Apex Scout — market intel

APEX SCOUT

\n 🔒 UNLISTED\n \n \n

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live

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Player	Growth	Role	Age	Rank	Ceiling	Fog	Salary	Buy now	Time Left

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Player	\n Growth▾ \n \n Growth Class \n \n ★ Prodigy\n Veteran\n Amateur\n Novice\n \n \n \n	\n Age▾ \n \n Filter Age \n \n \n \n \n \n \n	\n Market Rank▾ \n \n Market Rank \n All Clear \n \n \n \n	\n Market Pot▾ \n \n Market Potential \n All Clear \n \n \n \n	\n Fog▾ \n \n Filter Fog % \n \n \n \n \n \n \n	\n Ret Rank▾ \n \n Retired Rank \n All Clear \n \n \n \n	\n Ret Pot▾ \n \n Retired Potential \n All Clear \n \n \n \n	\n Salary▾ \n \n Filter Salary \n \n \n \n \n \n \n	\n Pot Δ▾ \n \n Potential Tier Change \n \n \n \n \n \n \n	Resolved

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Advanced Signal Analysis

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A+ / S-Tier Potential Hit Rate Matrix

Market grade pairs (45%–85% Fog, Sample ≥ 25) ranked by likelihood of revealing ≥ A+ potential.

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Grade Pair (Rank / Pot)	Sample (N)	Avg Fog	Avg Salary	≥ A+ Hits	≥ A+ Rate	S-Tier (S-/S/S+)	Avg Rev. True	Avg Rev. Pot

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Reached ≥ A- potential, by fog band

Percentage of resolved players in each fog band that reached or exceeded the selected grade threshold.

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Age Cohort vs. Upside Decay

Conversion probability of hitting A- and S- tier ceilings across player age brackets.

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Salary vs Revealed Rating

Market salary vs revealed rating — highlighting hidden S-tier players under 6,000 cr/wk.

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Ceiling Grade Distribution

Displayed potential grades split by player growth archetype.

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Roster Development Tracker

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\n\n\n\n`;",[180],"52f2df96-bed7-44a7-bf25-dbc54e582e4b","main.ts","f693e3b8-9bd1-11f1-bfe0-1607ee4eb77e",["D",1787147006802],1,"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { initDb } from \"./db.ts\";\n\n// Run this once (or any time) to initialize the schema and see current state.\nawait initDb();\n\nconst l = await sqlite.execute(`SELECT COUNT(*) AS c FROM listings`);\nconst r = await sqlite.execute(`SELECT COUNT(*) AS c FROM retired`);\nconst g = await sqlite.execute(`SELECT COUNT(*) AS c FROM retired WHERE is_gem = 1`);\nconst p = await sqlite.execute(`SELECT COUNT(*) AS c FROM player_checks`);\n\nconsole.log(`apexGemTracker status`);\nconsole.log(` listings: ${l.rows[0]?.c ?? 0}`);\nconsole.log(` retired: ${r.rows[0]?.c ?? 0}`);\nconsole.log(` gems found: ${g.rows[0]?.c ?? 0}`);\nconsole.log(` players checked: ${p.rows[0]?.c ?? 0}`);\n",[188],"c996f45c-e722-4321-85d4-d696679b7016","db.ts","e798aad6-9bd3-11f1-89a9-1607ee4eb77e",199,["D",1787584929217],11,"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// A \"gem\" = a player who displayed BELOW A- potential on the market, but whose\n// revealed (retired) potential grade is A- or higher. Comparison is by letter\n// grade only — the game's numeric true/potential rating does NOT map to a fixed\n// grade scale we can rely on, so we never infer a grade from a number.\nconst A_MINUS_INDEX = 9;\n\nconst GRADE_INDEX: Record = {\n \"D-\": 0,\n \"D\": 1,\n \"D+\": 2,\n \"C-\": 3,\n \"C\": 4,\n \"C+\": 5,\n \"B-\": 6,\n \"B\": 7,\n \"B+\": 8,\n \"A-\": 9,\n \"A\": 10,\n \"A+\": 11,\n \"S-\": 12,\n \"S\": 13,\n \"S+\": 14,\n};\n\nexport function gradeIndex(letter?: string | null): number | null {\n if (!letter) return null;\n return GRADE_INDEX[letter] ?? null;\n}\n\n// Was the displayed potential grade strictly below A- ? (i.e. fog hid an A-+ player)\nexport function isBelowAMinus(letter?: string | null): boolean {\n const i = gradeIndex(letter);\n return i !== null && i < A_MINUS_INDEX;\n}\n\nexport function isGem(\n marketPotential: string | null,\n retiredPotential: string | null,\n): boolean {\n return isBelowAMinus(marketPotential) && !isBelowAMinus(retiredPotential);\n}\n\nexport async function initDb() {\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS listings (\n auction_id TEXT PRIMARY KEY,\n player_id TEXT NOT NULL,\n name TEXT,\n role TEXT,\n age REAL,\n growth_class TEXT,\n archetype TEXT,\n est_rank TEXT,\n est_potential TEXT,\n intel REAL,\n fog_pct INTEGER,\n salary INTEGER,\n starting_bid INTEGER,\n current_bid INTEGER,\n first_seen_at INTEGER,\n last_seen_at INTEGER,\n left_at INTEGER,\n player_json TEXT\n )`,\n );\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS retired (\n player_id TEXT PRIMARY KEY,\n name TEXT,\n market_est_rank TEXT,\n market_est_potential TEXT,\n market_intel REAL,\n market_fog_pct INTEGER,\n market_salary INTEGER,\n true_rating INTEGER,\n potential_rating INTEGER,\n peak_rating INTEGER,\n retired_at INTEGER,\n checked_at INTEGER,\n is_gem INTEGER DEFAULT 0\n )`,\n );\n try {\n await sqlite.execute(`ALTER TABLE retired ADD COLUMN card_url TEXT`);\n } catch { /* already exists */ }\n try {\n await sqlite.execute(`ALTER TABLE retired ADD COLUMN retired_rank TEXT`);\n } catch { /* already exists */ }\n try {\n await sqlite.execute(\n `ALTER TABLE retired ADD COLUMN retired_potential TEXT`,\n );\n } catch { /* already exists */ }\n try {\n await sqlite.execute(`ALTER TABLE retired ADD COLUMN market_age REAL`);\n } catch { /* already exists */ }\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS player_checks (\n player_id TEXT PRIMARY KEY,\n name TEXT,\n last_checked_at INTEGER,\n retired INTEGER DEFAULT 0\n )`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_listings_player ON listings(player_id)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_listings_left ON listings(left_at)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_listings_first ON listings(first_seen_at)`,\n );\n\n // ── Roster Development Tracker tables ──\n\n // Time-series: one row per player per 30-min snapshot\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS roster_snapshots (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n player_id TEXT NOT NULL,\n name TEXT,\n roster_group TEXT,\n role TEXT,\n secondary_role TEXT,\n growth_class TEXT,\n age REAL,\n aim INTEGER, mechanics INTEGER, clutch INTEGER, consistency INTEGER,\n awareness INTEGER, communication INTEGER, temperament INTEGER, cognition INTEGER,\n aim_cap INTEGER, mechanics_cap INTEGER, clutch_cap INTEGER, consistency_cap INTEGER,\n awareness_cap INTEGER, communication_cap INTEGER, temperament_cap INTEGER, cognition_cap INTEGER,\n activity TEXT,\n practice_focus TEXT,\n fatigue INTEGER,\n scrims_today INTEGER,\n streams_today INTEGER,\n committed_to_tournament INTEGER DEFAULT 0,\n active_tournament_id TEXT,\n lockout_until TEXT,\n salary INTEGER,\n snapshot_at INTEGER NOT NULL\n )`,\n );\n\n // Detected stat changes with activity attribution\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS roster_events (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n player_id TEXT NOT NULL,\n name TEXT,\n stat_name TEXT NOT NULL,\n old_value INTEGER,\n new_value INTEGER,\n delta INTEGER,\n attributed_activity TEXT,\n tournament_id TEXT,\n detected_at INTEGER NOT NULL\n )`,\n );\n\n // Player joins, departures, group moves\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS roster_changes (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n player_id TEXT NOT NULL,\n name TEXT,\n change_type TEXT NOT NULL,\n from_group TEXT,\n to_group TEXT,\n details TEXT,\n changed_at INTEGER NOT NULL\n )`,\n );\n\n // Development leads (hint clues from knowledge dossiers)\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS development_leads (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n clue_id TEXT UNIQUE NOT NULL,\n player_id TEXT NOT NULL,\n player_name TEXT,\n clue_text TEXT NOT NULL,\n completed INTEGER DEFAULT 0,\n first_seen_at INTEGER NOT NULL,\n completed_at INTEGER\n )`,\n );\n\n // Development history (history clues — turning points, contracts, etc.)\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS development_history (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n clue_id TEXT UNIQUE NOT NULL,\n player_id TEXT NOT NULL,\n player_name TEXT,\n clue_text TEXT NOT NULL,\n activity_key TEXT,\n activity_label TEXT,\n changes_json TEXT,\n occurred_at TEXT,\n first_seen_at INTEGER NOT NULL\n )`,\n );\n\n // Turning points — key story events for players\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS turning_points (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n player_id TEXT NOT NULL,\n player_name TEXT,\n description TEXT,\n arc_key TEXT,\n detected_at INTEGER NOT NULL\n )`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_tp_player ON turning_points(player_id)`,\n );\n\n // Activity sessions — one row per activity session (scrim/stream/tournament)\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS activity_sessions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n player_id TEXT NOT NULL,\n player_name TEXT,\n activity TEXT NOT NULL,\n started_at INTEGER NOT NULL,\n lockout_until TEXT,\n detected_at INTEGER NOT NULL\n )`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_actsess_player ON activity_sessions(player_id)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_actsess_lockout ON activity_sessions(player_id, lockout_until)`,\n );\n\n // Add fog_pct to roster_snapshots (migration for existing table)\n try {\n await sqlite.execute(`ALTER TABLE roster_snapshots ADD COLUMN fog_pct INTEGER`);\n } catch { /* already exists */ }\n\n // Add estimated_rank and estimated_potential to roster_snapshots\n try {\n await sqlite.execute(`ALTER TABLE roster_snapshots ADD COLUMN estimated_rank TEXT`);\n } catch { /* already exists */ }\n try {\n await sqlite.execute(`ALTER TABLE roster_snapshots ADD COLUMN estimated_potential TEXT`);\n } catch { /* already exists */ }\n\n // Add details column to roster_events for turning point reasons, psych info, etc.\n try {\n await sqlite.execute(`ALTER TABLE roster_events ADD COLUMN details TEXT`);\n } catch { /* already exists */ }\n\n // Indexes for roster queries\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_snapshots_player ON roster_snapshots(player_id)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_snapshots_at ON roster_snapshots(snapshot_at)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_events_player ON roster_events(player_id)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_changes_player ON roster_changes(player_id)`,\n );\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_leads_player ON development_leads(player_id)`,\n );\n}\n",[195],"f5a7613f-a27f-4556-ab78-9a37cf407e76","collect.ts","f18cf222-9bd3-11f1-8fbb-1607ee4eb77e",80,["D",1787353789910],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { initDb } from \"./db.ts\";\n\nconst API = \"https://apexmanager.rootsxo.studio/api/auctions\";\n\nexport default async function collect(_interval: Interval) {\n await initDb();\n\n // Ensure end_at column exists in listings table\n try {\n await sqlite.execute(`ALTER TABLE listings ADD COLUMN end_at INTEGER`);\n } catch (_e) {\n // Column already exists\n }\n\n const token = Deno.env.get(\"APEX_TOKEN\");\n if (!token) throw new Error(\"Missing APEX_TOKEN\");\n\n const resp = await fetch(API, { headers: { Authorization: `Bearer ${token}` } });\n if (!resp.ok) throw new Error(`API error: ${resp.status} ${resp.statusText}`);\n const data = await resp.json();\n const auctions = Array.isArray(data) ? data : (data.auctions ?? data.items ?? []);\n const now = Date.now();\n\n const activeAuctionIds: string[] = [];\n\n for (const a of auctions) {\n if (a.kind !== \"player\" || !a.player) continue;\n activeAuctionIds.push(a.id);\n const p = a.player;\n const intel = p.fogConfidence ?? 0;\n const fogPct = Math.round((1 - intel) * 100);\n const endAtMs = a.endAt ? new Date(a.endAt).getTime() : null;\n\n await sqlite.execute(\n `INSERT INTO listings\n (auction_id, player_id, name, role, age, growth_class, archetype,\n est_rank, est_potential, intel, fog_pct, salary, starting_bid, current_bid,\n first_seen_at, last_seen_at, end_at, left_at, player_json)\n VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,NULL,?)\n ON CONFLICT(auction_id) DO UPDATE SET\n last_seen_at = excluded.last_seen_at,\n end_at = COALESCE(excluded.end_at, listings.end_at),\n current_bid = excluded.current_bid,\n left_at = NULL,\n player_json = excluded.player_json`,\n [\n a.id, p.id, p.name, p.role, p.age, p.growthClass, p.archetype ?? null,\n p.estimatedRank, p.estimatedPotential, intel, fogPct, p.salary ?? null,\n a.startingBid ?? null, a.currentBid ?? null,\n now, now, endAtMs, JSON.stringify(p),\n ],\n );\n }\n\n // If a listing wasn't in the active auctions response, mark it as left the market immediately\n if (activeAuctionIds.length > 0) {\n const placeholders = activeAuctionIds.map(() => \"?\").join(\",\");\n await sqlite.execute(\n `UPDATE listings SET left_at = ? WHERE left_at IS NULL AND auction_id NOT IN (${placeholders})`,\n [now, ...activeAuctionIds],\n );\n }\n\n const n = await sqlite.execute(`SELECT COUNT(*) AS c FROM listings`);\n const c = n.rows[0]?.c ?? 0;\n console.log(`Collect: ${auctions.length} auctions, ${c} tracked listings.`);\n}",[203],"1d03028a-9d90-413c-a890-1d9e163eabb4","check.ts","f1983bdc-9bd3-11f1-8fbb-1607ee4eb77e",74,["D",1787347872727],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { initDb, isGem } from \"./db.ts\";\n\nconst API = \"https://apexmanager.rootsxo.studio/api/players/\";\nconst RE_CHECK_MS = 10 * 60 * 1000; // Retry unresolved/active players every 10 minutes\n\nasync function getCard(id: string): Promise {\n const token = Deno.env.get(\"APEX_TOKEN\");\n try {\n const r = await fetch(API + id, {\n headers: { Authorization: `Bearer ${token}` },\n });\n return r.ok ? await r.json() : null;\n } catch {\n return null;\n }\n}\n\nexport default async function check(_interval: Interval) {\n await initDb();\n const token = Deno.env.get(\"APEX_TOKEN\");\n if (!token) throw new Error(\"Missing APEX_TOKEN\");\n\n const now = Date.now();\n\n // Query ONLY players whose listings have definitively left the market (left_at IS NOT NULL)\n // regardless of whether their auction lasted 15 minutes, 6 hours, or 24 hours.\n const rows = await sqlite.execute(\n `SELECT l.player_id, l.name, MAX(l.left_at) AS left_market_at\n FROM listings l\n LEFT JOIN player_checks c ON c.player_id = l.player_id\n WHERE l.left_at IS NOT NULL\n AND (c.player_id IS NULL OR c.retired = 0)\n AND (c.player_id IS NULL OR c.last_checked_at < ?)\n GROUP BY l.player_id\n ORDER BY left_market_at ASC\n LIMIT 100`,\n [now - RE_CHECK_MS],\n );\n\n let checked = 0;\n let retiredFound = 0;\n\n for (const r of rows.rows as any[]) {\n const pid = r.player_id;\n const card = await getCard(pid);\n if (!card) continue;\n\n checked++;\n if (card.isRetired || card.trueRating != null) {\n // Retrieve earliest market display listing for this player\n const m = await sqlite.execute(\n `SELECT est_rank, est_potential, intel, fog_pct, salary, age\n FROM listings \n WHERE player_id = ? \n ORDER BY first_seen_at ASC \n LIMIT 1`,\n [pid],\n );\n const d = m.rows[0] as any;\n const gem = isGem(\n d?.est_potential ?? null,\n card.estimatedPotential ?? null,\n );\n\n await sqlite.execute(\n `INSERT INTO retired\n (player_id, name, market_est_rank, market_est_potential, market_intel,\n market_fog_pct, market_age, market_salary, true_rating, potential_rating, peak_rating,\n retired_rank, retired_potential, retired_at, checked_at, is_gem, card_url)\n VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)\n ON CONFLICT(player_id) DO UPDATE SET\n true_rating = excluded.true_rating,\n potential_rating = excluded.potential_rating,\n peak_rating = excluded.peak_rating,\n retired_rank = excluded.retired_rank,\n retired_potential = excluded.retired_potential,\n checked_at = excluded.checked_at,\n is_gem = excluded.is_gem,\n card_url = excluded.card_url`,\n [\n pid,\n card.name ?? r.name,\n d?.est_rank ?? null,\n d?.est_potential ?? null,\n d?.intel ?? null,\n d?.fog_pct ?? null,\n d?.age ?? null,\n d?.salary ?? null,\n card.trueRating ?? null,\n card.potentialRating ?? null,\n card.peakRating ?? null,\n card.estimatedRank ?? null,\n card.estimatedPotential ?? null,\n now,\n now,\n gem ? 1 : 0,\n `https://apexmanager.rootsxo.studio/player/${pid}`,\n ],\n );\n\n await sqlite.execute(\n `INSERT INTO player_checks (player_id, name, last_checked_at, retired)\n VALUES (?,?,?,1)\n ON CONFLICT(player_id) DO UPDATE SET retired = 1, last_checked_at = excluded.last_checked_at`,\n [pid, card.name ?? r.name, now],\n );\n retiredFound++;\n } else {\n await sqlite.execute(\n `INSERT INTO player_checks (player_id, name, last_checked_at, retired)\n VALUES (?,?,?,0)\n ON CONFLICT(player_id) DO UPDATE SET last_checked_at = excluded.last_checked_at`,\n [pid, card.name ?? r.name, now],\n );\n }\n }\n\n console.log(\n `Check: ${checked} cards checked, ${retiredFound} retired/resolved.`,\n );\n}",[210],"f891a401-9930-473b-aa49-7822ef06dc32","AGENTS.md","85cb48e2-9bd6-11f1-8663-1607ee4eb77e",102,["D",1787505538235],"# apexGemTracker — Core Architecture & Context\n\nThis Val tracks Apex Manager market listings to find \"hidden gems\": players who displayed BELOW A- potential on the market but actually retired with A- or higher potential (i.e., fog hid their true quality)[cite: 1]. This is strictly a data collection and comparison pipeline with a web dashboard, entirely separate from notification/alert Vals[cite: 1].\n\n## ⚠️ Core Business Logic\n\n1. **The Gem Rule (`db.ts`)**\n `is_gem = isBelowAMinus(marketPotential) && !isBelowAMinus(retiredPotential)`[cite: 1, 4]\n *CRITICAL:* Always compare LETTER GRADES (`estimatedRank` / `estimatedPotential`), never the numeric `trueRating` or `potentialRating`[cite: 1]. The game's numeric ratings do not map to a reliable letter grade scale (e.g., a potential rating of 1986 might retire as a C/B, not an A)[cite: 1]. The authoritative \"true\" grade is the revealed letter grade on the retired card at 100% confidence[cite: 1].\n\n2. **Fog Semantics**\n `fogConfidence` (API) = INTEL[cite: 1]. Displayed \"Fog %\" = 100 - (fogConfidence * 100)[cite: 3]. High intel (low fog) = well-scouted; low intel (high fog) = obscured/lottery[cite: 1].\n\n## Data Model (SQLite)\n\n* **`listings`**: Snapshot of every market listing (keyed by `auction_id`)[cite: 1]. Captures the first-seen state (est rank/potential, intel, fog, salary, full `player_json`)[cite: 1, 3]. Upserted every run[cite: 1]. `left_at` is set when a listing stops appearing in the active auctions API[cite: 1, 3].\n* **`retired`**: Resolved players[cite: 1]. Compares market display vs. retired revealed grade (`retired_rank` / `retired_potential`)[cite: 1]. Stores market age/salary snapshot + true numeric ratings + `is_gem` flag + `card_url`[cite: 1, 2].\n* **`player_checks`**: Dedupe and backoff tracking table (checked every 10 minutes) so we don't spam the API for unresolved players[cite: 1, 2].\n\n## Scheduled Jobs (Cron)\n\n* **`collect.ts` (*/15 mins)**: Snapshots all `/api/auctions` listings[cite: 1]. Inserts new listings and updates `left_at` for expired auctions[cite: 3].\n* **`check.ts` (Hourly)**: Looks at listings that left the market >=1h ago[cite: 1]. Fetches `/api/players/{id}`[cite: 1]. If retired, calculates gem status and moves to `retired` table[cite: 1, 2]. If still active, backs off and checks again later[cite: 1]. \n\n## Web & API Endpoints (HTTP)\n\n* **`site.ts`**: The main frontend UI and API router[cite: 9]. Serves a rich HTML/JS dashboard at the root (`/`) with tabs for Live Market, Retired Players, and Advanced Analytics charts[cite: 6, 9]. Serves JSON endpoints at `/api/stats`, `/api/live`, `/api/retired`, and `/api/analytics`[cite: 9].\n* **`report.ts`**: Spreadsheet export router[cite: 1, 7]. Serves raw JSON and CSVs (e.g., `/csv` for gems, `/csv/listings` for active market)[cite: 1, 7]. Designed to be ingested directly by Google Sheets using the `IMPORTDATA()` function[cite: 1].\n* **`main.ts`**: A utility script to initialize the DB schema and print current table row counts[cite: 1, 5]. \n\n## Environment\n\n* `APEX_TOKEN`: The bearer token required to authenticate against the Apex Manager API[cite: 1]. 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