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It wires the shared router to Val Town's SQLite and nothing else.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { handle } from \"../src/router.js\";\nimport { initSchema } from \"../src/db.js\";\nimport { SCHEMA } from \"../src/schema.js\";\n\nlet ready: Promise | null = null;\nfunction ensureSchema() {\n if (!ready) ready = initSchema(sqlite, SCHEMA);\n return ready;\n}\n\nexport default async function (req: Request): Promise {\n await ensureSchema();\n return handle(req, {\n client: sqlite,\n now: new Date().toISOString(),\n adminKey: Deno.env.get(\"ADMIN_KEY\"),\n // Optional. When set, /about and /sponsor publish a contact route. Until then both\n // say so plainly rather than inventing one.\n contactEmail: Deno.env.get(\"CONTACT_EMAIL\"),\n // sendEmail is deliberately absent. The subscribe route checks for it and tells\n // the visitor the truth when it is missing, instead of promising a confirmation\n // email that nothing is going to send.\n });\n}\n","// Val Town HTTP val. It wires the shared router to Val Town's SQLite and nothing else.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { handle } from \"../src/router.js\";\nimport { initSchema } from \"../src/db.js\";\nimport { SCHEMA, MIGRATIONS } from \"../src/schema.js\";\n\nlet ready: Promise | null = null;\nfunction ensureSchema() {\n if (!ready) ready = initSchema(sqlite, SCHEMA, MIGRATIONS);\n return ready;\n}\n\nexport default async function (req: Request): Promise {\n await ensureSchema();\n return handle(req, {\n client: sqlite,\n now: new Date().toISOString(),\n adminKey: Deno.env.get(\"ADMIN_KEY\"),\n // Optional. When set, /about and /sponsor publish a contact route. Until then both\n // say so plainly rather than inventing one.\n contactEmail: Deno.env.get(\"CONTACT_EMAIL\"),\n // sendEmail is deliberately absent. The subscribe route checks for it and tells\n // the visitor the truth when it is missing, instead of promising a confirmation\n // email that nothing is going to send.\n });\n}\n","createdAt",["D",1788466229312],"branchVersion","branchId","c8dc6bc1-531b-4b2b-9d03-7e32281b6f29","id","5923a59d-1da5-40e1-bcc1-236c883917f3","inference-index",["D",1788438548015],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Price history and change alerts for image and video models","imageUrl","0b3f5114-fb40-4060-b6f7-df07b67b8e09","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","01a06731-c164-775f-a1ef-11bda3ba1211","tursoName","5923a59d1da540e1bcc1236c883917f3","tursoHostname","5923a59d1da540e1bcc1236c883917f3-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789480235853],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_100":99,"_107":102},"org",{"_100":99,"_101":102,"_103":102,"_18":56,"_104":105,"_106":25},"branch",{"_13":89,"_32":90,"_44":43,"_91":45,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":46,"_98":99},"isOwned",207,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","protonmails","handle","displayName","","avatar","tier","pro","canRestrictVals","profileImageUrl","branchName","adoptOrgId",{"_44":45,"_32":46,"_39":360,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":31,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":69,"_70":361,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":362,"_84":363,"_86":364,"_88":25},"tree",[175,193,196,197],"files",[175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197],"counts",{"_165":63,"_166":148,"_167":63,"_168":169,"_170":171},"contents",[130,131,132,133],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{"_31":129},"modelpricehistory.com",{"_44":159,"_32":160,"_30":161,"_137":-5,"_42":43,"_41":162,"_139":59,"_39":163,"_13":63,"_34":157,"_36":-5,"_24":25,"_142":-5,"_27":164},{"_44":152,"_32":153,"_30":154,"_137":-5,"_42":43,"_41":155,"_139":59,"_39":156,"_13":63,"_34":157,"_36":-5,"_24":25,"_142":-5,"_27":158},{"_44":145,"_32":146,"_30":147,"_137":-5,"_42":43,"_41":148,"_139":59,"_39":149,"_13":63,"_34":20,"_36":150,"_24":25,"_142":-5,"_27":151},{"_44":134,"_32":135,"_30":136,"_137":-5,"_42":43,"_41":138,"_139":59,"_39":140,"_13":63,"_34":35,"_36":141,"_24":25,"_142":143,"_27":144},"d959b7b7-cf87-4399-9b65-9f141dd4eba2","main.ts","7b63a536-a7b9-11f1-9f1c-1607ee4eb77e","parentId",63,"latest",["D",1788455050599],"// Root HTTP entrypoint.\n//\n// Exists so the custom-domain file picker has an obvious, top-level target. The real\n// handler lives in valtown/http.ts; this is a one-line re-export so there is exactly\n// one implementation and no chance of the two drifting apart.\nexport { default } from \"./valtown/http.ts\";\n","label","modelpricehistory",[135],"f589f6a6-bec9-4de8-be0b-456beb905098","README.md","0f1bdda6-a793-11f1-a3ca-1607ee4eb77e",1,["D",1788438548051],"# Inference Index\n\nPrice history and change alerts for AI image and video generation models.\n",[146],"766735c2-a732-4d12-98d1-4705e55c21f9","valtown","d7a8ae44-8e7d-447d-8f70-30148c936f60",12,["D",1788439577767],"directory",[153],"56fa228f-a094-4629-9408-e1c00107aa0b","src","132301c4-95f4-4bca-ad65-84d68cb40af2",2,["D",1788438577468],[160],"pulls","branches","forks","envVars",{"_172":148,"_174":63},"connections",{"_172":63,"_173":63},"count","unfilledCount","emptyCount",{"_44":159,"_32":160,"_30":161,"_137":-5,"_42":43,"_41":162,"_139":59,"_39":357,"_13":63,"_34":157,"_36":-5,"_24":25,"_142":-5,"_199":358,"_27":359},{"_44":353,"_32":297,"_30":291,"_137":161,"_42":43,"_41":324,"_139":59,"_39":354,"_13":63,"_34":157,"_36":-5,"_24":25,"_142":-5,"_199":355,"_27":356},{"_44":345,"_32":346,"_30":347,"_137":291,"_42":43,"_41":348,"_139":25,"_39":349,"_13":63,"_34":227,"_36":350,"_24":25,"_142":-5,"_199":351,"_27":352},{"_44":337,"_32":338,"_30":339,"_137":291,"_42":43,"_41":340,"_139":59,"_39":341,"_13":332,"_34":227,"_36":342,"_24":25,"_142":-5,"_199":343,"_27":344},{"_44":329,"_32":330,"_30":331,"_137":291,"_42":43,"_41":332,"_139":59,"_39":333,"_13":63,"_34":227,"_36":334,"_24":25,"_142":-5,"_199":335,"_27":336},{"_44":321,"_32":322,"_30":323,"_137":291,"_42":43,"_41":324,"_139":59,"_39":325,"_13":63,"_34":227,"_36":326,"_24":25,"_142":-5,"_199":327,"_27":328},{"_44":313,"_32":314,"_30":315,"_137":291,"_42":43,"_41":316,"_139":59,"_39":317,"_13":63,"_34":227,"_36":318,"_24":25,"_142":-5,"_199":319,"_27":320},{"_44":306,"_32":307,"_30":308,"_137":291,"_42":43,"_41":214,"_139":59,"_39":309,"_13":63,"_34":227,"_36":310,"_24":25,"_142":-5,"_199":311,"_27":312},{"_44":298,"_32":299,"_30":300,"_137":291,"_42":43,"_41":301,"_139":59,"_39":302,"_13":260,"_34":227,"_36":303,"_24":25,"_142":-5,"_199":304,"_27":305},{"_44":288,"_32":289,"_30":290,"_137":291,"_42":43,"_41":292,"_139":59,"_39":293,"_13":63,"_34":227,"_36":294,"_24":25,"_142":-5,"_199":295,"_27":296},{"_44":280,"_32":281,"_30":282,"_137":161,"_42":43,"_41":283,"_139":25,"_39":284,"_13":244,"_34":227,"_36":285,"_24":25,"_142":-5,"_199":286,"_27":287},{"_44":272,"_32":273,"_30":274,"_137":161,"_42":43,"_41":275,"_139":25,"_39":276,"_13":148,"_34":227,"_36":277,"_24":25,"_142":-5,"_199":278,"_27":279},{"_44":265,"_32":266,"_30":267,"_137":161,"_42":43,"_41":244,"_139":59,"_39":268,"_13":63,"_34":227,"_36":269,"_24":25,"_142":-5,"_199":270,"_27":271},{"_44":257,"_32":258,"_30":259,"_137":161,"_42":43,"_41":260,"_139":59,"_39":261,"_13":63,"_34":227,"_36":262,"_24":25,"_142":-5,"_199":263,"_27":264},{"_44":248,"_32":249,"_30":250,"_137":161,"_42":43,"_41":251,"_139":25,"_39":252,"_13":253,"_34":227,"_36":254,"_24":25,"_142":-5,"_199":255,"_27":256},{"_44":239,"_32":240,"_30":241,"_137":161,"_42":43,"_41":242,"_139":25,"_39":243,"_13":244,"_34":227,"_36":245,"_24":25,"_142":-5,"_199":246,"_27":247},{"_44":231,"_32":232,"_30":233,"_137":161,"_42":43,"_41":234,"_139":25,"_39":235,"_13":148,"_34":227,"_36":236,"_24":25,"_142":-5,"_199":237,"_27":238},{"_44":222,"_32":223,"_30":224,"_137":161,"_42":43,"_41":225,"_139":59,"_39":226,"_13":63,"_34":227,"_36":228,"_24":25,"_142":-5,"_199":229,"_27":230},{"_44":152,"_32":153,"_30":154,"_137":-5,"_42":43,"_41":155,"_139":59,"_39":219,"_13":63,"_34":157,"_36":-5,"_24":25,"_142":-5,"_199":220,"_27":221},{"_44":209,"_32":210,"_30":211,"_137":154,"_42":43,"_41":212,"_139":59,"_39":213,"_13":214,"_34":215,"_36":216,"_24":25,"_142":-5,"_199":217,"_27":218},{"_44":205,"_32":33,"_30":31,"_137":154,"_42":43,"_41":14,"_139":25,"_39":206,"_13":162,"_34":35,"_36":38,"_24":25,"_142":-5,"_199":207,"_27":208},{"_44":145,"_32":146,"_30":147,"_137":-5,"_42":43,"_41":148,"_139":59,"_39":202,"_13":63,"_34":20,"_36":150,"_24":25,"_142":-5,"_199":203,"_27":204},{"_44":134,"_32":135,"_30":136,"_137":-5,"_42":43,"_41":138,"_139":59,"_39":198,"_13":63,"_34":35,"_36":141,"_24":25,"_142":143,"_199":200,"_27":201},["D",1788455050599],"children",[],[135],["D",1788438548051],[],[146],"fb20701f-b4b0-4cd7-b139-de643171cdba",["D",1788466229312],[],[153,33],"6bab92b3-08cc-4187-9944-2866244b9ef4","cron.ts","7cd3ef8a-a795-11f1-a766-1607ee4eb77e",98,["D",1788466211728],7,"interval","// Val Town interval val. Cron: 0 3 * * * (03:00 UTC daily). Cron on Val Town is always UTC.\n//\n// A second lighter pass at 12:00 UTC can point at the same file; the pipeline is\n// idempotent because every capture is a new row and the policy compares to the last one.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { initSchema, run as dbRun } from \"../src/db.js\";\nimport { SCHEMA, MIGRATIONS } from \"../src/schema.js\";\nimport { runCollection, releaseVetoes, ingestCandidate } from \"../src/ingest.js\";\nimport { replicateCollector } from \"../src/collectors/replicate.js\";\nimport { runwayCollector } from \"../src/collectors/runway.js\";\nimport { wavespeedCollector } from \"../src/collectors/wavespeed.js\";\nimport { novitaCollector } from \"../src/collectors/novita.js\";\nimport { aimlapiCollector } from \"../src/collectors/aimlapi.js\";\nimport { falApiCollector, collectFalApi } from \"../src/collectors/fal-api.js\";\n\nconst UA = \"InferenceIndexBot/1.0 (+https://modelpricehistory.com/about)\";\n\n// Page-scraping collectors: one fetch, one parse, handled by runCollection.\nconst PAGE_COLLECTORS = [\n replicateCollector,\n runwayCollector,\n wavespeedCollector,\n novitaCollector,\n aimlapiCollector,\n];\n\n// fal is separate because it paginates its own JSON API across 38 requests rather\n// than parsing one page. The old HTML collector at src/collectors/fal.js is retired:\n// fal removed per-model pricing from fal.ai/pricing on 3 Sep 2026. See doc 17.\nasync function collectFal(now: string) {\n const started = new Date().toISOString();\n let rows: any[] = [];\n let error: string | null = null;\n let skips: Record = {};\n\n try {\n const out = await collectFalApi({ fetchImpl: fetch, now, userAgent: UA, maxPages: 40, pageDelayMs: 60 });\n rows = out.rows;\n skips = out.skips;\n // Zero parseable rows from a source that had 141 yesterday is a shape change,\n // not a quiet day. Treat it as a failure so nothing is published and the last\n // verified prices stay up with their dates visible.\n if (rows.length === 0) error = \"fal API returned zero parseable rows\";\n } catch (e: any) {\n error = String(e && e.message ? e.message : e);\n }\n\n await dbRun(\n sqlite,\n `INSERT INTO collector_runs (provider, started_at, finished_at, ok, found, error) VALUES (?,?,?,?,?,?)`,\n [\"fal\", started, new Date().toISOString(), error ? 0 : 1, rows.length, error]\n );\n\n if (error) return { provider: \"fal\", ok: false, found: 0, error, published: 0, flagged: [], vetoed: [], held: [], skips };\n\n const flagged: any[] = [];\n const vetoed: any[] = [];\n const held: any[] = [];\n let published = 0;\n for (const row of rows) {\n const o = await ingestCandidate(sqlite, falApiCollector, row, now);\n if (o.action === \"flag\") flagged.push(o);\n else if (o.action === \"veto\") vetoed.push(o);\n else if (o.action === \"hold\") held.push(o);\n if (o.stored) published++;\n }\n return { provider: \"fal\", ok: true, found: rows.length, error: null, published, flagged, vetoed, held, skips };\n}\n\nexport default async function (interval: Interval) {\n await initSchema(sqlite, SCHEMA, MIGRATIONS);\n const now = new Date().toISOString();\n\n const report: any = await runCollection(sqlite, PAGE_COLLECTORS, { now, fetchImpl: fetch, userAgent: UA });\n\n const fal = await collectFal(now);\n report.providers.push({ provider: fal.provider, ok: fal.ok, found: fal.found, error: fal.error });\n report.published += fal.published;\n report.flagged.push(...fal.flagged);\n report.vetoed.push(...fal.vetoed);\n report.held.push(...fal.held);\n if (fal.error) report.errors.push({ provider: \"fal\", error: fal.error });\n report.fal_skips = fal.skips;\n\n report.vetoes_released = await releaseVetoes(sqlite, now);\n\n // Logged, not emailed. Only vetoes and parse failures deserve a human.\n console.log(JSON.stringify(report));\n\n if (report.errors.length || report.vetoed.length) {\n console.log(\"NEEDS ATTENTION\", JSON.stringify({ errors: report.errors, vetoed: report.vetoed }));\n }\n return report;\n}\n",[],[153,210],["D",1788439577767],[194,195],[153],"345d5e0f-7363-4e86-9c62-5e461b57b55a","seed.js","468aac4a-a793-11f1-8dc9-1607ee4eb77e",8,["D",1788438641054],"script","// Seed rates, hand verified 2 September 2026.\n//\n// These come from a published secondary compilation, not from the vendor's own\n// page, so they carry parse_confidence 0.9 and say so on the model page. The\n// live collectors overwrite them with primary observations on the first run,\n// and every one of them keeps its source link and capture date.\n\nexport const SEED_SOURCE = 'https://invideo.io/blog/ai-video-model-pricing/';\n\nexport const seedCollector = {\n provider: 'vendor-direct',\n vendor_fallback: 'vendor',\n source_url: SEED_SOURCE,\n needs_live_verification: true,\n parse() {\n const v = (display_name, vendor, native_price, resolution, extra = {}) => ({\n display_name, vendor, modality: 'video', native_unit: 'per_second',\n native_price, native_currency: 'USD', fx_rate: 1, resolution,\n parse_confidence: 0.9, notes: 'secondary source, pending primary verification',\n ...extra,\n });\n return [\n v('P-Video', 'Pruna', 0.03, '720p'),\n v('LTX-2.3 Fast', 'Lightricks', 0.06, '1080p'),\n v('Grok Video 1.5', 'xAI', 0.08, '1080p'),\n v('Veo 3.1 Fast', 'Google', 0.10, '720p'),\n v('MiniMax H3', 'MiniMax', 0.13, '2K'),\n v('Sora 2 Pro', 'OpenAI', 0.70, '1080p', {\n status: 'sunset', sunset_date: '2026-09-24',\n notes: 'API sunset announced for 24 Sep 2026',\n }),\n // Quoted in CNY. Stored native with the FX rate applied at capture, so a\n // currency move is never mistaken for a price move.\n {\n display_name: 'Kling 3.0 Turbo', vendor: 'Kuaishou', modality: 'video',\n native_unit: 'per_second', native_price: 0.8, native_currency: 'CNY',\n fx_rate: 0.14, resolution: '1080p', parse_confidence: 0.9,\n notes: 'quoted in CNY, FX applied at capture',\n },\n ];\n },\n};\n",[],[160,223],"bd798f98-1346-4f52-8c2b-cb7ffd25d97e","schema.js","20a5ff3e-a793-11f1-941d-1607ee4eb77e",84,["D",1788465963845],"// Schema as a module, so runtimes without filesystem access can apply it.\n// Keep this in sync with schema.sql. The test suite asserts they are identical.\nexport const SCHEMA = `-- Inference Index schema. Append only. Nothing is ever overwritten or deleted.\n\nCREATE TABLE IF NOT EXISTS models (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n slug TEXT NOT NULL UNIQUE,\n display_name TEXT NOT NULL,\n vendor TEXT NOT NULL,\n modality TEXT NOT NULL CHECK (modality IN ('video','image')),\n status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('active','deprecated','sunset')),\n first_seen_at TEXT NOT NULL,\n sunset_date TEXT,\n notes TEXT\n);\n\n-- Every capture is a new row. Never UPDATE, never DELETE.\nCREATE TABLE IF NOT EXISTS price_points (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n model_id INTEGER NOT NULL REFERENCES models(id),\n provider TEXT NOT NULL,\n endpoint_url TEXT,\n tier TEXT NOT NULL DEFAULT 'standard',\n resolution TEXT NOT NULL DEFAULT 'unspecified',\n native_unit TEXT NOT NULL,\n native_price REAL NOT NULL,\n native_currency TEXT NOT NULL DEFAULT 'USD',\n fx_rate REAL NOT NULL DEFAULT 1.0,\n normalised_price_usd REAL NOT NULL,\n clip_seconds REAL,\n outputs INTEGER NOT NULL DEFAULT 1,\n source_url TEXT NOT NULL,\n captured_at TEXT NOT NULL,\n parse_confidence REAL NOT NULL DEFAULT 1.0,\n is_promotional INTEGER NOT NULL DEFAULT 0,\n promo_ends_at TEXT\n);\nCREATE INDEX IF NOT EXISTS ix_pp_lookup ON price_points (model_id, provider, tier, resolution, captured_at DESC);\nCREATE INDEX IF NOT EXISTS ix_pp_captured ON price_points (captured_at DESC);\n\nCREATE TABLE IF NOT EXISTS changes (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n model_id INTEGER NOT NULL REFERENCES models(id),\n provider TEXT NOT NULL,\n tier TEXT NOT NULL DEFAULT 'standard',\n resolution TEXT NOT NULL DEFAULT 'unspecified',\n field_changed TEXT NOT NULL,\n old_value TEXT,\n new_value TEXT,\n pct_change REAL,\n detected_at TEXT NOT NULL,\n published_at TEXT,\n status TEXT NOT NULL CHECK (status IN ('auto_published','pending_veto','held','rejected')),\n source_url TEXT NOT NULL,\n note TEXT\n);\nCREATE INDEX IF NOT EXISTS ix_changes_detected ON changes (detected_at DESC);\n\n-- Parse failures and collector health. Feeds /admin and the daily note.\nCREATE TABLE IF NOT EXISTS collector_runs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n provider TEXT NOT NULL,\n started_at TEXT NOT NULL,\n finished_at TEXT,\n ok INTEGER NOT NULL DEFAULT 0,\n found INTEGER NOT NULL DEFAULT 0,\n error TEXT\n);\n\nCREATE TABLE IF NOT EXISTS subscribers (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n email TEXT NOT NULL UNIQUE,\n created_at TEXT NOT NULL,\n confirmed_at TEXT,\n confirm_token TEXT,\n plan TEXT NOT NULL DEFAULT 'free',\n stripe_customer_id TEXT,\n unsubscribed_at TEXT\n);\n\nCREATE TABLE IF NOT EXISTS watches (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n subscriber_id INTEGER NOT NULL REFERENCES subscribers(id),\n model_id INTEGER NOT NULL REFERENCES models(id),\n created_at TEXT NOT NULL,\n UNIQUE (subscriber_id, model_id)\n);\n\n-- Outbound clicks per provider. This is the sponsor pitch, so it is a first-class table.\nCREATE TABLE IF NOT EXISTS outbound_clicks (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n provider TEXT NOT NULL,\n model_slug TEXT,\n clicked_at TEXT NOT NULL,\n referer TEXT\n);\nCREATE INDEX IF NOT EXISTS ix_clicks_provider ON outbound_clicks (provider, clicked_at DESC);\n\nCREATE TABLE IF NOT EXISTS sponsors (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n provider TEXT NOT NULL,\n label TEXT NOT NULL,\n url TEXT NOT NULL,\n starts_at TEXT NOT NULL,\n ends_at TEXT NOT NULL,\n active INTEGER NOT NULL DEFAULT 1\n);\n`;\n\n/**\n * Additive migrations, applied after SCHEMA on every boot.\n *\n * They live here rather than in SCHEMA because `CREATE TABLE IF NOT EXISTS` is a\n * no-op against a table that already exists, so a column added to the DDL would\n * never reach a database that was created before it. Every statement here must be\n * safe to run repeatedly: initSchema swallows \"duplicate column name\" and nothing\n * else. SCHEMA stays byte-identical to schema.sql, which the test suite asserts.\n */\nexport const MIGRATIONS = [\n // 3 Sep 2026. The list price a promotional rate reverts to when it expires,\n // in the SAME native unit as native_price, so the ratio is the rise.\n // fal prints it in prose: \"the discount ends September 7, after which 480p is\n // $0.05/second\". Without it the home page can only say \"expires in 4 days\".\n // With it, it says \"rises 300% in 4 days\", which is the actual headline.\n `ALTER TABLE price_points ADD COLUMN reverts_to_price REAL`,\n];\n",[],[160,232],"d6784283-f18a-420d-a40d-16052137ba3c","router.js","82002fde-a793-11f1-a0ea-1607ee4eb77e",58,["D",1788454103190],5,"// Web layer. Standard Request in, Response out, so the same file serves\n// Val Town (Deno) and the local Node server with no adapter inside the app.\nimport * as db from './db.js';\nimport { isStale } from './policy.js';\nimport * as view from './render.js';\n\nconst PROVIDER_URL = {\n fal: 'https://fal.ai/pricing',\n replicate: 'https://replicate.com/pricing',\n 'vendor-direct': 'https://invideo.io/blog/ai-video-model-pricing/',\n runway: 'https://docs.dev.runwayml.com/guides/pricing/',\n wavespeed: 'https://wavespeed.ai/pricing',\n google: 'https://cloud.google.com/vertex-ai/generative-ai/pricing',\n openai: 'https://openai.com/api/pricing/',\n minimax: 'https://www.minimax.io/price',\n};\n\nfunction html(body, status = 200) {\n return new Response(body, { status, headers: { 'content-type': 'text/html; charset=utf-8' } });\n}\nfunction json(obj, status = 200) {\n return new Response(JSON.stringify(obj, null, 2), {\n status,\n headers: { 'content-type': 'application/json; charset=utf-8' },\n });\n}\nfunction redirect(location) {\n return new Response(null, { status: 302, headers: { location } });\n}\n\nfunction daysOfHistory(firstCapture, now) {\n if (!firstCapture) return 0;\n return Math.max(0, Math.floor((Date.parse(now) - Date.parse(firstCapture)) / 86400000));\n}\n\n/** Decorate current prices with the 30 day delta, staleness and sponsorship. */\nexport async function buildHomeRows(client, now) {\n const rows = await db.currentPrices(client);\n const cutoff = new Date(Date.parse(now) - 30 * 86400000).toISOString();\n const sponsors = await db.all(client, 'SELECT * FROM sponsors WHERE active=1 AND starts_at<=? AND ends_at>=?', [now, now]);\n const sponsored = new Set(sponsors.map((s) => s.provider));\n const out = [];\n for (const r of rows) {\n const past = await db.priceAsOf(client, r.model_id, r.provider, r.tier, r.resolution, cutoff);\n const pct = past && past.normalised_price_usd !== 0 && past.id !== r.id\n ? (r.normalised_price_usd - past.normalised_price_usd) / past.normalised_price_usd\n : null;\n out.push({ ...r, pct_30d: pct, stale: isStale(r.captured_at, now), sponsored: sponsored.has(r.provider) });\n }\n // Ranking is by price. Sponsorship never reorders. This is enforced here on purpose.\n out.sort((a, b) => a.normalised_price_usd - b.normalised_price_usd);\n return out;\n}\n\nexport async function handle(request, ctx) {\n const client = ctx.client;\n const now = ctx.now || new Date().toISOString();\n const url = new URL(request.url);\n const path = url.pathname.replace(/\\/+$/, '') || '/';\n\n if (path === '/health') return json({ ok: true, now });\n\n if (path === '/') {\n const rows = await buildHomeRows(client, now);\n const stats = await db.stats(client);\n const events = await db.upcomingPriceEvents(client, now.slice(0, 10));\n const providers = new Set(rows.map((r) => r.provider)).size;\n return html(view.homePage(rows, {\n modality: url.searchParams.get('m') || 'all',\n stats,\n events,\n providers,\n now,\n days_of_history: daysOfHistory(stats.first_capture, now),\n }));\n }\n\n if (path.startsWith('/model/')) {\n const slug = decodeURIComponent(path.slice('/model/'.length));\n const model = await db.one(client, 'SELECT * FROM models WHERE slug=?', [slug]);\n if (!model) return html(view.layout('Not found', '

Not found

No model with that slug.

'), 404);\n const points = await db.history(client, model.id);\n const changes = await db.all(\n client,\n \"SELECT * FROM changes WHERE model_id=? AND status='auto_published' ORDER BY detected_at DESC LIMIT 50\",\n [model.id]\n );\n return html(view.modelPage(model, points, changes, { now }));\n }\n\n if (path === '/changes') return html(view.changesPage(await db.recentChanges(client, 100)));\n\n if (path === '/changes.rss') {\n const changes = await db.recentChanges(client, 50);\n return new Response(view.rss(changes, url.origin), {\n headers: { 'content-type': 'application/rss+xml; charset=utf-8' },\n });\n }\n\n if (path === '/calculator') return html(view.calculatorPage(await db.currentPrices(client)));\n\n if (path === '/about') {\n const stats = await db.stats(client);\n return html(view.aboutPage(stats, daysOfHistory(stats.first_capture, now), ctx.contactEmail));\n }\n\n if (path === '/robots.txt') {\n // /admin is behind a key, but there is no reason to advertise it or the redirector.\n return new Response(\n `User-agent: *\\nDisallow: /admin\\nDisallow: /go/\\nAllow: /\\n\\nSitemap: ${url.origin}/sitemap.xml\\n`,\n { headers: { 'content-type': 'text/plain; charset=utf-8' } }\n );\n }\n\n if (path === '/sitemap.xml') {\n const models = await db.all(client, 'SELECT slug FROM models ORDER BY slug');\n const today = now.slice(0, 10);\n const urls = ['/', '/changes', '/calculator', '/subscribe', '/sponsor', '/api', '/about']\n .concat(models.map((m) => '/model/' + encodeURIComponent(m.slug)));\n const body =\n `\\n\\n` +\n urls.map((u) => `${view.esc(url.origin + u)}${today}`).join('\\n') +\n `\\n`;\n return new Response(body, { headers: { 'content-type': 'application/xml; charset=utf-8' } });\n }\n\n if (path === '/subscribe') {\n if (request.method === 'POST') {\n const form = await request.formData();\n const email = String(form.get('email') || '').trim().toLowerCase();\n if (!/^[^@\\s]+@[^@\\s.]+\\.[^@\\s]+$/.test(email)) {\n return html(view.subscribePage('That does not look like an email address.', null), 400);\n }\n const token = Math.random().toString(36).slice(2) + Date.now().toString(36);\n const { created, subscriber } = await db.addSubscriber(client, email, now, token);\n const watch = String(form.get('watch') || '');\n if (watch) {\n const m = await db.one(client, 'SELECT * FROM models WHERE slug=?', [watch]);\n if (m) {\n await db.run(client, 'INSERT OR IGNORE INTO watches (subscriber_id, model_id, created_at) VALUES (?,?,?)', [subscriber.id, m.id, now]);\n }\n }\n if (ctx.sendEmail && created) {\n await ctx.sendEmail({ to: email, subject: 'Confirm your Model Price History alerts', token });\n }\n // Do not promise an email that nobody is sending. Until ctx.sendEmail exists,\n // the honest message is that the address is stored and nothing has gone out.\n const stored = ctx.sendEmail\n ? 'Check your inbox and confirm. Nothing else is sent until you do.'\n : 'Saved. Nothing has been sent, not even a confirmation, because the alert engine is not built yet. The first email you get will be one asking you to confirm.';\n return html(view.subscribePage(created ? stored : 'You are already on the list.', null));\n }\n return html(view.subscribePage(null, url.searchParams.get('watch')));\n }\n\n if (path === '/sponsor') {\n const since = new Date(Date.parse(now) - 30 * 86400000).toISOString();\n const clicks = await db.clickCounts(client, since);\n const stats = await db.stats(client);\n return html(view.sponsorPage(clicks, stats, daysOfHistory(stats.first_capture, now)));\n }\n\n if (path === '/api') return html(view.apiPage());\n\n if (path === '/api/prices.json') {\n const rows = await db.currentPrices(client);\n return json({\n generated_at: now,\n unit: { video: 'USD per finished second', image: 'USD per finished image' },\n count: rows.length,\n prices: rows.map((r) => ({\n model: r.slug, display_name: r.display_name, vendor: r.vendor, modality: r.modality,\n provider: r.provider, tier: r.tier, resolution: r.resolution,\n native: { price: r.native_price, currency: r.native_currency, unit: r.native_unit, fx_rate: r.fx_rate },\n usd: r.normalised_price_usd, captured_at: r.captured_at,\n parse_confidence: r.parse_confidence, source_url: r.source_url,\n stale: isStale(r.captured_at, now),\n })),\n });\n }\n\n if (path === '/api/changes.json') {\n const changes = await db.recentChanges(client, 200);\n return json({ generated_at: now, count: changes.length, changes });\n }\n\n if (path === '/api/history.json') {\n const slug = url.searchParams.get('model');\n if (!slug) return json({ error: 'model parameter required' }, 400);\n const model = await db.one(client, 'SELECT * FROM models WHERE slug=?', [slug]);\n if (!model) return json({ error: 'unknown model' }, 404);\n return json({ model: model.slug, history: await db.history(client, model.id) });\n }\n\n if (path.startsWith('/go/')) {\n const provider = decodeURIComponent(path.slice('/go/'.length));\n const target = PROVIDER_URL[provider];\n if (!target) return json({ error: 'unknown provider' }, 404);\n await db.recordClick(client, provider, url.searchParams.get('m'), now, request.headers.get('referer'));\n return redirect(target);\n }\n\n if (path === '/admin') {\n const token = url.searchParams.get('key') || request.headers.get('x-admin-key');\n if (!ctx.adminKey || token !== ctx.adminKey) {\n return new Response('Unauthorized', { status: 401 });\n }\n const pending = await db.pendingChanges(client);\n const runs = await db.all(client, 'SELECT * FROM collector_runs ORDER BY started_at DESC, id DESC LIMIT 20');\n return html(view.adminPage(pending, runs, await db.stats(client)));\n }\n\n return html(view.layout('Not found', '

Not found

Nothing at that address.

'), 404);\n}\n",[],[160,240],"843b82fe-2c3b-4413-8501-db5642498716","render.js","aaa4ee6e-a795-11f1-b0b9-1607ee4eb77e",96,["D",1788466201798],27,"// Server-rendered HTML. No framework, no external assets, no build step.\nimport { formatUsd } from './normalise.js';\nimport { isStale } from './policy.js';\n\nexport function esc(s) {\n return String(s === null || s === undefined ? '' : s)\n .replace(/&/g, '&').replace(//g, '>')\n .replace(/\"/g, '"').replace(/'/g, ''');\n}\n\nconst CSS = `\n:root{--bg:#fbfaf8;--fg:#1a1a19;--muted:#6b6a66;--line:#e3e0d9;--card:#fff;--up:#a8321e;--down:#1d6b45;--accent:#2a4d8f;--chip:#f0ede7}\n:root[data-theme=dark],@media(prefers-color-scheme:dark){}\n@media(prefers-color-scheme:dark){:root:not([data-theme=light]){--bg:#131312;--fg:#eceae5;--muted:#9c9a93;--line:#2c2b28;--card:#1b1b19;--up:#e8785f;--down:#5fbf8f;--accent:#8fb3f0;--chip:#232320}}\n:root[data-theme=dark]{--bg:#131312;--fg:#eceae5;--muted:#9c9a93;--line:#2c2b28;--card:#1b1b19;--up:#e8785f;--down:#5fbf8f;--accent:#8fb3f0;--chip:#232320}\n*{box-sizing:border-box}\nbody{margin:0;background:var(--bg);color:var(--fg);font:15px/1.55 ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",Roboto,sans-serif}\n.wrap{max-width:1040px;margin:0 auto;padding:24px 18px 72px}\nheader.site{display:flex;flex-wrap:wrap;gap:14px;align-items:baseline;justify-content:space-between;border-bottom:1px solid var(--line);padding-bottom:14px;margin-bottom:22px}\n.brand{font-weight:650;font-size:17px;letter-spacing:-.01em;text-decoration:none;color:var(--fg)}\n/* Base link colour. Without this, links in tables fall back to the browser default\n #0000EE, which on the dark background is all but unreadable. Every model name and\n every source link was affected. */\na{color:var(--accent);text-decoration:none}\na:hover{text-decoration:underline}\ntd a{text-decoration:underline;text-decoration-color:color-mix(in srgb,var(--accent) 35%,transparent);text-underline-offset:2px}\ntd a:hover{text-decoration-color:var(--accent)}\nnav a{color:var(--muted);text-decoration:none;margin-left:14px;font-size:14px}\nnav a:hover{color:var(--accent);text-decoration:none}\nh1{font-size:26px;line-height:1.2;letter-spacing:-.02em;margin:0 0 6px}\nh2{font-size:18px;margin:32px 0 10px}\n.sub{color:var(--muted);margin:0 0 22px;max-width:62ch}\n.tablewrap{overflow-x:auto;border:1px solid var(--line);border-radius:10px;background:var(--card)}\ntable{border-collapse:collapse;width:100%;font-size:14px;min-width:640px}\nth,td{text-align:left;padding:9px 12px;border-bottom:1px solid var(--line);white-space:nowrap}\nth{font-weight:600;font-size:12px;text-transform:uppercase;letter-spacing:.04em;color:var(--muted)}\ntr:last-child td{border-bottom:0}\ntd.num,th.num{text-align:right;font-variant-numeric:tabular-nums}\n.up{color:var(--up)}.down{color:var(--down)}\n.chip{display:inline-block;background:var(--chip);border-radius:999px;padding:1px 8px;font-size:11px;color:var(--muted)}\n.stale{color:var(--up);font-size:11px}\n.spon{background:var(--chip)}\n.meta{color:var(--muted);font-size:12.5px}\n.card{border:1px solid var(--line);border-radius:10px;background:var(--card);padding:16px;margin:14px 0}\ninput[type=email],input[type=number],select{background:var(--bg);color:var(--fg);border:1px solid var(--line);border-radius:7px;padding:8px 10px;font:inherit;font-size:14px}\nbutton{background:var(--fg);color:var(--bg);border:0;border-radius:7px;padding:9px 14px;font:inherit;font-weight:550;cursor:pointer}\nfooter{margin-top:44px;padding-top:16px;border-top:1px solid var(--line);color:var(--muted);font-size:12.5px}\n.kpi{display:flex;gap:22px;flex-wrap:wrap;margin:0 0 20px}\n.kpi div{font-size:13px;color:var(--muted)}\n.kpi b{display:block;font-size:21px;color:var(--fg);font-variant-numeric:tabular-nums}\n.filters{margin:16px 0 10px;display:flex;gap:8px;flex-wrap:wrap}\n.filters a{font-size:13px;padding:4px 11px;border:1px solid var(--line);border-radius:999px;text-decoration:none;color:var(--muted)}\n.filters a[aria-current=true]{background:var(--fg);color:var(--bg);border-color:var(--fg)}\n.spark{display:block}\n.legend{display:flex;flex-wrap:wrap;gap:12px;margin:8px 0 0;font-size:12px;color:var(--muted)}\n.legend span{display:inline-flex;align-items:center;gap:5px}\n.legend i{width:10px;height:10px;border-radius:2px;display:inline-block}\n/* Keep the model name readable while a wide table scrolls sideways on a phone. */\nth:first-child,td:first-child{position:sticky;left:0;background:var(--card);z-index:1}\ntr.spon td:first-child{background:var(--chip)}\n.grouprow td{border-top:2px solid var(--line)}\n.varlist{font-variant-numeric:tabular-nums;line-height:1.35}\n.note{color:var(--muted);font-size:12.5px;margin:8px 0 0}\n.toolbar{display:flex;flex-wrap:wrap;gap:10px;align-items:center;margin:10px 0 6px}\n.toolbar input{flex:1 1 260px;max-width:340px}\n.toolbar .note{margin:0}\ntr[hidden]{display:none}\n`;\n\nexport function layout(title, body, opts = {}) {\n return `\n\n${esc(title)}\n\n\n\n\n\n\n\n\n

Model Price History\n

\n${body}\n\n

`;\n}\n\nfunction delta(pct) {\n if (pct === null || pct === undefined) return 'new';\n if (pct === 0) return '0%';\n const cls = pct > 0 ? 'up' : 'down';\n const sign = pct > 0 ? '+' : '';\n return `${sign}${(pct * 100).toFixed(1)}%`;\n}\n\n/** Whole days from today to an ISO date. Negative means past. */\nexport function daysUntil(isoDate, nowIso) {\n return Math.round((Date.parse(isoDate + 'T00:00:00Z') - Date.parse(nowIso.slice(0, 10) + 'T00:00:00Z')) / 86400000);\n}\n\n/**\n * One (provider, tier, resolution) combination. Two of these plotted as one line\n * draw a zigzag between two prices that never moved, which is worse than no chart.\n */\nexport function seriesLabel(p) {\n const parts = [p.provider];\n if (p.resolution && p.resolution !== 'unspecified') parts.push(p.resolution);\n if (p.tier && p.tier !== 'standard') parts.push(p.tier);\n return parts.join(' · ');\n}\n\nexport function splitSeries(points) {\n const map = new Map();\n for (const p of points) {\n const k = [p.provider, p.tier || 'standard', p.resolution || 'unspecified'].join('|');\n if (!map.has(k)) map.set(k, { label: seriesLabel(p), points: [] });\n map.get(k).points.push(p);\n }\n return [...map.values()];\n}\n\n/** Group scheduled events by end date, then by model, so two resolutions of one\n * model expiring together read as one fact instead of two rows of noise. */\nexport function groupEvents(events) {\n const byDate = new Map();\n for (const e of events) {\n if (!byDate.has(e.promo_ends_at)) byDate.set(e.promo_ends_at, new Map());\n const models = byDate.get(e.promo_ends_at);\n if (!models.has(e.slug)) {\n models.set(e.slug, {\n slug: e.slug, display_name: e.display_name, modality: e.modality,\n provider: e.provider, source_url: e.source_url, variants: [],\n });\n }\n models.get(e.slug).variants.push(e);\n }\n return [...byDate.entries()]\n .sort((a, b) => (a[0] < b[0] ? -1 : 1))\n .map(([date, models]) => ({ date, models: [...models.values()] }));\n}\n\n/**\n * The normalised price a promotional row reverts to when the promo ends.\n *\n * reverts_to_price is stored in the row's own native unit, and normalisation is\n * linear in price, so the reversion scales by exactly the same factor the current\n * price did. That is why no second trip through normalise() is needed, and why a\n * per-minute or per-clip row would be handled correctly too.\n */\nexport function revertedPrice(p) {\n if (!p || !Number.isFinite(p.reverts_to_price) || !Number.isFinite(p.native_price) || p.native_price <= 0) return null;\n return p.normalised_price_usd * (p.reverts_to_price / p.native_price);\n}\n\n/** Fractional rise from the promotional rate to the stated list price. */\nexport function revertRise(p) {\n const to = revertedPrice(p);\n if (to === null || !Number.isFinite(p.normalised_price_usd) || p.normalised_price_usd <= 0) return null;\n return to / p.normalised_price_usd - 1;\n}\n\n/**\n * Scheduled price events, above the table.\n *\n * The reason this leads instead of the 30-day delta: on day one every delta is empty\n * and every countdown is real. A provider printing \"this promo ends on the 7th\" is a\n * dated fact about the future, which is the one thing a live comparison table cannot\n * show you.\n *\n * Where the provider also prints the list price the rate reverts to, the row shows\n * the rise rather than just the expiry. \"Rises 300% in 4 days\" is a different claim\n * from \"expires in 4 days\", and it is the one a buyer acts on. Where the provider\n * does not state a list price, the cell says so instead of estimating one.\n */\nexport function priceEvents(events, nowIso) {\n if (!events || events.length === 0) return '';\n const groups = groupEvents(events);\n const rows = groups.map((g) => {\n const d = daysUntil(g.date, nowIso);\n const urgency = d <= 3 ? 'up' : '';\n const when = d === 0 ? 'today' : d === 1 ? 'tomorrow' : `in ${d} days`;\n return g.models.map((m, i) => {\n const sorted = m.variants.slice().sort((a, b) => a.normalised_price_usd - b.normalised_price_usd);\n const variants = sorted\n .map((v) => {\n const label = v.resolution && v.resolution !== 'unspecified' ? esc(v.resolution) + ' ' : '';\n const to = revertedPrice(v);\n const now = esc(formatUsd(v.normalised_price_usd, v.modality));\n if (to === null) return `${label}${now}`;\n return `${label}${now} to ${esc(formatUsd(to, v.modality))}`;\n })\n .join('
');\n // Every variant of one model has moved by the same factor in every case seen so\n // far, but that is an observation, not a guarantee, so a spread is shown as one.\n const rises = sorted.map(revertRise).filter((r) => r !== null);\n let riseCell = 'not stated';\n if (rises.length) {\n const lo = Math.min(...rises), hi = Math.max(...rises);\n const pct = (x) => `+${Math.round(x * 100)}%`;\n riseCell = `${esc(lo === hi ? pct(lo) : pct(lo) + ' to ' + pct(hi))}`;\n }\n return `\n${i === 0 ? esc(g.date) : ''}\n${i === 0 ? `${esc(when)}` : ''}\n${esc(m.display_name)}\n${esc(m.provider)}\n${variants}\n${riseCell}\nsource\n`;\n }).join('\\n');\n }).join('\\n');\n const n = groups.reduce((a, g) => a + g.models.length, 0);\n const priced = events.filter((e) => revertRise(e) !== null).length;\n return `\n

Promotional rates expiring

${n} model${n === 1 ? '' : 's'} sit on a promotional rate the provider has already put a date on. These prices are scheduled to rise${priced ? `, and for ${priced} of ${events.length} rates the provider has published the list price it rises to` : ''}. This is what a live comparison table cannot tell you.

\n\n${rows}

Ends	When	Model	Provider	Now, then	Rise	Source

`;\n}\n\nexport function homePage(rows, ctx) {\n const modality = ctx.modality || 'all';\n const filtered = rows.filter((r) => modality === 'all' || r.modality === modality);\n const moves = ctx.stats.price_moves || 0;\n const since = ctx.stats.first_capture ? ctx.stats.first_capture.slice(0, 10) : null;\n const days = ctx.days_of_history;\n // A big grey zero next to \"price moves\" reads as a broken counter. On day one the\n // honest thing is a sentence saying nothing has moved yet, not a KPI tile of noughts.\n const provenance = `

${since ? `Collecting since ${esc(since)}, ${esc(days)} day${days === 1 ? '' : 's'} of history, ${esc(ctx.stats.price_points)} price checks recorded. ` : ''}${moves === 0\n ? 'No price has moved since collection started. The moment one does it is recorded here and in the changes feed.'\n : `${esc(moves)} price ${moves === 1 ? 'move' : 'moves'} recorded so far, all in the changes feed.`}

`;\n const body = `\n

What AI generation actually costs, and what it cost before

Every other price page shows you today. This one keeps the history, records every change, and tells you before your bill changes.

${esc(ctx.stats.models)}models tracked

${esc(ctx.providers || 0)}providers compared

${esc((ctx.events || []).length)}price rises already dated

${esc(days)}day${days === 1 ? '' : 's'} of history

\n${provenance}\n${priceEvents(ctx.events, ctx.now)}\n

Every price we track

\n All\n Video\n Image\n

\n\n

Video is USD per finished second, image is USD per finished image.

\n\n\n${filtered.map((r) => `\n\n\n\n\n\n\n\n`).join('\\n')}\n

Model	Vendor	Provider	Res	Price	30d	Verified
${esc(r.display_name)}${r.status !== 'active' ? ` ${esc(r.status)}` : ''}${r.is_promotional ? ' promo' : ''}${r.sponsored ? ' sponsor' : ''}	${esc(r.vendor)}	${esc(r.provider)}	${esc(r.resolution === 'unspecified' ? 'n/a' : r.resolution)}	${esc(formatUsd(r.normalised_price_usd, r.modality))}	${delta(r.pct_30d)}	${esc(r.captured_at.slice(0, 10))}${r.stale ? ' stale' : ''}

\n\n

The 30d column is empty until a price has thirty days of history behind it. We never rescale one resolution into another, because no provider publishes a conversion factor and the result would be invented. Rows the provider quoted without a resolution show n/a.

`;\n return layout('Model Price History, AI image and video model prices', body);\n}\n\nconst SERIES_COLORS = ['#2a4d8f', '#a8321e', '#1d6b45', '#7a4b9c', '#b5761d', '#1f7a86'];\n\n/**\n * One line per (provider, tier, resolution).\n *\n * The previous version plotted every point of every variant as a single path, so a\n * model listed at two resolutions drew a sawtooth between two prices that had never\n * moved. A chart that invents a trend is worse than a sentence saying there is none.\n */\nexport function priceChart(points, modality, w = 560, h = 110) {\n if (!points || points.length === 0) return '

No observations recorded yet.

';\n const series = splitSeries(points);\n const days = new Set(points.map((p) => p.captured_at.slice(0, 10)));\n if (days.size < 2) {\n const only = [...days][0];\n const items = series.map((s) => {\n const last = s.points[s.points.length - 1];\n return `

${esc(formatUsd(last.normalised_price_usd, modality))} at ${esc(s.label)}

`;\n }).join('');\n return `

Every observation so far was captured on ${esc(only)}, so there is no movement to plot. On record today:

${items}\n

The chart appears once the collector has run on a second day.

`;\n }\n const xs = points.map((p) => Date.parse(p.captured_at));\n const ys = points.map((p) => p.normalised_price_usd);\n const x0 = Math.min(...xs), x1 = Math.max(...xs);\n const lo = Math.min(...ys), hi = Math.max(...ys);\n const pad = hi === lo ? Math.max(hi * 0.1, 0.0001) : (hi - lo) * 0.15;\n const y0 = Math.max(0, lo - pad), y1 = hi + pad;\n const px = (x) => (x1 === x0 ? 6 : 6 + ((x - x0) / (x1 - x0)) * (w - 12));\n const py = (y) => (y1 === y0 ? h / 2 : h - 10 - ((y - y0) / (y1 - y0)) * (h - 24));\n const paths = series.map((s, i) => {\n const c = SERIES_COLORS[i % SERIES_COLORS.length];\n const pts = s.points.slice().sort((a, b) => Date.parse(a.captured_at) - Date.parse(b.captured_at));\n const d = pts.map((p, j) => `${j ? 'L' : 'M'}${px(Date.parse(p.captured_at)).toFixed(1)},${py(p.normalised_price_usd).toFixed(1)}`).join(' ');\n const dots = pts.map((p) => ``).join('');\n return `${dots}`;\n }).join('');\n const legend = series.map((s, i) => `${esc(s.label)}`).join('');\n return `\n

${legend}

${esc(formatUsd(lo, modality))} to ${esc(formatUsd(hi, modality))} across ${days.size} capture days.

`;\n}\n\n/**\n * Collapse a run of identical captures into one row.\n *\n * Running the collector four times in one afternoon is a fact about operating the\n * site, not four facts about the price. The honest row says \"unchanged since X,\n * verified N times\", which is the claim actually being made.\n */\nexport function collapseObservations(points) {\n const out = [];\n for (const s of splitSeries(points)) {\n const ordered = s.points.slice().sort((a, b) => (a.captured_at < b.captured_at ? -1 : 1));\n let span = null;\n for (const p of ordered) {\n const same = span\n && span.normalised_price_usd === p.normalised_price_usd\n && span.native_price === p.native_price\n && span.native_unit === p.native_unit;\n if (same) {\n span.last = p.captured_at;\n span.n += 1;\n span.source_url = p.source_url;\n } else {\n if (span) out.push(span);\n span = { ...p, label: s.label, first: p.captured_at, last: p.captured_at, n: 1 };\n }\n }\n if (span) out.push(span);\n }\n out.sort((a, b) => (a.last < b.last ? 1 : a.last > b.last ? -1 : 0));\n return out;\n}\n\n// Retained for single-series callers and the existing tests.\nexport function sparkline(points, w = 560, h = 90) {\n if (!points || points.length < 2) return '

Not enough history yet. The chart appears after the second observation.

';\n const xs = points.map((p) => Date.parse(p.captured_at));\n const ys = points.map((p) => p.normalised_price_usd);\n const x0 = Math.min(...xs), x1 = Math.max(...xs);\n const y0 = Math.min(...ys), y1 = Math.max(...ys);\n const px = (x) => (x1 === x0 ? 4 : 4 + ((x - x0) / (x1 - x0)) * (w - 8));\n const py = (y) => (y1 === y0 ? h / 2 : h - 8 - ((y - y0) / (y1 - y0)) * (h - 20));\n const d = points.map((p, i) => `${i ? 'L' : 'M'}${px(Date.parse(p.captured_at)).toFixed(1)},${py(p.normalised_price_usd).toFixed(1)}`).join(' ');\n const dots = points.map((p) => ``).join('');\n return ``;\n}\n\nexport function modelPage(model, points, changes, ctx) {\n const spans = collapseObservations(points);\n const live = new Map();\n for (const s of spans) if (!live.has(s.label)) live.set(s.label, s);\n const current = [...live.values()].sort((a, b) => a.normalised_price_usd - b.normalised_price_usd);\n const cheapest = current[0] || null;\n const body = `\n

${esc(model.display_name)} pricing

${esc(model.vendor)} ${esc(model.modality)} model.${model.status !== 'active' ? ` Status: ${esc(model.status)}${model.sunset_date ? `, ${esc(model.sunset_date)}` : ''}.` : ''} ${cheapest ? `Cheapest on record is ${esc(formatUsd(cheapest.normalised_price_usd, model.modality))} at ${esc(cheapest.label)}, last verified ${esc(cheapest.last.slice(0, 10))}.` : ''}

\n${current.length > 1 ? `

Where you can run it today

\n\n${current.map((s) => ``).join('')}

Provider and resolution	Price	Last verified
${esc(s.label)}	${esc(formatUsd(s.normalised_price_usd, model.modality))}	${esc(s.last.slice(0, 10))}${s.is_promotional ? ' promo' : ''}

` : ''}\n

Price over time

${priceChart(points, model.modality)}

Price record

One row per price, not one per collector run. A price that has not moved stays a single row and counts how many times it was re-verified.

\n\n${spans.map((p) => `\n\n\n\n\n\n\n`).join('')}

Provider and resolution	Quoted	Normalised	First seen	Last verified	Source
${esc(p.label)}	${esc(p.native_price)} ${esc(p.native_currency)} ${esc(p.native_unit.replace('per_', 'per '))}${p.native_currency !== 'USD' ? ` fx ${esc(p.fx_rate)}` : ''}	${esc(formatUsd(p.normalised_price_usd, model.modality))}	${esc(p.first.slice(0, 10))}	${esc(p.last.slice(0, 10))}${p.n > 1 ? ` ${esc(p.n)} checks` : ''}	source${p.parse_confidence < 1 ? ` confidence ${esc(p.parse_confidence)}` : ''}

\n${changes.length ? `

Change log

${esc(c.detected_at.slice(0, 10))}, ${esc(seriesLabel(c))}: ${c.old_value === null ? 'first recorded at' : `${esc(Number(c.old_value).toFixed(4))} to`} ${esc(Number(c.new_value).toFixed(4))} USD${c.pct_change !== null ? ` (${(c.pct_change * 100).toFixed(1)}%)` : ''} source

` : ''}\n${model.notes ? `

Note: ${esc(model.notes)}

` : ''}\n

Get an alert when this price changes

`;\n return layout(`${model.display_name} pricing and price history`, body, {\n description: `Current and historical API pricing for ${model.display_name}, with every recorded change and its source.`,\n });\n}\n\nexport function changesPage(changes) {\n const body = `\n

Price changes

Every recorded change across image and video generation models, newest first. Rows marked first seen are a price entering the index, not a price that moved. RSS.

\n${changes.length === 0 ? '

No changes recorded yet. The feed fills as the collector runs.

' : ''}\n

\n\n${changes.map((c) => `\n\n\n\n\n\n\n\n`).join('')}

Date	Model	Where	From	To	Change	Source
${esc(c.detected_at.slice(0, 10))}	${esc(c.display_name)}	${esc(seriesLabel(c))}	${c.old_value === null ? 'first seen' : esc(Number(c.old_value).toFixed(4))}	${esc(Number(c.new_value).toFixed(4))}	${delta(c.pct_change)}	source

`;\n return layout('AI model price changes', body);\n}\n\nexport function rss(changes, origin) {\n const items = changes.map((c) => `\n${esc(c.display_name)}: ${c.old_value === null ? 'now tracked at' : `${Number(c.old_value).toFixed(4)} to`} ${Number(c.new_value).toFixed(4)} USD${c.pct_change !== null && c.pct_change !== 0 ? ` (${(c.pct_change * 100).toFixed(1)}%)` : ''}\n${esc(origin)}/model/${esc(c.slug)}\nchange-${esc(c.id)}\n${new Date(c.detected_at).toUTCString()}\n${esc(c.provider)} ${esc(c.resolution)}. Source: ${esc(c.source_url)}\n`).join('\\n');\n return `\nModel Price History price changes\n${esc(origin)}/changes\nEvery recorded price change for AI image and video generation models.\n${items}\n`;\n}\n\nexport function calculatorPage(rows) {\n // The same model can appear once per provider and once per resolution. Listing it\n // twice with no visible difference makes the table look broken, so the variant is\n // spelled out and exact duplicates are dropped.\n const seen = new Set();\n const data = [];\n for (const r of rows) {\n const variant = [\n r.resolution && r.resolution !== 'unspecified' ? r.resolution : null,\n r.tier && r.tier !== 'standard' ? r.tier : null,\n ].filter(Boolean).join(' ') || 'as quoted';\n const key = [r.display_name, r.provider, variant, r.normalised_price_usd].join('|');\n if (seen.has(key)) continue;\n seen.add(key);\n data.push({ n: r.display_name, s: r.slug, p: r.provider, m: r.modality, v: r.normalised_price_usd, r: variant });\n }\n const body = `\n

What it will actually cost you

Sticker price assumes every generation is usable. It never is. Set a realistic failure rate and see the number you will really pay, then compare providers on that number instead of the headline.

\nVolume per month
\nof
\nretry and failure rate
%\n

Model	Provider	Variant	Sticker	Real cost	vs cheapest

Real cost divides the sticker total by (1 minus your failure rate), which is what you pay when a share of generations has to be run again. It does not include storage, egress or the engineer waiting on the queue.

\n`;\n return layout('AI generation cost calculator', body);\n}\n\nexport function subscribePage(msg, watch) {\n const body = `\n

Price change alerts

Email when a model you watch changes price, a promotional rate expires, or a model is deprecated. Free tier watches three models and sends a weekly digest. Pro is unlimited models, instant alerts and webhooks at EUR 19 per month.

\n${msg ? `

${esc(msg)}

` : ''}\n`;\n return layout('AI model price change alerts', body);\n}\n\nexport function sponsorPage(clicks, stats, days) {\n const total = clicks.reduce((a, c) => a + c.clicks, 0);\n const body = `\n

Sponsor a row

The numbers below are live from the database, not a media kit. Buy a slot without talking to anyone.

${esc(total)}outbound clicks, last 30 days

${esc(stats.models)}models listed

${esc(days)}days of price history

Clicks we sent, by provider

\n${clicks.length ? clicks.map((c) => ``).join('') : ''}

Provider	Clicks, 30 days
${esc(c.provider)}	${esc(c.clicks)}
No clicks recorded yet.

What a sponsored row is

Your row carries your logo and a \"sponsor\" label. It does not move up the table. Ranking is by price, always, and that is the only reason anyone trusts this page. EUR 300 per month for the modality section, EUR 800 for the whole site. Cancel any time.

Self serve checkout goes here once payments are connected. Until then the contact route is on the about page.

`;\n return layout('Sponsor a row on Model Price History', body);\n}\n\nexport function apiPage() {\n const body = `\n

Data API

Everything on this site as JSON. Current prices are free and unauthenticated. History and change feeds are EUR 29 per month, and the full historical export is EUR 149 one off.

GET /api/prices.json

Current normalised price for every model and provider. Free.

GET /api/changes.json

Recorded changes, newest first. Free for the last 30 days.

GET /api/history.json?model=SLUG

Every observation for one model. Requires a key.

No rate limits worth mentioning. Attribution appreciated, not required.

`;\n return layout('Model Price History API', body);\n}\n\nexport function aboutPage(stats, days, contactEmail) {\n const body = `\n

How this works

Model Price History records what AI image and video generation costs, every day, and keeps the history. Other price pages show you today. This one shows you what changed and when.

\n\n

Where the numbers come from

A collector reads each provider's own published pricing page once a night at 03:00 UTC and stores what it says. Every row on this site carries the URL it came from and the date it was last verified. Nothing is typed in by hand and nothing is estimated.

\n\n

How prices are made comparable

Video is stored as USD per finished second, image as USD per finished image, both at the resolution the provider quotes. Prices quoted in credits are converted using the credit value printed on the same page. Prices quoted in another currency are stored in that currency with the exchange rate applied at capture, so a currency move is never mistaken for a price move.

We never rescale one resolution into another. No provider publishes a conversion factor between 720p and 1080p, so any such number would be invented. Rows say the resolution they were quoted at, and where a provider prints no resolution the row says \"unspecified\" rather than guessing.

\n\n

What happens when a source breaks

If a page changes shape and the collector reads zero rows, the run is recorded as a failure and nothing is published. The previous price stays up with its original verification date visible, marked stale after 72 hours. A change over 50 percent, a price falling to zero, or a model disappearing is held for six hours before publishing. A missed update is recoverable. A wrong number that someone quotes in a budget meeting is not.

This is not theoretical. On the first day of live collection one provider removed per-model pricing from its pricing page entirely. The run failed, nothing was published, and no invented number reached this site.

\n\n

What is deliberately not here

Text token pricing. It is well covered elsewhere and this site would be worse for adding it. Quality benchmarks are not here either: Artificial Analysis does that properly.

\n\n

Corrections

If a number here is wrong, it is worth telling us, and the correction is published in the changes feed rather than edited in silently. ${contactEmail ? `Contact: ${esc(contactEmail)}.` : 'A contact address goes here before launch.'}

\n\n

Current state

${esc(stats.models)}models tracked

${esc(stats.price_points)}observations recorded

${esc(days)}days of history

Day one is honest about being day one. The history is the product, and it is worth exactly as many days as it has been running.

\n\n

The bot

Collection identifies itself as InferenceIndexBot/1.0 and reads one page per provider per day. If you run one of these sites and would rather it did not, say so and it stops.

`;\n return layout('How Model Price History works', body, {\n description: 'Where the prices come from, how they are normalised, and what happens when a source breaks.',\n });\n}\n\nexport function adminPage(pending, runs, stats) {\n const body = `\n

Admin

${esc(pending.length)}awaiting your call

${esc(stats.price_points)}observations

${esc(stats.subscribers)}subscribers

Pending vetoes and holds

\n${pending.length === 0 ? '

Nothing waiting. This is the normal state.

' : `

\n\n${pending.map((p) => ``).join('')}

Detected	Model	Provider	From	To	Status	Why
${esc(p.detected_at.slice(0, 16).replace('T', ' '))}	${esc(p.display_name)}	${esc(p.provider)}	${p.old_value === null ? 'new' : esc(p.old_value)}	${esc(p.new_value)}	${esc(p.status)}	${esc(p.note)}

`}\n

Collector health

\n${runs.map((r) => ``).join('')}

Provider	Last run	OK	Rows	Error
${esc(r.provider)}	${esc(r.started_at.slice(0, 16).replace('T', ' '))}	${r.ok ? 'yes' : 'no'}	${esc(r.found)}	${esc(r.error \|\| '')}

`;\n return layout('Admin', body);\n}\n+(x>=100?x.toFixed(0):x.toFixed(2));}\nfunction render(){\n const vol=+document.getElementById('vol').value||0;\n const mod=document.getElementById('mod').value;\n const fail=Math.min(0.9,(+document.getElementById('fail').value||0)/100);\n const rows=DATA.filter(d=>d.m===mod).sort((a,b)=>a.v-b.v);\n const base=rows.length?rows[0].v*vol/(1-fail):0;\n document.getElementById('summary').textContent=rows.length\n ? 'Cheapest is '+rows[0].n+' on '+rows[0].p+' at '+money(base)+' per month. Dearest tracked is '+money(rows[rows.length-1].v*vol/(1-fail))+'.'\n : 'No prices tracked for that modality yet.';\n document.getElementById('out').innerHTML=rows.map(function(d,i){\n const s=d.v*vol, r=s/(1-fail), extra=r-base;\n return ''+d.n+''+d.p+''+d.r+''+money(s)+''+money(r)+''+(i===0?'cheapest':'+'+money(extra))+'';\n }).join('');\n}\nfor(const id of ['vol','mod','fail'])document.getElementById(id).addEventListener('input',render);\nrender();\n`;\n return layout('AI generation cost calculator', body);\n}\n\nexport function subscribePage(msg, watch) {\n const body = `\n

Price change alerts

\n${msg ? `

${esc(msg)}

Sponsor a row

The numbers below are live from the database, not a media kit. Buy a slot without talking to anyone.

${esc(total)}outbound clicks, last 30 days

${esc(stats.models)}models listed

${esc(days)}days of price history

Clicks we sent, by provider

\n${clicks.length ? clicks.map((c) => ``).join('') : ''}

Provider	Clicks, 30 days
${esc(c.provider)}	${esc(c.clicks)}
No clicks recorded yet.

What a sponsored row is

Self serve checkout goes here once payments are connected. Until then the contact route is on the about page.

`;\n return layout('Sponsor a row on Model Price History', body);\n}\n\nexport function apiPage() {\n const body = `\n

Data API

Everything on this site as JSON. Current prices are free and unauthenticated. History and change feeds are EUR 29 per month, and the full historical export is EUR 149 one off.

GET /api/prices.json

Current normalised price for every model and provider. Free.

GET /api/changes.json

Recorded changes, newest first. Free for the last 30 days.

GET /api/history.json?model=SLUG

Every observation for one model. Requires a key.

No rate limits worth mentioning. Attribution appreciated, not required.

`;\n return layout('Model Price History API', body);\n}\n\nexport function aboutPage(stats, days, contactEmail) {\n const body = `\n

How this works

Model Price History records what AI image and video generation costs, every day, and keeps the history. Other price pages show you today. This one shows you what changed and when.

\n\n

Where the numbers come from

\n\n

How prices are made comparable

\n\n

What happens when a source breaks

\n\n

What is deliberately not here

Text token pricing. It is well covered elsewhere and this site would be worse for adding it. Quality benchmarks are not here either: Artificial Analysis does that properly.

\n\n

Corrections

\n\n

Current state

${esc(stats.models)}models tracked

${esc(stats.price_points)}observations recorded

${esc(days)}days of history

Day one is honest about being day one. The history is the product, and it is worth exactly as many days as it has been running.

\n\n

The bot

Collection identifies itself as InferenceIndexBot/1.0 and reads one page per provider per day. If you run one of these sites and would rather it did not, say so and it stops.

Admin

${esc(pending.length)}awaiting your call

${esc(stats.price_points)}observations

${esc(stats.subscribers)}subscribers

Pending vetoes and holds

\n${pending.length === 0 ? '

Nothing waiting. This is the normal state.

' : `

\n\n${pending.map((p) => ``).join('')}

Detected	Model	Provider	From	To	Status	Why
${esc(p.detected_at.slice(0, 16).replace('T', ' '))}	${esc(p.display_name)}	${esc(p.provider)}	${p.old_value === null ? 'new' : esc(p.old_value)}	${esc(p.new_value)}	${esc(p.status)}	${esc(p.note)}

`}\n

Collector health

\n${runs.map((r) => ``).join('')}

Provider	Last run	OK	Rows	Error
${esc(r.provider)}	${esc(r.started_at.slice(0, 16).replace('T', ' '))}	${r.ok ? 'yes' : 'no'}	${esc(r.found)}	${esc(r.error \|\| '')}

`;\n return layout('Admin', body);\n}\n",[],[160,249],"bf3e7d29-bf21-4bc2-ba30-f0eda6203750","policy.js","27590b00-a793-11f1-8b39-1607ee4eb77e",3,["D",1788438588727],"// Confidence-tiered publishing policy.\n//\n// The rule that outranks every other rule: a wrong number published silently is\n// worse than a missed update. When the parse is not clean, we hold and keep the\n// last known good value marked stale.\n\nexport const AUTO_LIMIT = 0.10; // under 10 percent: publish, log only\nexport const FLAG_LIMIT = 0.50; // 10 to 50 percent: publish, flag in the daily note\nexport const VETO_HOURS = 6; // over 50 percent: hold for a veto window\nexport const MIN_CONFIDENCE = 0.8;\nexport const STALE_HOURS = 72;\n\n/**\n * Decide what to do with a freshly collected candidate.\n * @param {{normalised_price_usd:number, parse_confidence:number}|null} previous last stored point, null if new\n * @param {{normalised_price_usd:number, parse_confidence:number, missing?:boolean}} candidate\n * @returns {{action:'insert_new'|'publish'|'flag'|'veto'|'hold', status:string, pct:number|null, reason:string}}\n */\nexport function decide(previous, candidate) {\n if (candidate.missing) {\n return { action: 'veto', status: 'pending_veto', pct: null, reason: 'model disappeared from source' };\n }\n if (!Number.isFinite(candidate.normalised_price_usd)) {\n return { action: 'hold', status: 'held', pct: null, reason: 'unparseable price' };\n }\n if (candidate.parse_confidence < MIN_CONFIDENCE) {\n return { action: 'hold', status: 'held', pct: null, reason: `parse confidence ${candidate.parse_confidence} below ${MIN_CONFIDENCE}` };\n }\n if (!previous) {\n return { action: 'insert_new', status: 'auto_published', pct: null, reason: 'first observation' };\n }\n\n const oldP = previous.normalised_price_usd;\n const newP = candidate.normalised_price_usd;\n\n if (newP === 0 && oldP !== 0) {\n return { action: 'veto', status: 'pending_veto', pct: -1, reason: 'price dropped to zero' };\n }\n if (oldP === 0) {\n return { action: 'veto', status: 'pending_veto', pct: null, reason: 'price rose from zero' };\n }\n\n const pct = (newP - oldP) / oldP;\n const mag = Math.abs(pct);\n\n if (mag === 0) return { action: 'publish', status: 'auto_published', pct: 0, reason: 'unchanged' };\n if (mag < AUTO_LIMIT) return { action: 'publish', status: 'auto_published', pct, reason: 'small change' };\n if (mag <= FLAG_LIMIT) return { action: 'flag', status: 'auto_published', pct, reason: 'material change, flagged' };\n return { action: 'veto', status: 'pending_veto', pct, reason: 'change over 50 percent' };\n}\n\n/** Has a veto window expired? Silence means publish. */\nexport function vetoExpired(detectedAtIso, nowIso) {\n const detected = Date.parse(detectedAtIso);\n const now = Date.parse(nowIso);\n return now - detected >= VETO_HOURS * 3600 * 1000;\n}\n\n/** Is a stored value old enough that the site must show it as stale? */\nexport function isStale(capturedAtIso, nowIso) {\n return Date.parse(nowIso) - Date.parse(capturedAtIso) > STALE_HOURS * 3600 * 1000;\n}\n",[],[160,258],"57a98c99-4416-4ca2-a7ba-b5c3c160f0d2","normalise.js","390bdf12-a793-11f1-883f-1607ee4eb77e",["D",1788438618382],"// Unit and currency normalisation.\n//\n// This is the most important file in the project. If it is wrong, every number\n// on the site is wrong. It is pure: no database, no network, no clock.\n//\n// Canonical figures:\n// video -> USD per finished second, at the quoted resolution\n// image -> USD per finished image, at the quoted resolution\n//\n// Deliberate decision: we do NOT rescale a 1080p price into a 720p price.\n// No provider publishes a conversion factor, so any such number would be invented.\n// We store the resolution alongside the price and only ever compare like with like.\n\nexport const VIDEO_UNITS = ['per_second', 'per_minute', 'per_generation', 'per_clip'];\nexport const IMAGE_UNITS = ['per_image', 'per_generation', 'per_megapixel'];\n\nexport class NormaliseError extends Error {}\n\n/** Megapixels implied by a resolution label such as \"1024x1024\" or \"720p\". */\nexport function megapixels(resolution) {\n if (!resolution) throw new NormaliseError('resolution required for per_megapixel pricing');\n const wh = String(resolution).toLowerCase().match(/^(\\d+)\\s*[x×]\\s*(\\d+)$/);\n if (wh) return (Number(wh[1]) * Number(wh[2])) / 1000000;\n const p = String(resolution).toLowerCase().match(/^(\\d+)p$/);\n if (p) {\n const h = Number(p[1]);\n const w = Math.round((h * 16) / 9);\n return (w * h) / 1000000;\n }\n throw new NormaliseError('cannot derive megapixels from resolution \"' + resolution + '\"');\n}\n\n/**\n * @param {object} q quoted price\n * @param {'video'|'image'} q.modality\n * @param {string} q.native_unit\n * @param {number} q.native_price\n * @param {string} [q.native_currency] ISO code, default USD\n * @param {number} [q.fx_rate] USD per 1 unit of native_currency, default 1\n * @param {number} [q.clip_seconds] required for video priced per_generation / per_clip\n * @param {number} [q.outputs] images produced per generation, default 1\n * @param {string} [q.resolution] required for per_megapixel\n * @returns {number} USD per finished second (video) or per finished image (image)\n */\nexport function normalise(q) {\n const modality = q.modality;\n const unit = q.native_unit;\n const price = q.native_price;\n const currency = q.native_currency || 'USD';\n const fx = q.fx_rate === undefined ? 1 : q.fx_rate;\n const clip = q.clip_seconds;\n const outputs = q.outputs === undefined ? 1 : q.outputs;\n const resolution = q.resolution;\n\n if (modality !== 'video' && modality !== 'image') throw new NormaliseError('unknown modality \"' + modality + '\"');\n if (typeof price !== 'number' || !Number.isFinite(price) || price < 0) {\n throw new NormaliseError('native_price must be a non-negative number, got ' + price);\n }\n if (typeof fx !== 'number' || !Number.isFinite(fx) || fx <= 0) {\n throw new NormaliseError('fx_rate must be positive, got ' + fx);\n }\n if (currency === 'USD' && fx !== 1) {\n throw new NormaliseError('fx_rate must be 1 when native_currency is USD');\n }\n\n const usd = price * fx;\n let out;\n\n if (modality === 'video') {\n if (unit === 'per_second') {\n out = usd;\n } else if (unit === 'per_minute') {\n out = usd / 60;\n } else if (unit === 'per_generation' || unit === 'per_clip') {\n if (!clip || clip <= 0) throw new NormaliseError(unit + ' video pricing needs clip_seconds');\n out = usd / clip;\n } else {\n throw new NormaliseError('unit \"' + unit + '\" is not valid for video');\n }\n } else {\n if (unit === 'per_image') {\n out = usd;\n } else if (unit === 'per_generation') {\n if (!outputs || outputs <= 0) throw new NormaliseError('per_generation image pricing needs outputs');\n out = usd / outputs;\n } else if (unit === 'per_megapixel') {\n out = usd * megapixels(resolution);\n } else {\n throw new NormaliseError('unit \"' + unit + '\" is not valid for image');\n }\n }\n\n // Round to 8 decimals. Cheap image models are priced at 2e-4, so 2 decimals would flatten them to zero.\n return Math.round(out * 1e8) / 1e8;\n}\n\n/** Human display of a normalised figure, with the unit spelled out. */\nexport function formatUsd(value, modality) {\n const unit = modality === 'video' ? '/s' : '/img';\n if (!Number.isFinite(value)) return 'n/a';\n if (value === 0) return '$0' + unit;\n const dp = value < 0.001 ? 6 : value < 0.1 ? 4 : 3;\n let s = value.toFixed(dp);\n // Trim trailing zeros but always keep money-shaped, at least two decimals.\n while (s.endsWith('0') && s.split('.')[1].length > 2) s = s.slice(0, -1);\n return '$' + s + unit;\n}\n",[],[160,266],"9cf963e0-67c4-4057-addc-91b398750c76","ingest.js","6d918a5c-a793-11f1-9f21-1607ee4eb77e",89,["D",1788465991442],"// The collection pipeline: fetch -> parse -> normalise -> policy -> store.\n// Nothing here decides what is true. It records what a source said, when, and\n// how confident the parse was, and defers every risky call to policy.js.\n\nimport { normalise } from './normalise.js';\nimport { decide } from './policy.js';\nimport { htmlToText } from './collectors/html.js';\nimport * as db from './db.js';\n\nexport function slugify(name) {\n return String(name)\n .toLowerCase()\n .replace(/[^a-z0-9]+/g, '-')\n .replace(/^-+|-+$/g, '')\n .slice(0, 64);\n}\n\n/**\n * @param {object} client sqlite client\n * @param {Array} collectors\n * @param {object} ctx {now: ISO string, fetchImpl, fixtures?: {provider: text}}\n */\nexport async function runCollection(client, collectors, ctx) {\n const now = ctx.now || new Date().toISOString();\n const report = { started_at: now, providers: [], published: 0, flagged: [], vetoed: [], held: [], errors: [] };\n\n for (const c of collectors) {\n const started = now;\n let text = null;\n let error = null;\n\n try {\n if (ctx.fixtures && ctx.fixtures[c.provider] !== undefined) {\n text = ctx.fixtures[c.provider];\n } else {\n const res = await ctx.fetchImpl(c.source_url, {\n headers: { 'User-Agent': ctx.userAgent || 'InferenceIndexBot/1.0 (+https://example.com/about)' },\n });\n if (!res.ok) throw new Error('HTTP ' + res.status);\n const body = await res.text();\n text = /<[a-z][\\s\\S]*>/i.test(body) ? htmlToText(body) : body;\n }\n } catch (e) {\n error = String(e && e.message ? e.message : e);\n }\n\n let candidates = [];\n if (!error) {\n try {\n candidates = c.parse(text) || [];\n if (candidates.length === 0) error = 'parsed zero rows, treating as a parse failure';\n } catch (e) {\n error = 'parse threw: ' + String(e && e.message ? e.message : e);\n }\n }\n\n await db.run(\n client,\n `INSERT INTO collector_runs (provider, started_at, finished_at, ok, found, error) VALUES (?,?,?,?,?,?)`,\n [c.provider, started, now, error ? 0 : 1, candidates.length, error]\n );\n\n if (error) {\n report.providers.push({ provider: c.provider, ok: false, found: 0, error });\n report.errors.push({ provider: c.provider, error });\n continue;\n }\n\n for (const cand of candidates) {\n const outcome = await ingestCandidate(client, c, cand, now);\n if (outcome.action === 'flag') report.flagged.push(outcome);\n else if (outcome.action === 'veto') report.vetoed.push(outcome);\n else if (outcome.action === 'hold') report.held.push(outcome);\n if (outcome.stored) report.published++;\n }\n\n report.providers.push({ provider: c.provider, ok: true, found: candidates.length, error: null });\n }\n\n report.finished_at = now;\n return report;\n}\n\nexport async function ingestCandidate(client, collector, cand, now) {\n const slug = cand.slug || slugify(cand.display_name);\n const model = await db.upsertModel(\n client,\n {\n slug,\n display_name: cand.display_name,\n vendor: cand.vendor || collector.vendor_fallback || collector.provider,\n modality: cand.modality,\n status: cand.status || 'active',\n sunset_date: cand.sunset_date,\n notes: cand.notes,\n },\n now\n );\n\n let normalised;\n try {\n normalised = normalise({\n modality: cand.modality,\n native_unit: cand.native_unit,\n native_price: cand.native_price,\n native_currency: cand.native_currency,\n fx_rate: cand.fx_rate,\n clip_seconds: cand.clip_seconds,\n outputs: cand.outputs,\n resolution: cand.resolution,\n });\n } catch (e) {\n normalised = NaN;\n }\n\n const tier = cand.tier || 'standard';\n const resolution = cand.resolution || 'unspecified';\n const previous = await db.latestFor(client, model.id, collector.provider, tier, resolution);\n const verdict = decide(previous, {\n normalised_price_usd: normalised,\n parse_confidence: cand.parse_confidence === undefined ? 1 : cand.parse_confidence,\n });\n\n const sourceUrl = cand.source_url || collector.source_url;\n const base = {\n model_id: model.id,\n provider: collector.provider,\n endpoint_url: cand.endpoint_url,\n tier,\n resolution,\n native_unit: cand.native_unit,\n native_price: cand.native_price,\n native_currency: cand.native_currency || 'USD',\n fx_rate: cand.fx_rate === undefined ? 1 : cand.fx_rate,\n normalised_price_usd: normalised,\n clip_seconds: cand.clip_seconds,\n outputs: cand.outputs,\n source_url: sourceUrl,\n captured_at: now,\n parse_confidence: cand.parse_confidence === undefined ? 1 : cand.parse_confidence,\n is_promotional: cand.is_promotional,\n promo_ends_at: cand.promo_ends_at,\n // Native-unit list price this rate reverts to when the promo ends, where the\n // source states it. Same unit as native_price, so the ratio is the rise.\n reverts_to_price: cand.reverts_to_price,\n };\n\n const result = { model: model.slug, provider: collector.provider, action: verdict.action, reason: verdict.reason, pct: verdict.pct, stored: false };\n\n if (verdict.action === 'hold') {\n await db.insertChange(client, {\n model_id: model.id, provider: collector.provider, tier, resolution,\n field_changed: 'normalised_price_usd',\n old_value: previous ? previous.normalised_price_usd : null,\n new_value: Number.isFinite(normalised) ? normalised : null,\n pct_change: verdict.pct, detected_at: now, status: 'held',\n source_url: sourceUrl, note: verdict.reason,\n });\n return result; // last known good value stays current, and the UI marks it stale\n }\n\n if (verdict.action === 'veto') {\n await db.insertChange(client, {\n model_id: model.id, provider: collector.provider, tier, resolution,\n field_changed: 'normalised_price_usd',\n old_value: previous ? previous.normalised_price_usd : null,\n new_value: Number.isFinite(normalised) ? normalised : null,\n pct_change: verdict.pct, detected_at: now, status: 'pending_veto',\n source_url: sourceUrl, note: verdict.reason,\n });\n return result;\n }\n\n // insert_new, publish, flag all store the point\n await db.insertPricePoint(client, base);\n result.stored = true;\n\n const changed = !previous || previous.normalised_price_usd !== normalised;\n if (changed) {\n await db.insertChange(client, {\n model_id: model.id, provider: collector.provider, tier, resolution,\n field_changed: previous ? 'normalised_price_usd' : 'first_seen',\n old_value: previous ? previous.normalised_price_usd : null,\n new_value: normalised, pct_change: verdict.pct,\n detected_at: now, published_at: now, status: 'auto_published',\n source_url: sourceUrl, note: verdict.reason,\n });\n }\n return result;\n}\n\n/** Release veto windows whose 6 hours have elapsed. Silence means publish. */\nexport async function releaseVetoes(client, now) {\n const { vetoExpired } = await import('./policy.js');\n const pending = await db.all(client, \"SELECT * FROM changes WHERE status='pending_veto'\");\n let released = 0;\n for (const ch of pending) {\n if (!vetoExpired(ch.detected_at, now)) continue;\n if (ch.new_value === null) continue;\n const model = await db.one(client, 'SELECT * FROM models WHERE id=?', [ch.model_id]);\n const prev = await db.latestFor(client, ch.model_id, ch.provider, ch.tier, ch.resolution);\n await db.insertPricePoint(client, {\n model_id: ch.model_id, provider: ch.provider, tier: ch.tier, resolution: ch.resolution,\n native_unit: prev ? prev.native_unit : 'per_second',\n native_price: Number(ch.new_value),\n native_currency: 'USD', fx_rate: 1,\n normalised_price_usd: Number(ch.new_value),\n source_url: ch.source_url, captured_at: now, parse_confidence: 1,\n });\n await db.run(client, \"UPDATE changes SET status='auto_published', published_at=? WHERE id=?\", [now, ch.id]);\n released++;\n }\n return released;\n}\n",[],[160,273],"6a9b1062-54aa-4e2f-9e90-1078cc9df265","db.js","59c2bfe6-a793-11f1-8dc9-1607ee4eb77e",88,["D",1788465982767],"// Thin data layer over a libsql-style client: client.execute({sql, args}) -> {rows}\n// Works unchanged against Val Town std/sqlite and the local node:sqlite shim.\n\nexport async function initSchema(db, schemaSql, migrations = []) {\n for (const stmt of schemaSql.split(';')) {\n const s = stmt.trim();\n if (s) await db.execute(s);\n }\n // Additive migrations. Only an already-applied column is tolerated; any other\n // error is a real schema problem and must not be swallowed.\n for (const m of migrations) {\n try {\n await db.execute(m);\n } catch (e) {\n const msg = String(e && e.message ? e.message : e);\n if (!/duplicate column name/i.test(msg)) throw e;\n }\n }\n}\n\nexport async function all(db, sql, args = []) {\n const r = await db.execute({ sql, args });\n return r.rows || [];\n}\n\nexport async function one(db, sql, args = []) {\n const rows = await all(db, sql, args);\n return rows.length ? rows[0] : null;\n}\n\nexport async function run(db, sql, args = []) {\n return db.execute({ sql, args });\n}\n\nexport async function upsertModel(db, m, nowIso) {\n const existing = await one(db, 'SELECT * FROM models WHERE slug = ?', [m.slug]);\n if (existing) return existing;\n await run(\n db,\n `INSERT INTO models (slug, display_name, vendor, modality, status, first_seen_at, sunset_date, notes)\n VALUES (?,?,?,?,?,?,?,?)`,\n [m.slug, m.display_name, m.vendor, m.modality, m.status || 'active', nowIso, m.sunset_date || null, m.notes || null]\n );\n return one(db, 'SELECT * FROM models WHERE slug = ?', [m.slug]);\n}\n\n/** Most recent price point for every (model, provider, tier, resolution) combination. */\nexport async function currentPrices(db) {\n return all(\n db,\n `SELECT p.*, m.slug, m.display_name, m.vendor, m.modality, m.status, m.sunset_date\n FROM price_points p\n JOIN models m ON m.id = p.model_id\n WHERE p.id IN (\n SELECT id FROM (\n SELECT id, ROW_NUMBER() OVER (\n PARTITION BY model_id, provider, tier, resolution\n ORDER BY captured_at DESC, id DESC\n ) AS rn\n FROM price_points\n ) WHERE rn = 1\n )\n ORDER BY m.modality, p.normalised_price_usd ASC`\n );\n}\n\n/**\n * Promotional rates that have not expired yet, soonest first.\n *\n * This is the home page's lead. On day one every 30-day delta is empty because there\n * is no history yet, but a promo end date printed by the provider is real on day one.\n * Only the CURRENT price point per key counts, so a promo that has since been\n * superseded does not resurface.\n */\nexport async function upcomingPriceEvents(db, todayIso, limit = 12) {\n return all(\n db,\n `SELECT p.*, m.slug, m.display_name, m.vendor, m.modality\n FROM price_points p\n JOIN models m ON m.id = p.model_id\n WHERE p.promo_ends_at IS NOT NULL\n AND p.promo_ends_at >= ?\n AND p.id IN (\n SELECT id FROM (\n SELECT id, ROW_NUMBER() OVER (\n PARTITION BY model_id, provider, tier, resolution\n ORDER BY captured_at DESC, id DESC\n ) AS rn\n FROM price_points\n ) WHERE rn = 1\n )\n ORDER BY p.promo_ends_at ASC, p.normalised_price_usd ASC\n LIMIT ?`,\n [todayIso, limit]\n );\n}\n\nexport async function latestFor(db, modelId, provider, tier, resolution) {\n return one(\n db,\n `SELECT * FROM price_points\n WHERE model_id=? AND provider=? AND tier=? AND resolution=?\n ORDER BY captured_at DESC, id DESC LIMIT 1`,\n [modelId, provider, tier, resolution]\n );\n}\n\n/** Price as it stood on or before a given date, used for the delta column. */\nexport async function priceAsOf(db, modelId, provider, tier, resolution, isoDate) {\n return one(\n db,\n `SELECT * FROM price_points\n WHERE model_id=? AND provider=? AND tier=? AND resolution=? AND captured_at <= ?\n ORDER BY captured_at DESC, id DESC LIMIT 1`,\n [modelId, provider, tier, resolution, isoDate]\n );\n}\n\nexport async function history(db, modelId) {\n return all(\n db,\n `SELECT * FROM price_points WHERE model_id=? ORDER BY captured_at ASC, id ASC`,\n [modelId]\n );\n}\n\nexport async function insertPricePoint(db, p) {\n await run(\n db,\n `INSERT INTO price_points\n (model_id, provider, endpoint_url, tier, resolution, native_unit, native_price,\n native_currency, fx_rate, normalised_price_usd, clip_seconds, outputs,\n source_url, captured_at, parse_confidence, is_promotional, promo_ends_at,\n reverts_to_price)\n VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)`,\n [\n p.model_id, p.provider, p.endpoint_url || null, p.tier || 'standard',\n p.resolution || 'unspecified', p.native_unit, p.native_price,\n p.native_currency || 'USD', p.fx_rate === undefined ? 1 : p.fx_rate,\n p.normalised_price_usd, p.clip_seconds || null, p.outputs || 1,\n p.source_url, p.captured_at, p.parse_confidence === undefined ? 1 : p.parse_confidence,\n p.is_promotional ? 1 : 0, p.promo_ends_at || null,\n Number.isFinite(p.reverts_to_price) ? p.reverts_to_price : null,\n ]\n );\n}\n\nexport async function insertChange(db, c) {\n await run(\n db,\n `INSERT INTO changes\n (model_id, provider, tier, resolution, field_changed, old_value, new_value,\n pct_change, detected_at, published_at, status, source_url, note)\n VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?)`,\n [\n c.model_id, c.provider, c.tier || 'standard', c.resolution || 'unspecified',\n c.field_changed,\n c.old_value === undefined || c.old_value === null ? null : String(c.old_value),\n c.new_value === undefined || c.new_value === null ? null : String(c.new_value),\n c.pct_change === undefined ? null : c.pct_change,\n c.detected_at, c.published_at || null, c.status, c.source_url, c.note || null,\n ]\n );\n}\n\nexport async function recentChanges(db, limit = 50) {\n return all(\n db,\n `SELECT c.*, m.slug, m.display_name, m.modality\n FROM changes c JOIN models m ON m.id = c.model_id\n WHERE c.status = 'auto_published'\n ORDER BY c.detected_at DESC, c.id DESC LIMIT ?`,\n [limit]\n );\n}\n\nexport async function pendingChanges(db) {\n return all(\n db,\n `SELECT c.*, m.slug, m.display_name FROM changes c JOIN models m ON m.id = c.model_id\n WHERE c.status IN ('pending_veto','held') ORDER BY c.detected_at DESC`\n );\n}\n\nexport async function recordClick(db, provider, modelSlug, nowIso, referer) {\n await run(\n db,\n `INSERT INTO outbound_clicks (provider, model_slug, clicked_at, referer) VALUES (?,?,?,?)`,\n [provider, modelSlug || null, nowIso, referer || null]\n );\n}\n\nexport async function clickCounts(db, sinceIso) {\n return all(\n db,\n `SELECT provider, COUNT(*) AS clicks FROM outbound_clicks\n WHERE clicked_at >= ? GROUP BY provider ORDER BY clicks DESC`,\n [sinceIso]\n );\n}\n\nexport async function addSubscriber(db, email, nowIso, token) {\n const existing = await one(db, 'SELECT * FROM subscribers WHERE email = ?', [email]);\n if (existing) return { created: false, subscriber: existing };\n await run(\n db,\n `INSERT INTO subscribers (email, created_at, confirm_token) VALUES (?,?,?)`,\n [email, nowIso, token]\n );\n const subscriber = await one(db, 'SELECT * FROM subscribers WHERE email = ?', [email]);\n return { created: true, subscriber };\n}\n\nexport async function stats(db) {\n const models = await one(db, 'SELECT COUNT(*) AS n FROM models');\n const points = await one(db, 'SELECT COUNT(*) AS n FROM price_points');\n const first = await one(db, 'SELECT MIN(captured_at) AS d FROM price_points');\n const subs = await one(db, 'SELECT COUNT(*) AS n FROM subscribers');\n const chg = await one(db, \"SELECT COUNT(*) AS n FROM changes WHERE status='auto_published'\");\n // A first sighting is not a price change. Counting them together would let the home\n // page claim \"200 price changes recorded\" on day one when nothing has moved yet,\n // which is the kind of number that destroys the site's only asset.\n const moved = await one(\n db,\n \"SELECT COUNT(*) AS n FROM changes WHERE status='auto_published' AND old_value IS NOT NULL\"\n );\n return {\n models: models ? models.n : 0,\n price_points: points ? points.n : 0,\n first_capture: first ? first.d : null,\n subscribers: subs ? subs.n : 0,\n changes: chg ? chg.n : 0,\n price_moves: moved ? moved.n : 0,\n };\n}\n",[],[160,281],"18ae63c7-3b0f-4b66-9da5-b4be9c1515c0","wavespeed.js","41f15b98-a798-11f1-8422-1607ee4eb77e","04134d4d-98b2-4f95-a0a7-743e287193a2",25,["D",1788440780777],"// WaveSpeed pricing collector.\n// Source shape (verified 3 Sep 2026): a \"Model / Unit / Price / Output per $1\" table\n// rendered server side, one row per line:\n// \"Nano Banana 2 image $0.07/image 14 images\"\n// \"Kling 3.0 Std second $0.084/second 11.9 seconds\"\n//\n// The same table also lists text models priced per million tokens (\"$5/M\"). Those do\n// not match the pattern and are dropped, which is deliberate: doc 03 section 7 excludes\n// text token pricing.\nimport { lines } from './html.js';\n\n// name, unit column, price, price unit. Non-greedy name so multi-word names survive.\nconst ROW = /^(.+?)\\s+(image|second)\\s+\\$\\s?([0-9]+(?:\\.[0-9]+)?)\\s*\\/\\s*(image|second)\\b/i;\n\nexport function parseWavespeedPricing(text) {\n const out = [];\n for (const l of lines(text)) {\n if (!l || /^Model\\s+Unit\\s+Price/i.test(l)) continue;\n const m = l.match(ROW);\n if (!m) continue;\n\n // The unit column and the price unit must agree. If they ever disagree the row is\n // ambiguous, so it is dropped rather than guessed at.\n if (m[2].toLowerCase() !== m[4].toLowerCase()) continue;\n\n const isImage = m[4].toLowerCase() === 'image';\n out.push({\n display_name: m[1].trim(),\n vendor: 'wavespeed',\n modality: isImage ? 'image' : 'video',\n native_unit: isImage ? 'per_image' : 'per_second',\n native_price: Number(m[3]),\n native_currency: 'USD',\n fx_rate: 1,\n // WaveSpeed does not print a resolution on this table. Saying \"unspecified\" is\n // honest; inventing 720p would not be.\n resolution: 'unspecified',\n tier: 'standard',\n outputs: 1,\n parse_confidence: 1,\n });\n }\n return out;\n}\n\nexport const wavespeedCollector = {\n provider: 'wavespeed',\n vendor_fallback: 'wavespeed',\n source_url: 'https://wavespeed.ai/pricing',\n parse: parseWavespeedPricing,\n needs_live_verification: false,\n};\n",[],[160,297,289],"collectors","bc5065b2-e41a-4b9c-8b86-9793a5dd4041","runway.js","39428846-a798-11f1-bc07-1607ee4eb77e",29,["D",1788440833323],"// Runway Dev pricing collector.\n// Source shape (verified 3 Sep 2026): docs.dev.runwayml.com/guides/pricing/ prices\n// everything in CREDITS, and states the credit value in prose: \"$0.01 per credit\".\n//\n// The credit value is READ FROM THE PAGE, never hardcoded. If Runway changes it and\n// the sentence moves, this throws, the run is recorded as a parse failure, and the\n// site keeps its last verified numbers. That is the correct outcome: a stale price\n// with a visible date beats a silently wrong one.\n//\n// Deliberately skipped, because the page states a RANGE rather than a rate:\n// grok_imagine_image_2 (\"4-8 credits per image, by quality and resolution\")\n// gpt_image_2 (\"1-41 credits per image, by quality and resolution\")\n// Their quality x resolution matrices are further down the page and need the request\n// parameters to resolve. Publishing the midpoint of a range would be inventing a number.\n//\n// Also skipped: upscale, SDR-to-HDR, audio, real-time and recipe sections, the\n// professional/HDR per-second surcharges, and anything billed per second of INPUT.\nimport { lines } from './html.js';\n\n/** \"$0.01 per credit\" -> 0.01 */\nexport function parseCreditValue(ls) {\n for (const l of ls) {\n const m = l.match(/\\$\\s?([0-9]+(?:\\.[0-9]+)?)\\s+per\\s+credit/i);\n if (m) return Number(m[1]);\n }\n throw new Error('credit value sentence not found on the page');\n}\n\n/** A parenthesised qualifier is a resolution if it looks like one, otherwise a tier. */\nfunction classifyQualifier(q) {\n if (!q) return { resolution: 'unspecified', tier: 'standard' };\n const t = q.trim();\n if (/^\\d+\\s*[pPkK](\\s*\\/\\s*\\d+\\s*[pPkK])?$/.test(t.replace(/\\s+/g, ''))) {\n return { resolution: t, tier: 'standard' };\n }\n return { resolution: 'unspecified', tier: t };\n}\n\n/**\n * Lines between a heading and the next heading.\n *\n * The page prints its own table of contents first, so every heading string appears\n * twice. The real heading is the one immediately followed by a \"Section titled ...\"\n * line, which is how the doc generator marks it. Matching the first occurrence would\n * silently return an empty table-of-contents slice and publish nothing, which is how\n * the image section was lost on the first attempt.\n */\nfunction section(ls, startRe, endRes) {\n let start = ls.findIndex((l, i) => startRe.test(l) && /^Section titled/.test(ls[i + 1] || ''));\n if (start < 0) start = ls.findIndex((l) => startRe.test(l));\n if (start < 0) return [];\n const rest = ls.slice(start + 1);\n let end = rest.length;\n for (const re of endRes) {\n const i = rest.findIndex((l) => re.test(l));\n if (i >= 0 && i < end) end = i;\n }\n return rest.slice(0, end);\n}\n\nconst VIDEO_LINE = /^([A-Za-z0-9_.\\-]+)\\s*(?:\$([^)]+)\$)?\\s+([0-9]+(?:\\.[0-9]+)?)\\s+credits?\\s+per\\s+second\\b(.*)$/;\nconst IMAGE_RATE = /([0-9]+(?:\\.[0-9]+)?)\\s+credits?\\s+per\\s+((?:[\\w.]+(?:\\s+or\\s+[\\w.]+)?)\\s+)?image/gi;\nconst RANGE = /[0-9]\\s*[–—-]\\s*[0-9]+\\s+credits?/;\n\nexport function parseRunwayPricing(text) {\n const ls = lines(text).filter((l) => l !== '');\n const creditUsd = parseCreditValue(ls);\n const out = [];\n\n // ---- Video generation\n const video = section(\n ls,\n /^Video Generation Pricing$/i,\n [/^Professional and HDR output formats$/i, /^Image Generation Pricing$/i]\n );\n for (const l of video) {\n const m = l.match(VIDEO_LINE);\n if (!m) continue;\n const trailing = m[4] || '';\n // \"11 credits per second of input video\" is a charge on the input, not the output.\n if (/^\\s*of\\s+input/i.test(trailing)) continue;\n const { resolution, tier } = classifyQualifier(m[2]);\n out.push({\n display_name: m[1],\n vendor: 'runway',\n modality: 'video',\n native_unit: 'per_second',\n native_price: Number((Number(m[3]) * creditUsd).toFixed(8)),\n native_currency: 'USD',\n fx_rate: 1,\n resolution,\n tier,\n outputs: 1,\n parse_confidence: 1,\n });\n }\n\n // ---- Image generation\n const image = section(ls, /^Image Generation Pricing$/i, [/^Image Upscale Pricing$/i]);\n for (const l of image) {\n if (RANGE.test(l)) continue; // a range is not a rate\n const nameMatch = l.match(/^([A-Za-z0-9_.\\-]+)\\s/);\n if (!nameMatch) continue;\n IMAGE_RATE.lastIndex = 0;\n let m;\n while ((m = IMAGE_RATE.exec(l)) !== null) {\n const res = (m[2] || '').trim();\n out.push({\n display_name: nameMatch[1],\n vendor: 'runway',\n modality: 'image',\n native_unit: 'per_image',\n native_price: Number((Number(m[1]) * creditUsd).toFixed(8)),\n native_currency: 'USD',\n fx_rate: 1,\n resolution: res || 'any',\n tier: 'standard',\n outputs: 1,\n parse_confidence: 1,\n });\n }\n }\n\n return out;\n}\n\nexport const runwayCollector = {\n provider: 'runway',\n vendor_fallback: 'runway',\n source_url: 'https://docs.dev.runwayml.com/guides/pricing/',\n parse: parseRunwayPricing,\n needs_live_verification: false,\n};\n",[],[160,297,299],"26c53f44-416a-4278-b219-ca6e36f8e332","replicate.js","422e4bca-a793-11f1-8b80-1607ee4eb77e",["D",1788438633740],"// Replicate pricing page collector.\n// Source shape (verified 2 Sep 2026): \"owner/model-name\" on its own line, a\n// description, then one or more \"$X / unit\" lines.\nimport { lines } from './html.js';\n\nconst MODEL_LINE = /^[a-z0-9][a-z0-9-]*\\/[a-z0-9][a-z0-9._-]*$/i;\nconst PRICE_LINE = /^\\$([0-9]+(?:\\.[0-9]+)?)\\s*\\/\\s*(.+)$/;\n\nfunction interpretUnit(priceText, amount) {\n const t = priceText.toLowerCase().trim();\n if (/second of output video/.test(t)) {\n return { modality: 'video', native_unit: 'per_second', native_price: amount, resolution: 'unspecified' };\n }\n if (/thousand output images?/.test(t)) {\n return { modality: 'image', native_unit: 'per_image', native_price: amount / 1000, resolution: 'unspecified' };\n }\n if (/output images?/.test(t)) {\n return { modality: 'image', native_unit: 'per_image', native_price: amount, resolution: 'unspecified' };\n }\n return null; // tokens and anything else: out of scope by design\n}\n\nexport function parseReplicatePricing(text) {\n const ls = lines(text);\n const out = [];\n for (let i = 0; i < ls.length; i++) {\n if (!MODEL_LINE.test(ls[i])) continue;\n const slugPath = ls[i];\n for (let j = i + 1; j < Math.min(i + 12, ls.length); j++) {\n if (MODEL_LINE.test(ls[j])) break;\n const m = ls[j].match(PRICE_LINE);\n if (!m) continue;\n const spec = interpretUnit(m[2], Number(m[1]));\n if (!spec) continue;\n out.push({\n display_name: slugPath,\n vendor: slugPath.split('/')[0],\n modality: spec.modality,\n native_unit: spec.native_unit,\n native_price: spec.native_price,\n native_currency: 'USD',\n fx_rate: 1,\n resolution: /720p/.test(slugPath) ? '720p' : /480p/.test(slugPath) ? '480p' : spec.resolution,\n outputs: 1,\n parse_confidence: 1,\n });\n }\n }\n return out;\n}\n\nexport const replicateCollector = {\n provider: 'replicate',\n vendor_fallback: 'replicate',\n source_url: 'https://replicate.com/pricing',\n parse: parseReplicatePricing,\n needs_live_verification: false,\n};\n",[],[160,297,307],"9e946bc5-4ae5-4fab-a7e8-e9150752702d","novita.js","fef709fa-a7ba-11f1-9a08-1607ee4eb77e",69,["D",1788455700825],"// Novita pricing collector.\n//\n// Source shape (verified 3 Sep 2026): novita.ai/pricing renders each model as a small\n// block of labelled lines, server side:\n//\n// Kling v3.0 Pro Image-to-Video\n// ModeNo Audio\n// Duration-\n// Resolution\n// Pricing$0.112 /s\n//\n// Three units appear: \"/s\", \"/image\" and \"/video\". The \"/video\" rows are the valuable\n// ones, because Novita prints the Duration alongside, so a flat per-clip price converts\n// to a per-second price by division rather than by assumption:\n//\n// wan-2.5-i2v Duration10s Resolution720P Pricing$1.00 /video -> $0.10 per second\n//\n// A \"/video\" row with no duration cannot be converted and is skipped, not guessed.\n//\n// Novita alternates between the human name and the API slug across rows of the same\n// model (\"Kling v3.0 Pro Image-to-Video\" then \"kling-v3.0-pro-i2v\"). The slug rows are\n// folded under the preceding human name so audio/no-audio and per-resolution variants\n// group as tiers of one model instead of appearing as separate products.\nimport { lines } from './html.js';\n\nconst PRICE = /^Pricing\\$\\s?([0-9]*\\.?[0-9]+)\\s*\\/\\s*(image|video|s)$/i;\nconst LABEL = /^(Mode|Duration|Resolution|Width&Height)/i;\n// Lowercase, hyphenated, no spaces: novita's API slug rather than a display name.\nconst API_SLUG = /^[a-z0-9][a-z0-9._-]*$/;\n\nfunction labelValue(line, label) {\n if (!line) return null;\n const re = new RegExp('^' + label, 'i');\n if (!re.test(line)) return null;\n const v = line.replace(re, '').trim();\n return v && v !== '-' ? v : null;\n}\n\nexport function parseNovitaPricing(text) {\n const ls = lines(text).filter(Boolean);\n const out = [];\n let lastDisplayName = null;\n\n for (let i = 0; i < ls.length; i++) {\n const m = ls[i].match(PRICE);\n if (!m) continue;\n\n // Walk back over the labelled lines to find the block's name.\n let j = i - 1;\n const labels = [];\n while (j >= 0 && LABEL.test(ls[j])) { labels.unshift(ls[j]); j--; }\n if (j < 0 || labels.length === 0) continue;\n const rawName = ls[j];\n // A heading or a sentence is not a model name.\n if (rawName.length > 80 || /^(Image|Video|Audio|Pricing)$/i.test(rawName)) continue;\n\n const isSlug = API_SLUG.test(rawName) && rawName.includes('-');\n const displayName = isSlug ? (lastDisplayName || rawName) : rawName;\n if (!isSlug) lastDisplayName = rawName;\n\n const mode = labels.map((l) => labelValue(l, 'Mode')).find(Boolean);\n const duration = labels.map((l) => labelValue(l, 'Duration')).find(Boolean);\n const resolution = labels.map((l) => labelValue(l, 'Resolution')).find(Boolean);\n\n const price = Number(m[1]);\n const unit = m[2].toLowerCase();\n const base = {\n display_name: displayName,\n slug: (isSlug ? rawName : displayName).toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-+|-+$/g, ''),\n vendor: 'novita',\n native_currency: 'USD',\n fx_rate: 1,\n outputs: 1,\n parse_confidence: 1,\n resolution: resolution || 'unspecified',\n tier: mode ? mode.toLowerCase() : 'standard',\n };\n\n if (unit === 'image') {\n out.push({ ...base, modality: 'image', native_unit: 'per_image', native_price: price, resolution: 'any' });\n } else if (unit === 's') {\n out.push({ ...base, modality: 'video', native_unit: 'per_second', native_price: price });\n } else {\n // \"/video\" is a whole-clip price. Without a printed duration it cannot be turned\n // into a per-second figure, and inventing a clip length would be inventing a price.\n const secs = duration && duration.match(/^([0-9]*\\.?[0-9]+)\\s*s$/i);\n if (!secs) continue;\n out.push({\n ...base,\n modality: 'video',\n native_unit: 'per_generation',\n native_price: price,\n clip_seconds: Number(secs[1]),\n });\n }\n }\n\n // The same model, tier and resolution can appear twice on the page (a card and a\n // table row). Keep the first of each.\n const seen = new Set();\n return out.filter((r) => {\n const k = [r.slug, r.native_unit, r.resolution, r.tier, r.clip_seconds || ''].join('|');\n if (seen.has(k)) return false;\n seen.add(k);\n return true;\n });\n}\n\nexport const novitaCollector = {\n provider: 'novita',\n vendor_fallback: 'novita',\n source_url: 'https://novita.ai/pricing',\n parse: parseNovitaPricing,\n needs_live_verification: false,\n};\n",[],[160,297,314],"516f2ceb-86df-4a1e-8eee-9a0e5090441f","html.js","2b15ca08-a793-11f1-84bf-1607ee4eb77e",4,["D",1788438594966],"// Minimal HTML to text. The collectors parse visible text, not markup, because\n// pricing tables are re-styled far more often than they are reworded.\nconst ENTITIES = { amp: '&', lt: '<', gt: '>', quot: '\"', apos: \"'\", nbsp: ' ', '#39': \"'\", '#x27': \"'\" };\n\nexport function decodeEntities(s) {\n return s.replace(/&(#x?[0-9a-fA-F]+|[a-zA-Z]+);/g, (m, code) => {\n if (ENTITIES[code] !== undefined) return ENTITIES[code];\n if (code[0] === '#') {\n const n = code[1] === 'x' || code[1] === 'X' ? parseInt(code.slice(2), 16) : parseInt(code.slice(1), 10);\n return Number.isFinite(n) ? String.fromCodePoint(n) : m;\n }\n return m;\n });\n}\n\nexport function htmlToText(html) {\n let s = String(html);\n s = s.replace(//gi, ' ');\n s = s.replace(//gi, ' ');\n s = s.replace(//gi, ' ');\n s = s.replace(/<\\/(td|th)>/gi, '\\t');\n s = s.replace(/<\\/(tr|p|div|li|h[1-6]|section)>/gi, '\\n');\n s = s.replace(//gi, '\\n');\n s = s.replace(/<[^>]+>/g, '');\n s = decodeEntities(s);\n s = s.replace(/\\r/g, '');\n s = s.replace(/[ ]+/g, ' ');\n s = s.replace(/\\n{3,}/g, '\\n\\n');\n return s.trim();\n}\n\n/** Split text into logical lines with tabs and padding removed. */\nexport function lines(text) {\n return String(text).split('\\n').map((l) => l.replace(/\\t/g, ' ').trim());\n}\n",[],[160,297,322],"48318e0c-8f9f-4f96-a2ac-141b6fe4b3f6","fal.js","3d8044f2-a793-11f1-af1c-1607ee4eb77e",6,["D",1788438625882],"// fal.ai pricing page collector.\n// Source shape (verified 2 Sep 2026): a \"Model / Unit / Price\" table, split into\n// a Video Models section and an Image Models section.\nimport { lines } from './html.js';\n\nconst UNITS = {\n second: { unit: 'per_second', modality: 'video' },\n video: { unit: 'per_generation', modality: 'video', clip_seconds: 5 },\n image: { unit: 'per_image', modality: 'image' },\n megapixel: { unit: 'per_megapixel', modality: 'image', resolution: '1000x1000' },\n};\n\nconst NOISE = /^(model|unit|price|output per|start building|gpu|vram|list price|as low as|\\*|resources|products)/i;\n\nexport function parseFalPricing(text) {\n const ls = lines(text);\n const out = [];\n for (let i = 0; i < ls.length; i++) {\n const name = ls[i];\n if (!name || NOISE.test(name) || name.includes('$')) continue;\n\n // next two non-empty lines must be a unit keyword then a price\n let j = i + 1;\n while (j < ls.length && ls[j] === '') j++;\n const unitLine = (ls[j] || '').toLowerCase();\n const spec = UNITS[unitLine];\n if (!spec) continue;\n\n let k = j + 1;\n while (k < ls.length && ls[k] === '') k++;\n const m = (ls[k] || '').match(/\\$([0-9]+(?:\\.[0-9]+)?)/);\n if (!m) continue;\n\n out.push({\n display_name: name,\n modality: spec.modality,\n native_unit: spec.unit,\n native_price: Number(m[1]),\n native_currency: 'USD',\n fx_rate: 1,\n clip_seconds: spec.clip_seconds,\n resolution: spec.resolution || (spec.modality === 'video' ? '720p' : '1000x1000'),\n outputs: 1,\n parse_confidence: 1,\n });\n i = k;\n }\n return out;\n}\n\nexport const falCollector = {\n provider: 'fal',\n vendor_fallback: 'fal',\n source_url: 'https://fal.ai/pricing',\n parse: parseFalPricing,\n // fal renders this page client side. If a plain fetch returns a shell, the run\n // is recorded as a parse failure and nothing is published. See README section 6.\n needs_live_verification: true,\n};\n",[],[160,297,330],"1553dfd3-9fda-48bc-a202-bbca483e5da2","fal-api.js","3d42b70e-a7b6-11f1-98e3-1607ee4eb77e",93,["D",1788466106887],"// fal collector, v2, against the public JSON API.\n//\n// Why this exists: on 3 Sep 2026 fal removed per-model pricing from fal.ai/pricing\n// (that page is GPU $/hr now). See doc 17. The rates moved into\n// https://fal.ai/api/models, an unauthenticated JSON API covering ~1500 models.\n//\n// The catch: there is no numeric price field. The rate lives in `pricingInfoOverride`\n// as English prose, in at least a dozen different shapes. This parser is therefore\n// deliberately paranoid, and built as ORDERED, EXCLUSIVE strategies: the first shape\n// that matches wins and the looser patterns never run. That ordering is not cosmetic.\n// A first draft with a loose \"$X per second\" pattern read Veo 3.1 as $0.40/s when its\n// base rate is $0.20/s without audio, because it matched the dearer tier. Publishing\n// nothing beats publishing the wrong tier.\n//\n// Rows land at parse_confidence 0.9, below the 1.0 of a table parse, so the model page\n// marks them as prose-derived. Above MIN_CONFIDENCE 0.8, so they still publish.\n//\n// The prize: pricingInfoOverride states the promotional rate, the date the promo ends\n// AND the list price it reverts to. All three are captured. The reversion price is\n// what turns \"expires in 4 days\" into \"rises 300% in 4 days\", which is the headline\n// no live comparison table can print.\n\nconst API = 'https://fal.ai/api/models';\n\n// Keyed on the first three letters, so \"September\", \"Sept\" and \"Sep\" all land.\nconst MONTHS = {\n jan: 1, feb: 2, mar: 3, apr: 4, may: 5, jun: 6,\n jul: 7, aug: 8, sep: 9, oct: 10, nov: 11, dec: 12,\n};\n\n/**\n * Output modality from fal's own category, never from the prose.\n *\n * video-to-video is EXCLUDED on purpose. On fal that category is a junk drawer of\n * things that are not generation: foley and sound-effect tools (Controlfoley, Mirelo\n * SFX), music scoring (Sonilo), lipsync (LatentSync) and background removal (Bria).\n * They are priced per second, so a naive parse ranked them as the cheapest \"video\"\n * models on the site, which would have put audio utilities at the top of the table.\n */\nexport function modalityFromCategory(category) {\n if (!category) return null;\n const c = String(category).toLowerCase();\n if (c === 'video-to-video' || c.endsWith('-to-audio') || c.endsWith('-to-text')) return null;\n const output = c.includes('-to-') ? c.split('-to-').pop() : c;\n if (output.includes('video')) return 'video';\n if (output.includes('image')) return 'image';\n return null; // audio, text, 3d, training: out of scope\n}\n\n/**\n * Strip fal's markdown bold so the regexes see plain text, and repair one\n * unambiguous typo in fal's own data.\n *\n * On 3 Sep 2026 `minimax/h3-max-turbo/text-to-video` reads \"$0,00625 per second\"\n * where its own sibling `image-to-video` reads \"$0.00625\". A comma is only ever a\n * thousands separator when exactly three digits follow it, so a comma followed by\n * one, two, four or more digits cannot be one and is a decimal point. That test is\n * what makes this a repair rather than a guess: \"$1,500\" is left untouched. Without\n * it the 480p row of that model is silently dropped and its countdown is a\n * resolution short.\n */\nexport function plain(s) {\n return String(s)\n .replace(/\\*\\*/g, '')\n .replace(/\\s+/g, ' ')\n .replace(/\\$\\s?(\\d+),(\\d{1,2}|\\d{4,})(?!\\d)/g, function (_m, a, b) {\n return '$' + a + '.' + b;\n })\n .trim();\n}\n\n/**\n * \"The discount ends September 7, after which...\" -> \"2026-09-07\"\n * \"The promotional price expires on Sep 14th, with list price...\" -> \"2026-09-14\"\n *\n * Rolls to next year when the month has already passed, because fal never prints a\n * year. Abbreviated months and ordinal suffixes are both in use on the same day, in\n * prose written by different people, so both are accepted.\n */\nexport function parsePromoEnd(text, nowIso) {\n const m = plain(text).match(\n /(?:ends|until|through|expires)(?:\\s+on)?\\s+(jan|feb|mar|apr|may|jun|jul|aug|sep|oct|nov|dec)[a-z]*\\.?\\s+(\\d{1,2})(?:st|nd|rd|th)?(?:,?\\s*(\\d{4}))?/i\n );\n if (!m) return null;\n const month = MONTHS[m[1].toLowerCase()];\n const day = Number(m[2]);\n const now = new Date(nowIso);\n let year = m[3] ? Number(m[3]) : now.getUTCFullYear();\n if (!m[3]) {\n const candidate = Date.UTC(year, month - 1, day);\n // More than 60 days in the past means fal means next year, not last year.\n if (candidate < now.getTime() - 60 * 86400000) year += 1;\n }\n return new Date(Date.UTC(year, month - 1, day)).toISOString().slice(0, 10);\n}\n\nconst PROMO = /(promotional|promo\\b|limited time|discount ends|% off|launch rate)/i;\n// Out of scope by doc 03 section 7, or genuinely not resolvable from prose alone.\nconst TOKEN_PRICED = /per\\s*1M|per million|million video tokens|input tokens|output tokens/i;\nconst AUDIO_OUTPUT = /per second of (?:generated )?audio|second of output and per sample/i;\nconst UNRESOLVABLE = /per (?:compute second|request)\\b|per extra megapixel|first megapixel|per 1,000|rounded up to/i;\nconst RANGE = /[0-9]\\s*[–—-]\\s*[0-9]+\\s*(?:credits|per|\\/)/;\n\n// Where the sentence stops describing what you pay today and starts describing what\n// you will pay after the promo. Everything from here on is the FUTURE price and must\n// never be read as the current rate.\nconst REVERSION_MARKER = /\\b(?:after which|after that|thereafter|with list price(?:\\s+being)?|list price(?:\\s+is|\\s+will be)?|standard price(?:\\s+is|\\s+will be)?|regular price(?:\\s+is|\\s+will be)?|reverts? to|returns? to|goes back to)\\b/i;\n\n// Inside the reversion clause: \"480p is $0.05/second and 768p is $0.08/second\"\nconst R_RES_IS = /(\\d+p)\\s+(?:is|at|will be|costs?)\\s+\\$\\s?([0-9]*\\.?[0-9]+)/gi;\n// Any dollar figure in the reversion clause, for the single-rate shape\n// \"with list price being $0.08 per second of video\".\nconst R_ANY = /\\$\\s?([0-9]*\\.?[0-9]+)/g;\n\n// --- Video strategies, most specific first. First match wins.\n// \"charged $0.20 without audio or $0.40 with audio\" / \"$0.112 (audio off) or $0.168 (audio on)\"\nconst V_AUDIO_TIERS = /\\$\\s?([0-9]*\\.?[0-9]+)\\s*\$?(?:audio off|without audio)\$?\\s*(?:or|,)\\s*\\$\\s?([0-9]*\\.?[0-9]+)\\s*\$?(?:audio on|with audio)\$?/i;\n// \"480p at $0.08/sec, 720p at $0.14/sec\"\nconst V_RES_AT = /(\\d+p)\\s+at\\s+\\$\\s?([0-9]*\\.?[0-9]+)\\s*\\/?\\s*(?:sec|second)?/gi;\n// \"$0.068 at 480p, $0.14 at 720p, or $0.28 at 1080p\"\nconst V_PRICE_AT_RES = /\\$\\s?([0-9]*\\.?[0-9]+)\\s+at\\s+(\\d+p)/gi;\n// \"$0.0125 per second at 480p\"\nconst V_PER_SEC_AT = /\\$\\s?([0-9]*\\.?[0-9]+)\\s*(?:per|\\/)\\s*(?:sec|second)\\s+at\\s+(\\d+[a-zA-Z]{0,2})/gi;\n// \"For every additional second you will be charged $0.07.\"\nconst V_ADDITIONAL = /additional second[^.]{0,40}?charged\\s+\\$\\s?([0-9]*\\.?[0-9]+)/i;\n// Plain \"$0.10 per second\" / \"$0.10/sec\". Only reached when nothing above matched.\nconst V_LOOSE = /\\$\\s?([0-9]*\\.?[0-9]+)\\s*(?:per|\\/)\\s*(?:sec\\b|second)/gi;\n// If any of these appear and no tier strategy matched, the rate is tier-dependent\n// and picking one would be a guess.\nconst V_TIER_WORDS = /audio on|audio off|with audio|without audio|voice control/i;\n\nconst I_PER_IMAGE = /\\$\\s?([0-9]*\\.?[0-9]+)\\s*(?:per|\\/)\\s*image/gi;\n\nfunction allMatches(re, text, map) {\n re.lastIndex = 0;\n const out = [];\n let m;\n while ((m = re.exec(text)) !== null) out.push(map(m));\n return out;\n}\n\n/**\n * Split the prose at the reversion marker.\n *\n * This is load bearing twice over. It gives us the post-promo list price, and it\n * keeps that price out of the current-rate parse. Before the split,\n * `minimax/h3-max/director` (\"$0.02 per second ... with list price being $0.08 per\n * second\") looked like two unlabelled rates and was dropped entirely. Now the\n * current-rate strategies only ever see the half of the sentence describing today.\n *\n * @returns {{current: string, reversion: string|null}}\n */\nexport function splitReversion(text) {\n const m = REVERSION_MARKER.exec(text);\n if (!m) return { current: text, reversion: null };\n return { current: text.slice(0, m.index).trim(), reversion: text.slice(m.index) };\n}\n\n/**\n * List prices from a reversion clause, by resolution where stated and as a single\n * flat figure otherwise.\n *\n * @returns {{byRes: Record, flat: number|null}}\n */\nexport function parseReversion(reversionText) {\n const byRes = {};\n if (!reversionText) return { byRes, flat: null };\n for (const x of allMatches(R_RES_IS, reversionText, (m) => ({ r: m[1], p: Number(m[2]) }))) {\n if (Number.isFinite(x.p) && byRes[x.r] === undefined) byRes[x.r] = x.p;\n }\n const all = [...new Set(allMatches(R_ANY, reversionText, (m) => Number(m[1])))].filter(Number.isFinite);\n // A single figure with no resolution attached applies to the whole model. Several\n // unlabelled figures mean the clause is not resolvable and we publish no reversion\n // rather than the wrong one, exactly as the current-rate strategies do.\n const flat = Object.keys(byRes).length === 0 && all.length === 1 ? all[0] : null;\n return { byRes, flat };\n}\n\n/**\n * @param {object} item one entry from fal.ai/api/models\n * @param {string} nowIso\n * @returns {{rows: object[], skip: string|null}}\n */\nexport function parseItem(item, nowIso) {\n if (!item || item.removed) return { rows: [], skip: 'removed' };\n if (item.hidePricing) return { rows: [], skip: 'hidePricing' };\n if (item.kind && item.kind !== 'inference') return { rows: [], skip: 'kind' };\n\n const modality = modalityFromCategory(item.category);\n if (!modality) return { rows: [], skip: 'out of scope category' };\n\n const info = item.pricingInfoOverride;\n if (!info) return { rows: [], skip: 'no pricingInfoOverride' };\n\n const full = plain(info);\n if (TOKEN_PRICED.test(full)) return { rows: [], skip: 'token priced' };\n if (AUDIO_OUTPUT.test(full)) return { rows: [], skip: 'audio output' };\n if (UNRESOLVABLE.test(full)) return { rows: [], skip: 'unresolvable unit' };\n if (RANGE.test(full)) return { rows: [], skip: 'range not rate' };\n\n const isPromo = PROMO.test(full);\n // The date is stated in the reversion half of the sentence as often as the first\n // half, so it is read from the whole text. Rates are read from `text` only.\n const { current: text, reversion } = splitReversion(full);\n const revert = parseReversion(reversion);\n\n // fal reuses one title across several endpoints (four different models are all\n // called \"Veo 3.1\"). Disambiguate from the id's trailing segment so the table does\n // not show four identical-looking rows.\n const idParts = String(item.id).split('/');\n const variant = idParts.length > 2 ? idParts.slice(2).join('/') : null;\n const title = item.title || item.id;\n // Compare with hyphens flattened to spaces, otherwise \"H3 Max Turbo Image to Video\"\n // does not appear to contain \"image-to-video\" and every row gets a redundant\n // \"(image-to-video)\" suffix that says the same thing twice.\n const flat = (s) => s.toLowerCase().replace(/[-_]+/g, ' ').replace(/\\s+/g, ' ').trim();\n const displayName = variant && !flat(title).includes(flat(variant.split('/')[0]))\n ? `${title} (${variant})`\n : title;\n\n const base = {\n display_name: displayName,\n slug: String(item.id).replace(/[^a-z0-9]+/gi, '-').toLowerCase().replace(/^-+|-+$/g, ''),\n vendor: item.modelLab || 'fal',\n modality,\n native_currency: 'USD',\n fx_rate: 1,\n outputs: 1,\n parse_confidence: 0.9,\n endpoint_url: item.modelUrl || null,\n is_promotional: isPromo ? 1 : 0,\n promo_ends_at: isPromo ? parsePromoEnd(full, nowIso) : null,\n status: item.deprecated ? 'deprecated' : 'active',\n };\n\n /**\n * The list price for one row, in the same native unit as its price.\n *\n * A promotional rate is by definition below list, so a \"reversion\" at or below the\n * current price is a misread clause, not a price cut. Dropping it costs a\n * countdown detail; publishing it would put a false rise on the front page.\n */\n const revertFor = (resolution, price) => {\n const v = revert.byRes[resolution] !== undefined ? revert.byRes[resolution] : revert.flat;\n if (!Number.isFinite(v) || !Number.isFinite(price) || v <= price) return null;\n return v;\n };\n\n const rows = [];\n const seen = new Set();\n const push = (r) => {\n const key = r.native_unit + '|' + r.resolution + '|' + r.tier;\n if (seen.has(key)) return;\n seen.add(key);\n r.reverts_to_price = revertFor(r.resolution, r.native_price);\n rows.push(r);\n };\n const sec = (price, resolution, tier) =>\n push({ ...base, native_unit: 'per_second', native_price: Number(price), resolution, tier: tier || 'standard' });\n\n if (modality === 'video') {\n const tiers = text.match(V_AUDIO_TIERS);\n if (tiers) {\n sec(tiers[1], 'unspecified', 'no audio');\n sec(tiers[2], 'unspecified', 'audio');\n } else {\n const byRes = [\n ...allMatches(V_PER_SEC_AT, text, (m) => ({ p: m[1], r: m[2] })),\n ...allMatches(V_RES_AT, text, (m) => ({ p: m[2], r: m[1] })),\n ...allMatches(V_PRICE_AT_RES, text, (m) => ({ p: m[1], r: m[2] })),\n ];\n if (byRes.length) {\n for (const x of byRes) sec(x.p, x.r);\n } else if (V_TIER_WORDS.test(text)) {\n return { rows: [], skip: 'tier dependent, not resolvable' };\n } else {\n const add = text.match(V_ADDITIONAL);\n if (add) sec(add[1], 'unspecified');\n else {\n const loose = allMatches(V_LOOSE, text, (m) => m[1]);\n // Two different loose figures means the rate depends on something the prose\n // does not label. Do not guess which one a buyer would pay.\n const distinct = [...new Set(loose)];\n if (distinct.length === 1) sec(distinct[0], 'unspecified');\n else if (distinct.length > 1) return { rows: [], skip: 'multiple unlabelled rates' };\n }\n }\n }\n if (rows.length === 0) return { rows: [], skip: 'no video rate found' };\n } else {\n const imgs = [...new Set(allMatches(I_PER_IMAGE, text, (m) => m[1]))];\n if (imgs.length === 1) {\n push({ ...base, native_unit: 'per_image', native_price: Number(imgs[0]), resolution: 'any', tier: 'standard' });\n } else if (imgs.length > 1) {\n return { rows: [], skip: 'multiple unlabelled image rates' };\n } else {\n return { rows: [], skip: 'no image rate found' };\n }\n }\n\n return { rows, skip: null };\n}\n\n/**\n * Walks the paginated API. Injected fetch and clock so this stays testable.\n * A page failure part way through keeps whatever was already verified rather than\n * throwing the whole run away; a failure on page 1 is a real failure and throws,\n * which the pipeline records and publishes nothing for.\n */\nexport async function collectFalApi({ fetchImpl, now, userAgent, maxPages = 40, pageDelayMs = 120 }) {\n const rows = [];\n const skips = {};\n let pages = 0;\n let total = null;\n\n for (let page = 1; page <= maxPages; page++) {\n const res = await fetchImpl(`${API}?page=${page}`, {\n headers: { 'user-agent': userAgent || 'InferenceIndexBot/1.0', accept: 'application/json' },\n });\n if (!res.ok) {\n if (rows.length === 0) throw new Error('fal API page ' + page + ' returned HTTP ' + res.status);\n break;\n }\n const j = await res.json();\n const items = j.items || [];\n if (total === null) total = j.total ?? null;\n pages++;\n for (const it of items) {\n const { rows: r, skip } = parseItem(it, now);\n if (skip) skips[skip] = (skips[skip] || 0) + 1;\n for (const row of r) rows.push(row);\n }\n if (j.pages && page >= j.pages) break;\n if (items.length === 0) break;\n if (pageDelayMs) await new Promise((s) => setTimeout(s, pageDelayMs));\n }\n\n return { rows, skips, pages, total };\n}\n\nexport const falApiCollector = {\n provider: 'fal',\n vendor_fallback: 'fal',\n source_url: 'https://fal.ai/api/models',\n needs_live_verification: false,\n // Driven by collectFalApi, which paginates itself, not by the pipeline's\n // single-page fetch. See valtown/cron.ts.\n parse: () => {\n throw new Error('falApiCollector is driven by collectFalApi, not by parse()');\n },\n};\n",[],[160,297,338],"393593cf-5c06-4061-a641-effe56522a5e","aimlapi.js","0a56b80e-a7bb-11f1-9adb-1607ee4eb77e",70,["D",1788455719923],"// AI/ML API pricing collector.\n//\n// Source shape (verified 3 Sep 2026): one model per line, vendor and rate together:\n//\n// Black Forest Labs Flux Schnell — $0.004 per Megapixel —\n// Stability AI Stable Diffusion v3.5 Large — $0.085 per Megapixel —\n// Alibaba Cloud Z-Image Turbo — $0.007 per Megapixel —\n//\n// Everything here is priced per megapixel, which the normaliser already handles: the\n// canonical image figure is a finished 1024x1024 image, so the stored resolution is\n// 1024x1024 and the conversion is price x 1.0486 megapixels. That is arithmetic on the\n// provider's own unit, not an assumption about what size anyone generates.\n//\n// Rows that quote a second, conditional rate (\"also $0.039 per additional megapixel\")\n// keep only the first, headline figure, which is what a buyer pays for one image.\nimport { lines } from './html.js';\n\nconst ROW = /^(.+?)\\s+[—–-]\\s+\\$\\s?([0-9]*\\.?[0-9]+)\\s+per\\s+Megapixel\\b/i;\n\n// Leading vendor names AI/ML API prints before the model name. Longest first so\n// \"Black Forest Labs\" wins over any shorter accidental prefix.\nconst VENDORS = [\n 'Black Forest Labs', 'Stability AI', 'Alibaba Cloud', 'Topaz Labs', 'Tencent Hunyuan',\n 'ByteDance', 'Tencent', 'Alibaba', 'Google', 'OpenAI', 'Recraft', 'Ideogram',\n 'MiniMax', 'Kling', 'Luma', 'Runway', 'Flux',\n];\n\nexport function parseAimlapiPricing(text) {\n const out = [];\n const seen = new Set();\n\n for (const l of lines(text)) {\n const m = l.match(ROW);\n if (!m) continue;\n\n const full = m[1].trim();\n // Guard against a stray sentence being read as a model name.\n if (full.length > 70 || full.split(/\\s+/).length > 9) continue;\n\n const vendor = VENDORS.find((v) => full.toLowerCase().startsWith(v.toLowerCase()));\n const display = vendor ? full.slice(vendor.length).trim() || full : full;\n\n const slug = full.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-+|-+$/g, '');\n if (seen.has(slug)) continue;\n seen.add(slug);\n\n out.push({\n display_name: display,\n slug,\n vendor: vendor || 'aimlapi',\n modality: 'image',\n native_unit: 'per_megapixel',\n native_price: Number(m[2]),\n native_currency: 'USD',\n fx_rate: 1,\n // The canonical image size from doc 03 section 2. The normaliser turns per\n // megapixel into per finished image at this resolution.\n resolution: '1024x1024',\n tier: 'standard',\n outputs: 1,\n parse_confidence: 1,\n });\n }\n return out;\n}\n\nexport const aimlapiCollector = {\n provider: 'aimlapi',\n vendor_fallback: 'aimlapi',\n source_url: 'https://aimlapi.com/ai-ml-api-pricing',\n parse: parseAimlapiPricing,\n needs_live_verification: false,\n};\n",[],[160,297,346],"775900cc-68d5-41a1-803f-766a6e5bd0d1",["D",1788438594966],[177,178,179,180,181,182,183,184],[160,297],["D",1788438577468],[176,185,186,187,188,189,190,191,192],[160],["D",1788438548015],["D",1789480235853],{"_100":99,"_107":102},{"_100":99,"_101":102,"_103":102,"_18":56,"_104":105,"_106":25},{"_13":89,"_32":90,"_44":43,"_91":45,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":46,"_98":99},"ctx",{"_82":-5,"_126":398,"_399":400,"_401":402,"_403":25,"_404":25,"_405":25,"_406":59,"_407":-5,"_408":-7,"_409":-7,"_410":63,"_411":25,"_412":25,"_413":-5,"_414":25,"_415":25,"_416":25,"_417":-5},"ENV",{"_369":370,"_371":372,"_373":90,"_374":375,"_376":377,"_378":379,"_380":381,"_382":383,"_384":385,"_386":387,"_388":389,"_390":391,"_392":393,"_394":395,"_396":397},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v99