Pricing

Pay per event + usage

Superlead ICP Scorer

Score sales leads against your Ideal Customer Profile (ICP) using AI. Submit any lead data — title, company, industry, size — and get a 0-100 fit score with band labels and plain-English explanations. Batch thousands or score one via instant API. For B2B prospecting and lead prioritization.

Pricing

Pay per event + usage

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Superlative

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2 days ago

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{ "name": "superlead-icp-scorer", "version": "0.1.0", "type": "module", "description": "Score leads against your Ideal Customer Profile using AI. Get fit scores, band labels, and explanations for every lead.", "engines": { "node": ">=18.0.0" }, "dependencies": { "apify": "^3.5.2", "openai": "^4.0.0" }, "scripts": { "start": "node ./src/main.js", "test": "node --test tests/*.test.js" }, "author": "Superlative", "license": "ISC" }

FROM apify/actor-node:20 COPY package*.json ./ RUN npm --quiet set progress=false \ && npm install --omit=dev --omit=optional \ && echo "Installed NPM packages:" \ && (npm list --omit=dev --all || true) \ && echo "Node.js version:" \ && node --version \ && echo "NPM version:" \ && npm --version \ && rm -r ~/.npm COPY . ./ CMD npm start --silent

{ "actorOutputSchemaVersion": 1, "title": "Superlead ICP Scorer Output", "description": "Scored leads with ICP fit scores, band labels, and plain-English explanations.", "properties": { "allResults": { "type": "string", "title": "All Results", "description": "All scored leads with fit scores, bands, and summaries", "template": "{{links.apiDefaultDatasetUrl}}/items" } } }

{ "openapi": "3.0.3", "info": { "title": "Superlead ICP Scorer — Standby API", "description": "Score a single lead against your Ideal Customer Profile via HTTP GET. Returns a fit score (0-100), band label, and plain-English explanation.", "version": "0.1.0" }, "paths": { "/": { "get": { "summary": "Score a lead against an ICP", "description": "Score a single lead object against an Ideal Customer Profile description. Returns a fit score, band label, summary, and confidence. Supports BYOK via X-OpenRouter-Key header.", "operationId": "scoreLead", "parameters": [ { "name": "lead", "in": "query", "description": "Lead object as a JSON string (e.g. `{\"company\":\"Acme\",\"title\":\"VP Engineering\"}`).", "required": true, "schema": { "type": "string", "example": "{\"company\":\"Acme Corp\",\"title\":\"VP of Engineering\",\"industry\":\"SaaS\",\"employees\":150}" } }, { "name": "icp", "in": "query", "description": "Ideal Customer Profile description in plain English.", "required": true, "schema": { "type": "string", "example": "B2B SaaS companies with 50-500 employees. Decision makers: VP or above." } }, { "name": "model", "in": "query", "description": "LLM model to use.", "required": false, "schema": { "type": "string", "default": "openrouter/auto" } } ], "responses": { "200": { "description": "Scored lead with fit score, band, and explanation.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/ScoredLead" }, "examples": { "strongFit": { "summary": "Strong ICP fit", "value": { "id": 1, "label": "VP of Engineering at Acme Corp", "score": 85, "band": "excellent", "summary": "Strong fit: VP-level decision maker at mid-size SaaS company.", "confidence": 0.9 } }, "poorFit": { "summary": "Poor ICP fit", "value": { "id": 1, "label": "Marketing Intern at MegaRetail Inc", "score": 15, "band": "poor", "summary": "Poor fit: Junior role at large retail company, does not match SaaS or seniority criteria.", "confidence": 0.85 } } } } } }, "400": { "description": "Invalid request — missing lead, invalid JSON, or missing ICP.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/Error" }, "example": { "error": "Provide 'lead' (JSON string) and 'icp' (text) query parameters." } } } }, "405": { "description": "Method not allowed — only GET is supported.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/Error" }, "example": { "error": "Method not allowed. Use GET." } } } } } } } }, "components": { "schemas": { "ScoredLead": { "type": "object", "required": ["id", "label", "score", "band", "summary", "confidence"], "properties": { "id": { "type": "integer", "description": "Row number (always 1 for single-item Standby requests)." }, "label": { "type": "string", "description": "Auto-generated lead summary." }, "score": { "type": "integer", "description": "ICP fit score from 0 to 100." }, "band": { "type": "string", "description": "Score band: excellent (80+), good (60-79), fair (40-59), poor (0-39)." }, "summary": { "type": "string", "description": "Plain-English explanation of the score." }, "confidence": { "type": "number", "description": "Data completeness confidence from 0 to 1." } } }, "Error": { "type": "object", "required": ["error"], "properties": { "error": { "type": "string", "description": "Human-readable error message." } } } } } }

{ "actorSpecification": 1, "fields": { "type": "object", "properties": { "id": { "type": "integer", "description": "Row number (1-based)" }, "input": { "type": "object", "description": "Original lead data as submitted" }, "label": { "type": "string", "description": "Auto-generated lead summary" }, "score": { "type": "integer", "description": "ICP fit score from 0 to 100" }, "band": { "type": "string", "description": "Score band: excellent, good, fair, or poor" }, "summary": { "type": "string", "description": "Plain-English explanation of the score" }, "confidence": { "type": "number", "description": "Data completeness confidence from 0 to 1" } } }, "views": { "overview": { "title": "Scored Leads", "transformation": { "fields": ["id", "label", "score", "band", "summary"] }, "display": { "component": "table", "properties": { "id": { "label": "ID", "format": "number" }, "label": { "label": "Lead", "format": "text" }, "score": { "label": "Score", "format": "number" }, "band": { "label": "Band", "format": "text" }, "summary": { "label": "Summary", "format": "text" } } } } } }

{ "title": "Superlead ICP Scorer", "description": "Paste your leads as JSON objects and describe your Ideal Customer Profile below, then click Start.", "type": "object", "schemaVersion": 1, "properties": { "leads": { "title": "Leads", "type": "array", "description": "Lead objects to score. Each lead is a JSON object with any fields (company, title, industry, employees, etc.).", "editor": "json", "prefill": [ {"company": "Acme Corp", "title": "VP of Engineering", "industry": "SaaS", "employees": 150}, {"company": "MegaRetail Inc", "title": "Marketing Intern", "industry": "Retail", "employees": 50000} ] }, "icp": { "title": "Ideal Customer Profile", "type": "string", "description": "Describe your ideal customer in plain English. Include company size, industry, job titles, geography, funding stage, or any other criteria.", "editor": "textarea", "prefill": "B2B SaaS companies with 50-500 employees. Series A to C funding. Decision makers: VP or above in Engineering or Product. North America." }, "model": { "sectionCaption": "Advanced", "title": "AI model", "type": "string", "description": "AI model for scoring. Default auto-routes for best price/performance. Set a specific model like google/gemini-2.0-flash-001 for more consistent scores. Browse models at openrouter.ai/models.", "default": "openrouter/auto", "editor": "textfield" }, "openRouterApiKey": { "title": "OpenRouter API key (bring your own)", "type": "string", "description": "Optional. Provide your own OpenRouter API key to use the direct OpenRouter API instead of the built-in Apify integration. Get your key at openrouter.ai.", "editor": "textfield", "isSecret": true }, "lead": { "title": "Lead (single)", "type": "object", "description": "Single lead object to score — shorthand for API/integration callers. If both 'lead' and 'leads' are provided, 'lead' is prepended to the list.", "editor": "json", "sectionCaption": "API shorthand", "sectionDescription": "For API and integration callers (Clay, Make, n8n) who want to pass a single lead without wrapping it in an array." } }, "required": ["icp"] }

{ "actorSpecification": 1, "name": "superlead-icp-scorer", "title": "Superlead ICP Scorer", "description": "Score leads against your Ideal Customer Profile using AI. Input: any JSON lead objects + ICP description. Output: {score 0-100, band, summary, confidence}. Batch or instant API.", "version": "0.1", "buildTag": "latest", "usesStandbyMode": true, "webServerSchema": "./web_server_openapi.json", "dockerfile": "./Dockerfile", "input": "./input_schema.json", "output": "./output_schema.json", "storages": { "dataset": "./dataset_schema.json" }, "defaultRunOptions": { "build": "latest", "memoryMbytes": 256, "timeoutSecs": 360 }, "minMemoryMbytes": 256, "maxMemoryMbytes": 1024 }

1/** 2 * LLM-based lead scoring against an Ideal Customer Profile using OpenRouter. 3 * @see https://apify.com/apify/openrouter 4 */ 5 6import { Actor, log } from 'apify'; 7import OpenAI from 'openai'; 8 9const BATCH_SIZE = 10; 10const MAX_RETRIES = 3; 11const INITIAL_RETRY_DELAY_MS = 1000; 12const DEFAULT_CONCURRENCY = 5; 13const LARGE_REQUEST_THRESHOLD = 100; 14const LARGE_REQUEST_CONCURRENCY = 10; 15const MAX_TOKENS = 2048; 16const DISTILL_THRESHOLD_BYTES = 1500; 17const MAX_DISTILLED_FIELDS = 30; 18const MAX_FIELD_LENGTH = 500; 19const MAX_413_SPLIT_DEPTH = 3; 20 21const OPENROUTER_BASE_URL = 'https://openrouter.apify.actor/api/v1'; 22const OPENROUTER_DIRECT_URL = 'https://openrouter.ai/api/v1'; 23 24/** 25 * Convert a numeric score (0-100) to a band label. 26 */ 27export function scoreToBand(score) { 28 if (score >= 80) return 'excellent'; 29 if (score >= 60) return 'good'; 30 if (score >= 40) return 'fair'; 31 return 'poor'; 32} 33 34/** 35 * Build the system prompt for ICP scoring. 36 */ 37function buildSystemPrompt(icp) { 38 return `You are scoring sales leads against an Ideal Customer Profile (ICP). 39 40ICP DESCRIPTION: 41${icp} 42 43SCORING SCALE (0-100): 44- 90-100: Perfect fit — matches all major ICP criteria 45- 70-89: Strong fit — matches most criteria, minor gaps 46- 50-69: Moderate fit — some criteria match, notable gaps 47- 30-49: Weak fit — few matching criteria 48- 0-29: Poor fit — does not match the ICP 49 50Score based on ALL available fields. If a lead has limited data, lower your confidence (not the score) — score what you can see. 51 52CONFIDENCE (0-1): 53- 0.9-1.0: Lead has rich data covering most ICP dimensions 54- 0.7-0.89: Lead has adequate data for reasonable scoring 55- 0.5-0.69: Lead has sparse data, scoring is best-guess 56- Below 0.5: Lead has minimal data, score is unreliable 57 58OUTPUT FORMAT (strict JSON, no comments): 59[{"index": 0, "score": 85, "summary": "Strong fit: VP-level at mid-size SaaS company.", "confidence": 0.9}] 60Return ONLY the JSON array with objects containing "index", "score", "summary", and "confidence" keys.`; 61} 62 63/** 64 * Noise field patterns — fields that add bulk without ICP-relevant signal. 65 * Blacklist approach: drop noise, keep everything else. 66 */ 67const NOISE_PATTERNS = [ 68 /^(id|_id|uid|uuid|key|hash|urn|slug)$/i, 69 /(_id|_key|_hash|_urn|_slug|_token)$/i, 70 /^(created|updated|modified|deleted|last_seen|last_activity|synced)(_at|_date|_time|_on)?$/i, 71 /(timestamp|_ts|_epoch)$/i, 72 /(avatar|photo|image|picture|icon|thumbnail|logo)(_url)?$/i, 73 /^(profile_url|linkedin_url|facebook_url|twitter_url|github_url|website_url|company_url)$/i, 74 /^(message|msg|note|comment|conversation|thread|chat)/i, 75 /^(original_|custom_|internal_|meta_|raw_|tmp_|temp_)/i, 76 /^(crm_|sf_|hubspot_|salesforce_|pipedrive_|zoho_)/i, 77 /^organization_(id|start_date|end_date)_\d+$/i, 78 /^position_(is_default|description)_\d+$/i, 79 /^(third_party_|provider_|source_|import_)/i, 80 /^[a-f0-9]{24,}$/i, // hex hash keys (MongoDB ObjectIds, etc.) 81]; 82 83/** 84 * Truncate a string value to max length. 85 */ 86function truncateValue(value, maxLen = MAX_FIELD_LENGTH) { 87 if (typeof value !== 'string' || value.length <= maxLen) return value; 88 return `${value.slice(0, maxLen)}...`; 89} 90 91/** 92 * Distill a lead object for LLM prompt — drops noise fields, empty values, 93 * and truncates long strings. Only affects the prompt, not the stored output. 94 */ 95function distillLead(lead) { 96 const raw = JSON.stringify(lead); 97 if (raw.length <= DISTILL_THRESHOLD_BYTES) return lead; 98 99 const distilled = {}; 100 let fieldCount = 0; 101 102 for (const [key, value] of Object.entries(lead)) { 103 if (fieldCount >= MAX_DISTILLED_FIELDS) break; 104 105 // Drop empty/null/undefined 106 if (value === null || value === undefined || value === '') continue; 107 108 // Drop noise fields 109 if (NOISE_PATTERNS.some((pattern) => pattern.test(key))) continue; 110 111 distilled[key] = truncateValue(value); 112 fieldCount++; 113 } 114 115 return distilled; 116} 117 118/** 119 * Build the user prompt for a batch of leads. 120 * Applies distillation to reduce prompt size for large/noisy leads. 121 */ 122function buildPrompt(leads) { 123 const leadList = leads.map((lead, i) => `${i}. ${JSON.stringify(distillLead(lead))}`).join('\n'); 124 125 return `Score the following ${leads.length} leads against the ICP. 126 127${leadList}`; 128} 129 130/** 131 * Attempt to repair truncated JSON arrays. 132 */ 133function repairTruncatedJson(jsonStr) { 134 try { 135 JSON.parse(jsonStr); 136 return jsonStr; 137 } catch { 138 // Continue with repair 139 } 140 141 if (!jsonStr.trimStart().startsWith('[')) { 142 return jsonStr; 143 } 144 145 let lastValidEnd = -1; 146 147 const lastCommaObj = jsonStr.lastIndexOf('},'); 148 if (lastCommaObj > 0) { 149 lastValidEnd = lastCommaObj + 1; 150 } 151 152 const lastBrace = jsonStr.lastIndexOf('}'); 153 if (lastBrace > lastValidEnd) { 154 const afterBrace = jsonStr.slice(lastBrace + 1).trim(); 155 if (afterBrace === '' || afterBrace === ']' || afterBrace.startsWith(',') || afterBrace.startsWith(']')) { 156 lastValidEnd = lastBrace; 157 } 158 } 159 160 if (lastValidEnd > 0) { 161 const repaired = `${jsonStr.slice(0, lastValidEnd + 1)}]`; 162 try { 163 JSON.parse(repaired); 164 log.debug('Repaired truncated JSON response', { 165 originalLength: jsonStr.length, 166 repairedLength: repaired.length, 167 }); 168 return repaired; 169 } catch { 170 // Repair failed 171 } 172 } 173 174 return jsonStr; 175} 176 177/** 178 * Parse the LLM response and map results back to original leads. 179 */ 180function parseResponse(content, leads) { 181 try { 182 let jsonStr = content.trim(); 183 if (jsonStr.includes('```')) { 184 jsonStr = jsonStr.replace(/```json?\n?/g, '').replace(/```/g, '').trim(); 185 } 186 187 // Strip comments 188 jsonStr = jsonStr.replace(/\/\/[^\n]*/g, ''); 189 jsonStr = jsonStr.replace(/\/\*[\s\S]*?\*\//g, ''); 190 191 jsonStr = repairTruncatedJson(jsonStr); 192 193 const parsed = JSON.parse(jsonStr); 194 195 if (!Array.isArray(parsed)) { 196 throw new Error('Response is not an array'); 197 } 198 199 return leads.map((lead, i) => { 200 const result = parsed.find((r) => r.index === i); 201 if (result) { 202 return { 203 score: clampScore(result.score), 204 summary: result.summary || '', 205 confidence: clampConfidence(result.confidence), 206 }; 207 } 208 return { 209 score: 50, 210 summary: 'Lead not found in LLM response', 211 confidence: 0.3, 212 }; 213 }); 214 } catch (error) { 215 log.warning('Failed to parse LLM response', { error: error.message, content: content.slice(0, 200) }); 216 217 return leads.map(() => ({ 218 score: 50, 219 summary: `Failed to parse LLM response: ${error.message}`, 220 confidence: 0.3, 221 })); 222 } 223} 224 225function clampScore(value) { 226 if (typeof value !== 'number' || Number.isNaN(value)) return 50; 227 return Math.max(0, Math.min(100, Math.round(value))); 228} 229 230function clampConfidence(value) { 231 if (typeof value !== 'number' || Number.isNaN(value)) return 0.5; 232 return Math.max(0, Math.min(1, value)); 233} 234 235function sleep(ms) { 236 return new Promise((resolve) => { 237 setTimeout(resolve, ms); 238 }); 239} 240 241function is413Error(error) { 242 if (error.status === 413) return true; 243 if (error.message?.includes('413') || error.message?.toLowerCase().includes('payload too large')) return true; 244 return false; 245} 246 247function isRetryableError(error) { 248 if (is413Error(error)) return false; // 413 needs splitting, not retrying 249 if (error.retryable) return true; 250 if (error.code === 'ECONNRESET' || error.code === 'ETIMEDOUT' || error.code === 'ENOTFOUND') { 251 return true; 252 } 253 if (error.status === 429 || error.status >= 500) { 254 return true; 255 } 256 if (error.message?.includes('timeout') || error.message?.includes('network')) { 257 return true; 258 } 259 return false; 260} 261 262/** 263 * Score a batch of leads with a single LLM call. 264 * On 413 (payload too large), recursively splits the batch in half. 265 */ 266async function scoreBatch(openai, model, systemPrompt, leads, splitDepth = 0) { 267 const prompt = buildPrompt(leads); 268 let lastError; 269 270 for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) { 271 try { 272 const completion = await openai.chat.completions.create({ 273 model, 274 messages: [ 275 { role: 'system', content: systemPrompt }, 276 { role: 'user', content: prompt }, 277 ], 278 temperature: 0.3, 279 max_tokens: MAX_TOKENS, 280 timeout: 60000, 281 }); 282 283 const responseContent = completion.choices[0]?.message?.content; 284 if (!responseContent) { 285 const emptyErr = new Error('Empty response from LLM'); 286 emptyErr.retryable = true; 287 throw emptyErr; 288 } 289 290 return parseResponse(responseContent, leads); 291 } catch (error) { 292 lastError = error; 293 294 // Handle 413 by splitting the batch 295 if (is413Error(error)) { 296 if (leads.length <= 1 || splitDepth >= MAX_413_SPLIT_DEPTH) { 297 log.error('Lead too large for LLM even after distillation', { 298 leadFields: Object.keys(leads[0] || {}).length, 299 promptLength: prompt.length, 300 }); 301 return leads.map(() => ({ 302 score: 0, 303 summary: 'Lead data too large to score. Try reducing the number of fields per lead.', 304 confidence: 0, 305 })); 306 } 307 308 const mid = Math.ceil(leads.length / 2); 309 log.warning(`413 payload too large — splitting batch of ${leads.length} (depth ${splitDepth + 1})`, { 310 promptLength: prompt.length, 311 }); 312 const [left, right] = await Promise.all([ 313 scoreBatch(openai, model, systemPrompt, leads.slice(0, mid), splitDepth + 1), 314 scoreBatch(openai, model, systemPrompt, leads.slice(mid), splitDepth + 1), 315 ]); 316 return [...left, ...right]; 317 } 318 319 if (attempt < MAX_RETRIES && isRetryableError(error)) { 320 const delayMs = INITIAL_RETRY_DELAY_MS * (2 ** (attempt - 1)); 321 log.warning(`LLM request failed (attempt ${attempt}/${MAX_RETRIES}), retrying in ${delayMs}ms...`, { 322 error: error.message, 323 }); 324 await sleep(delayMs); 325 } else if (attempt < MAX_RETRIES) { 326 log.error('LLM request failed with non-retryable error', { error: error.message }); 327 break; 328 } 329 } 330 } 331 332 const errorMessage = lastError?.message || 'Unknown error'; 333 log.error('LLM request failed after all retries', { error: errorMessage }); 334 await Actor.fail(`LLM service unavailable: ${errorMessage}. Please try again later or contact the developer.`); 335} 336 337/** 338 * Create a scorer instance configured with OpenRouter. 339 * @param {string} model - OpenRouter model to use 340 * @param {string} icp - Ideal Customer Profile description 341 * @param {string|null} openRouterApiKey - Optional BYOK key 342 * @returns {Object} Scorer with score() method 343 */ 344export function createScorer(model, icp, openRouterApiKey = null) { 345 let openai; 346 347 if (openRouterApiKey) { 348 log.info('Using direct OpenRouter API (bring your own key)'); 349 openai = new OpenAI({ 350 baseURL: OPENROUTER_DIRECT_URL, 351 apiKey: openRouterApiKey, 352 timeout: 120_000, 353 }); 354 } else { 355 const apifyToken = process.env.APIFY_TOKEN; 356 if (!apifyToken) { 357 throw new Error('APIFY_TOKEN environment variable is required for OpenRouter access'); 358 } 359 openai = new OpenAI({ 360 baseURL: OPENROUTER_BASE_URL, 361 apiKey: 'apify-openrouter', 362 timeout: 120_000, 363 defaultHeaders: { 364 Authorization: `Bearer ${apifyToken}`, 365 }, 366 }); 367 } 368 369 const systemPrompt = buildSystemPrompt(icp); 370 371 return { 372 /** 373 * Score an array of lead objects against the ICP. 374 * @param {Array<Object>} leads - Lead objects to score 375 * @returns {Promise<Array>} Array of {score, summary, confidence} results 376 */ 377 async score(leads) { 378 const batches = []; 379 for (let i = 0; i < leads.length; i += BATCH_SIZE) { 380 batches.push({ 381 leads: leads.slice(i, i + BATCH_SIZE), 382 startIndex: i, 383 }); 384 } 385 386 const totalBatches = batches.length; 387 const concurrency = leads.length >= LARGE_REQUEST_THRESHOLD 388 ? LARGE_REQUEST_CONCURRENCY 389 : DEFAULT_CONCURRENCY; 390 391 log.info(`Scoring ${leads.length} leads in ${totalBatches} batches (concurrency: ${concurrency})`); 392 393 const results = new Array(leads.length); 394 for (let i = 0; i < batches.length; i += concurrency) { 395 const chunk = batches.slice(i, i + concurrency); 396 const chunkStart = i + 1; 397 const chunkEnd = Math.min(i + concurrency, totalBatches); 398 399 log.info(`Processing batches ${chunkStart}-${chunkEnd}/${totalBatches}`); 400 401 const chunkResults = await Promise.all( 402 chunk.map((batch) => scoreBatch(openai, model, systemPrompt, batch.leads)), 403 ); 404 405 chunk.forEach((batch, idx) => { 406 const batchResults = chunkResults[idx]; 407 batchResults.forEach((result, resultIdx) => { 408 results[batch.startIndex + resultIdx] = result; 409 }); 410 }); 411 } 412 413 return results; 414 }, 415 }; 416}

1/** 2 * Superlead ICP Scorer 3 * 4 * Score leads against your Ideal Customer Profile using AI. 5 * Returns fit scores (0-100), band labels, and plain-English explanations. 6 */ 7 8import http from 'node:http'; 9import { Actor, log } from 'apify'; 10 11import { createScorer, scoreToBand } from './scorer.js'; 12 13const PPE_EVENT = 'icp-score'; 14 15/** 16 * Normalize flexible lead input formats. 17 * Accepts: [{...}], [{input: {...}}], or [[{...}, {...}]] (nested arrays flattened one level) 18 * Returns: [{...}] 19 */ 20function normalizeLeads(leads) { 21 return leads.flatMap((lead) => { 22 if (Array.isArray(lead)) { 23 log.warning(`Flattening nested array of ${lead.length} leads`); 24 return lead.filter((item) => item && typeof item === 'object' && !Array.isArray(item)); 25 } 26 if (lead && typeof lead === 'object' && 'input' in lead && typeof lead.input === 'object') { 27 return lead.input; 28 } 29 if (lead && typeof lead === 'object') return lead; 30 return []; 31 }).filter(Boolean); 32} 33 34/** 35 * Auto-generate a human-readable label from a lead's fields. 36 */ 37function generateLabel(lead) { 38 const name = lead.name || lead.fullName || [lead.firstName, lead.lastName].filter(Boolean).join(' ') || null; 39 const title = lead.title || lead.jobTitle || lead.position || null; 40 const company = lead.company || lead.companyName || lead.organization || null; 41 42 const parts = []; 43 if (name && title) { 44 parts.push(`${name}, ${title}`); 45 } else if (name || title) { 46 parts.push(name || title); 47 } 48 if (company) { 49 parts.push(parts.length > 0 ? `at ${company}` : company); 50 } 51 return parts.join(' ') || JSON.stringify(lead).slice(0, 80); 52} 53 54await Actor.init(); 55 56if (Actor.config.get('metaOrigin') === 'STANDBY') { 57 startStandbyServer(); 58} else { 59 await runBatchMode(); 60 await Actor.exit(); 61} 62 63// --------------------------------------------------------------------------- 64// Standby mode — HTTP server for instant single-lead scoring 65// --------------------------------------------------------------------------- 66 67function startStandbyServer() { 68 const port = Actor.config.get('containerPort'); 69 70 const server = http.createServer(async (req, res) => { 71 if (req.headers['x-apify-container-server-readiness-probe']) { 72 res.writeHead(200, { 'Content-Type': 'application/json' }); 73 res.end(JSON.stringify({ status: 'ready' })); 74 return; 75 } 76 77 if (req.method !== 'GET') { 78 res.writeHead(405, { 'Content-Type': 'application/json' }); 79 res.end(JSON.stringify({ error: 'Method not allowed. Use GET.' })); 80 return; 81 } 82 83 const reqUrl = new URL(req.url, `http://${req.headers.host}`); 84 if (!reqUrl.searchParams.get('lead') && !reqUrl.searchParams.get('icp')) { 85 res.writeHead(200, { 'Content-Type': 'text/html' }); 86 res.end(getLandingPageHtml()); 87 return; 88 } 89 90 try { 91 const result = await handleStandbyRequest(reqUrl, req); 92 await Actor.pushData(result); 93 94 // Charge PPE 95 try { 96 await Actor.charge({ eventName: PPE_EVENT, count: 1 }); 97 } catch (chargeErr) { 98 console.warn(`PPE charge failed: ${chargeErr.message}`); 99 } 100 101 res.writeHead(200, { 'Content-Type': 'application/json' }); 102 res.end(JSON.stringify(result)); 103 } catch (err) { 104 const statusCode = err.statusCode || 500; 105 res.writeHead(statusCode, { 'Content-Type': 'application/json' }); 106 res.end(JSON.stringify({ error: err.message })); 107 } 108 }); 109 110 server.listen(port, () => { 111 console.log(`Superlead ICP Scorer Standby server listening on port ${port}`); 112 }); 113} 114 115async function handleStandbyRequest(reqUrl, req) { 116 const leadParam = reqUrl.searchParams.get('lead'); 117 const icp = reqUrl.searchParams.get('icp'); 118 119 if (!leadParam) { 120 const err = new Error("Provide a 'lead' query parameter with the lead object as JSON."); 121 err.statusCode = 400; 122 throw err; 123 } 124 125 if (!icp) { 126 const err = new Error("Provide an 'icp' query parameter with your Ideal Customer Profile description."); 127 err.statusCode = 400; 128 throw err; 129 } 130 131 let lead; 132 try { 133 lead = JSON.parse(leadParam); 134 } catch { 135 const err = new Error("Invalid JSON in 'lead' parameter. Provide a valid JSON object."); 136 err.statusCode = 400; 137 throw err; 138 } 139 140 if (!lead || typeof lead !== 'object' || Array.isArray(lead)) { 141 const err = new Error("'lead' must be a JSON object (not an array or primitive)."); 142 err.statusCode = 400; 143 throw err; 144 } 145 146 const model = reqUrl.searchParams.get('model') || 'openrouter/auto'; 147 const openRouterApiKey = req.headers['x-openrouter-key'] || null; 148 149 const scorer = createScorer(model, icp, openRouterApiKey); 150 const results = await scorer.score([lead]); 151 152 if (results.length === 0) { 153 return { id: 1, label: generateLabel(lead), score: 50, band: 'fair', summary: 'Unable to score lead.', confidence: 0 }; 154 } 155 156 const r = results[0]; 157 return { 158 id: 1, 159 input: lead, 160 label: generateLabel(lead), 161 score: r.score, 162 band: scoreToBand(r.score), 163 summary: r.summary, 164 confidence: Math.round(r.confidence * 100) / 100, 165 }; 166} 167 168// --------------------------------------------------------------------------- 169// Batch mode — score multiple leads in a standard Actor run 170// --------------------------------------------------------------------------- 171 172async function runBatchMode() { 173 const input = await Actor.getInput(); 174 let { leads: rawLeads, lead, icp } = input || {}; 175 176 // Support single "lead" object for API/integration callers 177 if (lead && typeof lead === 'object' && !Array.isArray(lead)) { 178 if (!Array.isArray(rawLeads)) rawLeads = []; 179 rawLeads = [lead, ...rawLeads]; 180 } 181 182 // Validate ICP 183 if (!icp || typeof icp !== 'string' || !icp.trim()) { 184 await Actor.fail('Missing or invalid "icp" field. Provide a string describing your Ideal Customer Profile, e.g. "B2B SaaS companies with 50-500 employees".'); 185 return; 186 } 187 188 // Validate leads 189 if (!rawLeads || !Array.isArray(rawLeads) || rawLeads.length === 0) { 190 await Actor.fail('Missing or invalid "leads" field. Provide an array of lead objects, e.g. [{"company": "Acme Corp", "title": "VP of Engineering"}]. You can also pass a single lead via the "lead" field.'); 191 return; 192 } 193 194 const model = input.model ?? 'openrouter/auto'; 195 const openRouterApiKey = input.openRouterApiKey ?? null; 196 197 // Normalize input format 198 const leads = normalizeLeads(rawLeads); 199 200 if (leads.length === 0) { 201 await Actor.fail('No valid lead objects found after input normalization. Each item in "leads" must be a JSON object, e.g. [{"company": "Acme Corp", "title": "VP of Engineering"}].'); 202 return; 203 } 204 205 if (leads.length > 5000) { 206 await Actor.fail(`Too many leads (${leads.length}). Maximum is 5,000 per run. Split your data into smaller batches.`); 207 return; 208 } 209 210 if (leads.length > 500) { 211 log.warning(`Large batch of ${leads.length} leads — this may take several minutes.`); 212 } 213 214 log.info(`Starting ICP scoring of ${leads.length} leads`, { model }); 215 216 // Score leads 217 const scorer = createScorer(model, icp.trim(), openRouterApiKey); 218 const scoreResults = await scorer.score(leads); 219 220 // Build output 221 const results = leads.map((lead, i) => { 222 const r = scoreResults[i]; 223 return { 224 id: i + 1, 225 input: lead, 226 label: generateLabel(lead), 227 score: r.score, 228 band: scoreToBand(r.score), 229 summary: r.summary, 230 confidence: Math.round(r.confidence * 100) / 100, 231 }; 232 }); 233 234 // Push to dataset and charge PPE per item 235 let chargeLimitReached = false; 236 let chargedCount = 0; 237 for (const result of results) { 238 await Actor.pushData(result); 239 if (!chargeLimitReached) { 240 try { 241 const chargeResult = await Actor.charge({ eventName: PPE_EVENT, count: 1 }); 242 chargedCount++; 243 if (chargeResult?.eventChargeLimitReached) { 244 chargeLimitReached = true; 245 log.warning(`User spending limit reached after ${chargedCount}/${results.length} leads. Remaining leads scored but not charged.`); 246 } 247 } catch (chargeErr) { 248 console.warn(`PPE charge failed: ${chargeErr.message}`); 249 } 250 } 251 } 252 253 // Log summary 254 const avgScore = Math.round(results.reduce((sum, r) => sum + r.score, 0) / results.length); 255 const bandCounts = results.reduce((acc, r) => { acc[r.band] = (acc[r.band] || 0) + 1; return acc; }, {}); 256 257 log.info('Scoring complete', { 258 totalLeads: results.length, 259 charged: chargedCount, 260 averageScore: avgScore, 261 bands: bandCounts, 262 }); 263} 264 265// --------------------------------------------------------------------------- 266// Landing page HTML for Standby mode 267// --------------------------------------------------------------------------- 268 269function getLandingPageHtml() { 270 return `<!DOCTYPE html> 271<html lang="en"> 272<head> 273<meta charset="utf-8"> 274<meta name="viewport" content="width=device-width, initial-scale=1"> 275<title>Superlead ICP Scorer — Superlative</title> 276<link rel="preconnect" href="https://fonts.googleapis.com"> 277<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> 278<link href="https://fonts.googleapis.com/css2?family=DM+Sans:wght@400;500;700&family=Space+Mono:wght@400;700&display=swap" rel="stylesheet"> 279<style> 280:root{--color-bg:#0a0e14;--color-surface:#12171f;--color-border:#1e2632;--color-text:#e8eaed;--color-text-muted:#8b95a5;--color-accent:#60a5fa;--color-accent-dim:rgba(96,165,250,0.15);--font-display:'Space Mono',monospace;--font-body:'DM Sans',sans-serif} 281*{margin:0;padding:0;box-sizing:border-box} 282body{font-family:var(--font-body);background:var(--color-bg);color:var(--color-text);line-height:1.6;min-height:100vh;overflow-x:hidden} 283a{color:var(--color-accent);text-decoration:none;transition:color .2s ease} 284a:hover{color:#93c5fd} 285.grid-bg{position:fixed;top:0;left:0;width:100%;height:100%;background-image:linear-gradient(var(--color-border) 1px,transparent 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293.logo-mark{width:28px;height:28px;background:var(--color-accent);display:flex;align-items:center;justify-content:center} 294.logo-mark svg{width:16px;height:16px} 295.hero{padding:80px 0 60px;animation:fadeUp .8s ease-out} 296.hero-label{font-family:var(--font-display);font-size:12px;font-weight:400;letter-spacing:.15em;text-transform:uppercase;color:var(--color-accent);margin-bottom:24px;display:flex;align-items:center;gap:12px} 297.hero-label::before{content:'';width:24px;height:1px;background:var(--color-accent)} 298h1{font-family:var(--font-display);font-size:clamp(28px,5vw,44px);font-weight:700;line-height:1.15;margin-bottom:20px;letter-spacing:-.02em} 299h1 .highlight{color:var(--color-accent)} 300.hero-desc{font-size:18px;color:var(--color-text-muted);max-width:540px;margin-bottom:28px;line-height:1.7} 301.hero-link{font-family:var(--font-display);font-size:13px;letter-spacing:.05em;color:var(--color-accent);display:inline-flex;align-items:center;gap:6px} 302.section{padding:60px 0;border-top:1px solid var(--color-border);animation:fadeUp .8s ease-out .2s backwards} 303.section-label{font-family:var(--font-display);font-size:11px;font-weight:400;letter-spacing:.2em;text-transform:uppercase;color:var(--color-text-muted);margin-bottom:24px} 304h2{font-family:var(--font-display);font-size:20px;font-weight:700;margin-bottom:16px;letter-spacing:-.01em} 305p,li{font-size:15px;color:var(--color-text-muted);line-height:1.7} 306li{margin-bottom:6px} 307ul{margin:.5rem 0 1rem 1.25rem} 308strong{color:var(--color-text);font-weight:600} 309pre{background:var(--color-surface);color:var(--color-text);padding:16px 20px;overflow-x:auto;margin:12px 0 16px;font-family:var(--font-display);font-size:13px;line-height:1.6;border:1px solid var(--color-border)} 310code{font-family:var(--font-display);font-size:13px} 311p code,li code,td code{background:var(--color-accent-dim);color:var(--color-accent);padding:2px 6px} 312table{width:100%;border-collapse:collapse;margin:12px 0 16px;font-size:14px} 313th,td{border:1px solid var(--color-border);padding:10px 14px;text-align:left} 314th{background:var(--color-surface);color:var(--color-text-muted);font-family:var(--font-display);font-size:12px;font-weight:400;letter-spacing:.05em;text-transform:uppercase} 315td{color:var(--color-text-muted)} 316.badge{display:inline-block;background:var(--color-accent-dim);color:var(--color-accent);padding:3px 8px;font-family:var(--font-display);font-size:11px;font-weight:400;letter-spacing:.05em} 317.note{font-size:13px;color:var(--color-text-muted);margin-top:8px} 318.product-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(240px,1fr));gap:16px;margin-top:24px} 319.product-card{background:var(--color-surface);border:1px solid var(--color-border);padding:24px;transition:all .3s ease;text-decoration:none;color:inherit;display:block} 320.product-card:hover{border-color:var(--color-accent);transform:translateY(-2px)} 321.product-name{font-family:var(--font-display);font-size:14px;font-weight:700;margin-bottom:8px;color:var(--color-text);display:flex;align-items:center;gap:8px} 322.product-name .status{font-size:9px;font-weight:400;padding:3px 6px;background:var(--color-accent-dim);color:var(--color-accent);letter-spacing:.1em} 323.product-desc{font-size:14px;color:var(--color-text-muted);line-height:1.5} 324footer{padding:48px 0;border-top:1px solid var(--color-border)} 325.footer-content{display:flex;justify-content:space-between;align-items:center;flex-wrap:wrap;gap:24px} 326.footer-text{font-size:13px;color:var(--color-text-muted)} 327.footer-links{display:flex;gap:24px} 328.footer-links a{font-family:var(--font-display);font-size:12px;color:var(--color-text-muted);letter-spacing:.05em} 329.footer-links a:hover{color:var(--color-accent)} 330@media(max-width:600px){.hero{padding:60px 0 40px}.section{padding:40px 0}.footer-content{flex-direction:column;align-items:flex-start}pre{font-size:12px;padding:12px 14px}} 331</style> 332</head> 333<body> 334<div class="grid-bg"></div> 335<div class="accent-line"></div> 336 337<div class="container"> 338 <header> 339 <a href="https://apify.com/superlativetech?fpr=8e9l1" class="logo"> 340 <div class="logo-mark"> 341 <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5"> 342 <polyline points="4 17 10 11 4 5"></polyline> 343 <line x1="12" y1="19" x2="20" y2="19"></line> 344 </svg> 345 </div> 346 Superlative 347 </a> 348 </header> 349 350 <section class="hero"> 351 <div class="hero-label">Superlead</div> 352 <h1>ICP <span class="highlight">Scorer</span></h1> 353 <p class="hero-desc">AI-powered lead scoring against your Ideal Customer Profile. Get fit scores, band labels, and plain-English explanations for every lead. Sub-second responses via Standby API.</p> 354 <a href="https://apify.com/superlativetech/superlead-icp-scorer?fpr=8e9l1" class="hero-link">View on Apify Store →</a> 355 </section> 356 357 <section class="section"> 358 <div class="section-label">Features</div> 359 <h2>What this does</h2> 360 <ul> 361 <li><strong>AI-powered scoring</strong> — LLM evaluates every lead against your ICP description</li> 362 <li><strong>Fit scores (0-100)</strong> — Excellent, good, fair, or poor band labels</li> 363 <li><strong>Plain-English summaries</strong> — Explains why each lead scored the way it did</li> 364 <li><strong>Any lead format</strong> — Works with any JSON fields (company, title, industry, etc.)</li> 365 <li><strong>BYOK support</strong> — Use your own OpenRouter API key via header</li> 366 <li><strong>Batch mode</strong> — Score hundreds of leads via the standard Actor run</li> 367 </ul> 368 </section> 369 370 <section class="section"> 371 <div class="section-label">Getting Started</div> 372 <h2>Quick start</h2> 373 <p>Replace <code>YOUR_TOKEN</code> with your Apify API token.</p> 374 375 <p style="margin-top:16px"><strong>Score a single lead:</strong></p> 376 <pre>curl "https://superlativetech--superlead-icp-scorer.apify.actor?token=YOUR_TOKEN&lead=%7B%22company%22%3A%22Acme%22%2C%22title%22%3A%22VP+Engineering%22%7D&icp=B2B+SaaS+50-500+employees"</pre> 377 378 <p><strong>With your own OpenRouter key:</strong></p> 379 <pre>curl -H "X-OpenRouter-Key: sk-or-..." "https://superlativetech--superlead-icp-scorer.apify.actor?token=YOUR_TOKEN&lead=%7B%22company%22%3A%22Acme%22%7D&icp=B2B+SaaS"</pre> 380 </section> 381 382 <section class="section"> 383 <div class="section-label">Reference</div> 384 <h2>Query parameters</h2> 385 <table> 386 <tr><th>Parameter</th><th>Required</th><th>Description</th></tr> 387 <tr><td><code>lead</code></td><td>Yes</td><td>Lead object as JSON string</td></tr> 388 <tr><td><code>icp</code></td><td>Yes</td><td>Ideal Customer Profile description (plain text)</td></tr> 389 <tr><td><code>model</code></td><td>No</td><td>LLM model (default: <code>openrouter/auto</code>)</td></tr> 390 <tr><td><code>token</code></td><td>Yes</td><td>Your Apify API token</td></tr> 391 </table> 392 <h2 style="margin-top:24px">Headers</h2> 393 <table> 394 <tr><th>Header</th><th>Required</th><th>Description</th></tr> 395 <tr><td><code>X-OpenRouter-Key</code></td><td>No</td><td>Your OpenRouter API key for BYOK (keeps secrets out of URL logs)</td></tr> 396 </table> 397 </section> 398 399 <section class="section"> 400 <div class="section-label">Response</div> 401 <h2>Response format</h2> 402 <pre>{ 403 "id": 1, 404 "input": {"company": "Acme Corp", "title": "VP of Engineering"}, 405 "label": "VP of Engineering at Acme Corp", 406 "score": 85, 407 "band": "excellent", 408 "summary": "Strong fit: VP-level decision maker at mid-size SaaS company.", 409 "confidence": 0.9 410}</pre> 411 </section> 412 413 <section class="section"> 414 <div class="section-label">Scoring</div> 415 <h2>Score bands</h2> 416 <table> 417 <tr><th>Band</th><th>Score Range</th><th>Meaning</th></tr> 418 <tr><td><span class="badge">Excellent</span></td><td>80-100</td><td>Strong ICP match — prioritize for outreach</td></tr> 419 <tr><td><span class="badge">Good</span></td><td>60-79</td><td>Solid fit with minor gaps</td></tr> 420 <tr><td><span class="badge">Fair</span></td><td>40-59</td><td>Partial fit — worth reviewing</td></tr> 421 <tr><td><span class="badge">Poor</span></td><td>0-39</td><td>Does not match ICP</td></tr> 422 </table> 423 </section> 424 425 <section class="section"> 426 <div class="section-label">Cost</div> 427 <h2>Pricing</h2> 428 <p>Pay-per-event pricing on the Apify platform:</p> 429 <table> 430 <tr><th>Tier</th><th>Leads</th><th>Per 1,000</th></tr> 431 <tr><td>Base</td><td>Any</td><td>$1.00</td></tr> 432 <tr><td><span class="badge">Bronze</span></td><td>100+</td><td>$0.90</td></tr> 433 <tr><td><span class="badge">Silver</span></td><td>1,000+</td><td>$0.80</td></tr> 434 <tr><td><span class="badge">Gold</span></td><td>10,000+</td><td>$0.70</td></tr> 435 </table> 436 </section> 437 438 <section class="section"> 439 <div class="section-label">Auth</div> 440 <h2>Authentication</h2> 441 <p>Authenticate using either method:</p> 442 <ul> 443 <li>Query parameter: <code>?token=YOUR_APIFY_TOKEN</code></li> 444 <li>Header: <code>Authorization: Bearer YOUR_APIFY_TOKEN</code></li> 445 </ul> 446 <p style="margin-top:8px">Get your token from <a href="https://console.apify.com/settings/integrations">Apify Console → Settings → Integrations</a>.</p> 447 </section> 448 449 <section class="section"> 450 <div class="section-label">Superlative</div> 451 <h2>More from Superlative</h2> 452 <div class="product-grid"> 453 <a href="https://apify.com/superlativetech/superclean-company-names?fpr=8e9l1" class="product-card"> 454 <div class="product-name">Company Names <span class="status">Live</span></div> 455 <p class="product-desc">Clean company names for cold email and CRM.</p> 456 </a> 457 <a href="https://apify.com/superlativetech/superclean-job-titles?fpr=8e9l1" class="product-card"> 458 <div class="product-name">Job Titles <span class="status">Live</span></div> 459 <p class="product-desc">Standardize job titles for outreach sequences.</p> 460 </a> 461 <a href="https://apify.com/superlativetech/superclean-person-names?fpr=8e9l1" class="product-card"> 462 <div class="product-name">Person Names <span class="status">Live</span></div> 463 <p class="product-desc">Clean and format person names for personalization.</p> 464 </a> 465 <a href="https://apify.com/superlativetech/superclean-product-names?fpr=8e9l1" class="product-card"> 466 <div class="product-name">Product Names <span class="status">Live</span></div> 467 <p class="product-desc">Normalize product and brand names from exports.</p> 468 </a> 469 <a href="https://apify.com/superlativetech/supernet-domain-health?fpr=8e9l1" class="product-card"> 470 <div class="product-name">Domain Health <span class="status">Live</span></div> 471 <p class="product-desc">Check email deliverability and domain reputation.</p> 472 </a> 473 <a href="https://apify.com/superlativetech/dns-lookup?fpr=8e9l1" class="product-card"> 474 <div class="product-name">DNS Lookup <span class="status">Live</span></div> 475 <p class="product-desc">Look up DNS records for any domain.</p> 476 </a> 477 </div> 478 </section> 479 480 <footer> 481 <div class="footer-content"> 482 <p class="footer-text">© 2026 Superlative</p> 483 <div class="footer-links"> 484 <a href="https://apify.com/superlativetech?fpr=8e9l1">Apify Store</a> 485 </div> 486 </div> 487 </footer> 488</div> 489 490</body> 491</html>`; 492}