🔍 Person Enrichment API Tester

Test the person enrichment endpoint with different data combinations

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\n Endpoint: ${API_ENDPOINT}\n

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🚀 Quick Tests

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📝 Custom Test

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\n Email\n \n

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\n Name\n \n

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\n Company\n \n

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\n LinkedIn\n \n

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\n Twitter\n \n

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\n Website\n \n

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Testing API endpoint...

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📊 Results

\n\n \n \n `;\n\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n} ",[],[173],{"_104":182,"_95":183,"_153":184,"_155":-5,"_156":138,"_157":185,"_159":160,"_106":186,"_100":32,"_162":163,"_164":187,"_166":22,"_167":-5,"_168":188,"_98":189},"2b4a1c1c-4002-11f0-940a-76b3cceeab13","deno.json","2b4a1cee-4002-11f0-940a-76b3cceeab13",7,["D",1748903850848],"{\n \"$schema\": \"https://raw.githubusercontent.com/denoland/deno/348900b8b79f4a434cab4c74b3bc8d4d2fa8ee74/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": false,\n \"types\": [\n \"https://www.val.town/types/valtown.d.ts\"\n ],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"files\": {\n \"include\": [\n \"deno:/https/esm.town/**/*\"\n ]\n },\n \"rules\": {\n \"exclude\": [\n \"no-explicit-any\"\n ]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n }\n}",[],[183],{"_104":191,"_95":99,"_153":192,"_155":-5,"_156":138,"_157":193,"_159":22,"_106":194,"_100":195,"_162":177,"_164":196,"_166":22,"_167":-5,"_168":197,"_98":198},"77c1bbae-4002-11f0-8d7f-76b3cceeab13","e6569cac-4001-11f0-95e5-76b3cceeab13",15,["D",1748903979167],12,"import OpenAI from \"npm:openai\";\n\ninterface PersonEnrichmentRequest {\n email?: string;\n name?: string;\n company?: string;\n linkedin?: string;\n twitter?: string;\n website?: string;\n}\n\ninterface PersonEnrichmentResponse {\n success: boolean;\n data?: {\n summary: string;\n professional_background: string;\n current_role: string;\n company_info: string;\n recent_activities: string;\n social_presence: string;\n achievements: string;\n sources: string[];\n };\n error?: string;\n}\n\nexport default async function(req: Request): Promise {\n // Serve HTML form on GET requests\n if (req.method === \"GET\") {\n const html = `\n \n \n \n \n \n Person Enrichment API Tester\n \n \n \n

Person Enrichment API Tester

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Enriching person data...

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Results

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Error

\n\n \n \n `;\n \n return new Response(html, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n // Only allow POST requests for the API\n if (req.method !== \"POST\") {\n return new Response(\n JSON.stringify({\n success: false,\n error: \"Method not allowed. Use POST!!!!!!!!!!!\"\n }),\n {\n status: 405,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n try {\n // Parse request body\n const body: PersonEnrichmentRequest = await req.json();\n\n // Validate that at least one identifier is provided\n if (!body.email && !body.name && !body.linkedin && !body.twitter && !body.website) {\n return new Response(\n JSON.stringify({\n success: false,\n error: \"At least one identifier is required (email, name, linkedin, twitter, or website)\",\n }),\n {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n // Build search query based on available information\n let searchQuery = \"Research and find information about this person: \";\n const identifiers = [];\n\n if (body.name) identifiers.push(`Name: ${body.name}`);\n if (body.email) identifiers.push(`Email: ${body.email}`);\n if (body.company) identifiers.push(`Company: ${body.company}`);\n if (body.linkedin) identifiers.push(`LinkedIn: ${body.linkedin}`);\n if (body.twitter) identifiers.push(`Twitter: ${body.twitter}`);\n if (body.website) identifiers.push(`Website: ${body.website}`);\n\n searchQuery += identifiers.join(\", \");\n\n searchQuery += `\n\nPlease provide a comprehensive research report with the following sections:\n1. SUMMARY: A brief overview of who this person is\n2. PROFESSIONAL_BACKGROUND: Their career history, education, and expertise\n3. CURRENT_ROLE: Their current position and responsibilities\n4. COMPANY_INFO: Information about their current or most recent company\n5. RECENT_ACTIVITIES: Recent news, projects, or public activities\n6. SOCIAL_PRESENCE: Their online presence and thought leadership\n7. ACHIEVEMENTS: Notable accomplishments, awards, or recognition\n8. SOURCES: List the main sources you found this information from\n\nFormat your response as a structured report. If you cannot find information for any section, please indicate \"No information found\" for that section.`;\n\n // Initialize OpenAI client\n const client = new OpenAI({\n apiKey: Deno.env.get(\"OPENAI_API_KEY\"),\n });\n\n // Make the search request\n const completion = await client.chat.completions.create({\n model: \"gpt-4o-search-preview\",\n web_search_options: {},\n messages: [{\n role: \"user\",\n content: searchQuery,\n }],\n max_tokens: 2000,\n });\n\n const content = completion.choices[0].message.content;\n\n if (!content) {\n throw new Error(\"No content returned from OpenAI\");\n }\n\n // Parse the structured response\n const sections = {\n summary: extractSection(content, \"SUMMARY\"),\n professional_background: extractSection(content, \"PROFESSIONAL_BACKGROUND\"),\n current_role: extractSection(content, \"CURRENT_ROLE\"),\n company_info: extractSection(content, \"COMPANY_INFO\"),\n recent_activities: extractSection(content, \"RECENT_ACTIVITIES\"),\n social_presence: extractSection(content, \"SOCIAL_PRESENCE\"),\n achievements: extractSection(content, \"ACHIEVEMENTS\"),\n sources: extractSources(content),\n };\n\n const response: PersonEnrichmentResponse = {\n success: true,\n data: sections,\n };\n\n return new Response(JSON.stringify(response, null, 2), {\n status: 200,\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Error in person enrichment:\", error);\n\n const response: PersonEnrichmentResponse = {\n success: false,\n error: error instanceof Error ? error.message : \"Unknown error occurred\",\n };\n\n return new Response(JSON.stringify(response), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n}\n\n// Helper function to extract sections from the response\nfunction extractSection(content: string, sectionName: string): string {\n const regex = new RegExp(`${sectionName}:?\\\\s*([\\\\s\\\\S]*?)(?=\\\\n\\\\d+\\\\.|\\\\n[A-Z_]+:|$)`, \"i\");\n const match = content.match(regex);\n return match ? match[1].trim() : \"No information found\";\n}\n\n// Helper function to extract sources\nfunction extractSources(content: string): string[] {\n const sourcesSection = extractSection(content, \"SOURCES\");\n if (sourcesSection === \"No information found\") {\n return [];\n }\n\n // Try to extract URLs or source names from the sources section\n const urlRegex = /https?:\\/\\/[^\\s]+/g;\n const urls = sourcesSection.match(urlRegex) || [];\n\n // Also try to extract bullet points or numbered items\n const lines = sourcesSection.split(\"\\n\")\n .map(line => line.trim())\n .filter(line => line.length > 0 && !urls.some(url => line.includes(url)));\n\n return [...urls, ...lines].slice(0, 10); // Limit to 10 sources\n}",[],[99],"files",[150,171,181,190],"counts",{"_203":32,"_204":176,"_205":32,"_206":176},"pulls","branches","forks","envVars","contents",[],{"_104":191,"_95":99,"_153":192,"_155":-5,"_156":138,"_157":193,"_159":22,"_106":210,"_100":195,"_162":177,"_164":196,"_166":22,"_167":-5,"_98":211},["D",1748903979167],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":220,"_148":225,"_199":238,"_163":239,"_207":242,"_243":-5,"_244":22,"_245":-5,"_246":-5,"_247":-5,"_248":249},{"_104":105,"_95":96,"_106":221,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":222,"_132":223,"_135":224,"_147":22},["D",1748903735185],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_100":137,"_95":43,"_104":138,"_139":105,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},[226,229,232,235],{"_104":151,"_95":152,"_153":154,"_155":-5,"_156":138,"_157":158,"_159":160,"_106":161,"_100":32,"_162":163,"_164":165,"_166":22,"_167":-5,"_168":227,"_98":228},[],[152],{"_104":172,"_95":173,"_153":174,"_155":-5,"_156":138,"_157":101,"_159":22,"_106":175,"_100":176,"_162":177,"_164":178,"_166":22,"_167":-5,"_168":230,"_98":231},[],[173],{"_104":182,"_95":183,"_153":184,"_155":-5,"_156":138,"_157":185,"_159":160,"_106":186,"_100":32,"_162":163,"_164":187,"_166":22,"_167":-5,"_168":233,"_98":234},[],[183],{"_104":191,"_95":99,"_153":192,"_155":-5,"_156":138,"_157":193,"_159":22,"_106":194,"_100":195,"_162":177,"_164":196,"_166":22,"_167":-5,"_168":236,"_98":237},[],[99],[226,229,232,235],{"_104":191,"_156":138,"_153":192,"_95":99,"_164":196,"_162":177,"_100":195,"_155":-5,"_106":240,"_157":193,"_167":-5,"_98":241},["D",1748903979167],[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]