Skill: rxhxm/sixtyfour-skill (version 1.0.0)

--- name: sixtyfour description: "People and company intelligence via the Sixtyfour AI API. AI research agents that read the live web — not static databases — to return structured, confidence-scored profiles. Use when you need to: (1) enrich a lead with full profile data (name, title, email, phone, LinkedIn, tech stack, funding, pain points — up to 50 custom fields), (2) research a company (team size, tech stack, funding rounds, hiring signals, key people), (3) find someone's professional or personal email address, (4) find phone numbers, (5) score/qualify leads against custom criteria with reasoning, (6) search for people or companies via natural language query, or (7) run batch enrichment workflows via API. NOT for: general web browsing, tasks unrelated to people/company data, or non-enrichment research." --- # Sixtyfour AI — People & Company Intelligence AI research agents that investigate people and companies across the live web, returning structured, confidence-scored data. 93% accuracy — benchmarked against Clay (66%), Apollo (72%), and ZoomInfo. **Base URL:** `https://api.sixtyfour.ai` **Auth header:** `x-[REDACTED_SECRET]` (all requests) **Free tier:** 50 deep researches on signup — [app.sixtyfour.ai](https://app.sixtyfour.ai) (Google sign-in, API key available immediately) **Docs:** [docs.sixtyfour.ai](https://docs.sixtyfour.ai) **OpenAPI spec:** [api.sixtyfour.ai/openapi.json](https://api.sixtyfour.ai/openapi.json) ## Setup ```bash # 1. Sign up at https://app.sixtyfour.ai (Google sign-in) # 2. Sidebar → Keys → Create new key export SIXTYFOUR_API_KEY="your_key_here" ``` ## API Quick Reference | Endpoint | Method | Description | Sync/Async | |----------|--------|-------------|------------| | `/enrich-lead` | POST | Full person profile from name + company | Both | | `/enrich-company` | POST | Deep company research + people discovery | Both | | `/find-email` | POST | Professional ($0.05) or personal ($0.20) email | Both | | `/find-phone` | POST | Phone number discovery | Both | | `/qa-agent` | POST | Score/qualify leads against custom criteria | Both | | `/search/start-deep-search` | POST | Find people/companies via natural language | Async | | `/search/start-filter-search` | POST | Structured filter search (skips LLM parsing) | Sync | | `/workflows/run` | POST | Execute batch enrichment pipelines | Async | All enrichment endpoints have async variants (append `-async`) returning `task_id` for polling via `GET /job-status/{task_id}`. Use async for production workloads. --- ## Enrich Lead The core endpoint. Give it a name — get back a full profile with any fields you define. ```bash curl -X POST "https://api.sixtyfour.ai/enrich-lead" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "lead_info": { "name": "Jane Doe", "company": "Acme Corp" }, "struct": { "full_name": "Full name", "title": "Current job title", "seniority": "Seniority level (C-suite, VP, Director, Manager, IC)", "department": "Department or function", "email": "Work email address", "personal_email": "Personal email address", "phone": "Phone number", "linkedin": "LinkedIn profile URL", "location": "City and state", "company_name": "Current company", "company_size": {"description": "Approximate employee count", "type": "int"}, "tech_stack": {"description": "Tools and technologies they use daily", "type": "list[str]"}, "funding_stage": "Company latest funding stage and amount", "pain_points": {"description": "Likely challenges based on role and company stage", "type": "list[str]"}, "social_profiles": {"description": "Twitter, GitHub, personal blog URLs", "type": "list[str]"}, "recent_activity": "Notable recent posts, talks, or job changes" }, "research_plan": "Check LinkedIn profile, company website about page, Twitter, GitHub, and any recent conference talks or blog posts." }' ``` ### Response ```json { "structured_data": { "full_name": "Jane Doe", "title": "VP of Engineering", "seniority": "VP", "department": "Engineering", "email": "[REDACTED_SECRET]", "phone": "+1-555-0123", "linkedin": "https://linkedin.com/in/janedoe", "tech_stack": ["React", "Python", "AWS", "Terraform"], "funding_stage": "Series B, $45M (2025)", "pain_points": ["Scaling engineering team post-Series B", "Migrating legacy infrastructure"] }, "notes": "Research narrative with sources...", "references": { "https://linkedin.com/in/janedoe": "LinkedIn profile", "https://acme.com/about": "Company about page" }, "confidence_score": 9.2 } ``` ### Key Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `lead_info` | object | Yes | Known data: `name`, `company`, `linkedin_url`, `email`, `domain`, etc. | | `struct` | object | Yes | Fields to collect. Value is either a plain-English description string or `{"description": "...", "type": "str\|int\|float\|bool\|list[str]\|dict"}` | | `research_plan` | string | No | Guides where the agent looks — specific sources, methodology | **Timeouts:** P95 ~5 min, max ~10 min. Set client timeout to 15+ min or use `/enrich-lead-async`. --- ## Enrich Company Deep company research with optional people discovery. ```bash curl -X POST "https://api.sixtyfour.ai/enrich-company" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "target_company": { "company_name": "Stripe", "website": "stripe.com" }, "struct": { "description": "One-line company description", "employee_count": {"description": "Approximate headcount", "type": "int"}, "tech_stack": {"description": "Key technologies used", "type": "list[str]"}, "recent_funding": "Most recent funding round, amount, and date", "hiring_signals": {"description": "Open roles indicating growth areas", "type": "list[str]"}, "competitors": {"description": "Main competitors", "type": "list[str]"} }, "find_people": true, "people_focus_prompt": "Find the VP of Engineering and CTO", "lead_struct": { "name": "Full name", "title": "Job title", "linkedin": "LinkedIn URL", "email": "Work email" } }' ``` ### People Discovery Parameters | Parameter | Type | Description | |-----------|------|-------------| | `find_people` | bool | Enable people discovery at the company | | `people_focus_prompt` | string | Describe who to find (role, department, seniority) | | `lead_struct` | object | Fields to return per person found (same format as `struct`) | Each person returned includes a `score` (0-10) for relevance to `people_focus_prompt`. --- ## Find Email ```bash # Professional email ($0.05 per call) curl -X POST "https://api.sixtyfour.ai/find-email" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "lead": {"name": "Saarth Shah", "company": "Sixtyfour AI"}, "mode": "PROFESSIONAL" }' ``` **Response:** `{"email": [["[REDACTED_SECRET]", "OK", "COMPANY"]], "cost_cents": 5}` ```bash # Personal email ($0.20 per call) curl -X POST "https://api.sixtyfour.ai/find-email" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "lead": {"name": "Jane Doe", "company": "Acme Corp"}, "mode": "PERSONAL" }' ``` **Email field format:** `[["[REDACTED_SECRET]", "OK|UNKNOWN", "COMPANY|PERSONAL"]]` **Bulk:** Use `/find-email-bulk-async` with `{"leads": [...]}` for up to 100 leads. --- ## Find Phone ```bash curl -X POST "https://api.sixtyfour.ai/find-phone" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "lead": { "name": "John Doe", "company": "Example Corp", "linkedin_url": "https://linkedin.com/in/johndoe" } }' ``` Provide as much context as possible (name, company, LinkedIn, email, domain) for best hit rate. **Bulk:** Use `/find-phone-bulk-async` for up to 100 leads, or `/enrich-dataframe` with CSV: ```bash curl -X POST "https://api.sixtyfour.ai/enrich-dataframe" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{"csv_data": "name,company\nJohn Doe,Example Corp", "enrichment_type": "phone"}' ``` --- ## QA Agent — Score & Qualify Leads Evaluate enriched data against custom criteria. Returns scores and reasoning. ```bash curl -X POST "https://api.sixtyfour.ai/qa-agent" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "data": { "name": "Alex Johnson", "title": "VP Engineering", "company": "TechStartup", "funding": "Series B", "tech_stack": ["React", "AWS", "PostgreSQL"] }, "qualification_criteria": [ {"criteria_name": "Seniority", "description": "VP level or above", "weight": 10.0, "threshold": 8.0}, {"criteria_name": "Company Stage", "description": "Series A-C, actively growing", "weight": 8.0}, {"criteria_name": "Tech Fit", "description": "Uses modern web stack", "weight": 6.0} ], "struct": { "overall_score": {"description": "Composite score 0-10", "type": "float"}, "verdict": "ACCEPT or REJECT", "reasoning": "Why this lead does or does not qualify" } }' ``` Optional: add `"references": [{"url": "https://...", "description": "Company blog"}]` for additional context. --- ## Search — Find People or Companies ### Deep Search (natural language, async) ```bash # Start search curl -X POST "https://api.sixtyfour.ai/search/start-deep-search" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{"query": "VP of Engineering at Series B SaaS startups in New York", "max_results": 100}' # Returns: {"task_id": "abc123", "status": "queued"} # Poll (every 10-15s) curl "https://api.sixtyfour.ai/search/deep-search-status/abc123" \ -H "x-[REDACTED_SECRET]" # Download results (when status = "completed", use resource_handle_id) curl "https://api.sixtyfour.ai/search/download?resource_handle_id=xyz789" \ -H "x-[REDACTED_SECRET]" # Returns signed URL (expires 15 min) → CSV download ``` ### Filter Search (structured, synchronous) ```bash curl -X POST "https://api.sixtyfour.ai/search/start-filter-search" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{"filters": {"title": "VP Engineering", "location": "New York", "company_size": "50-200"}}' # Returns: {"resource_handle_id": "...", "total_results": 150, "exported_count": 150} ``` --- ## Workflows — Batch Enrichment Pipelines Chain blocks into reusable pipelines. Trigger via API with webhook payloads. ```bash # List available workflow blocks curl "https://api.sixtyfour.ai/workflows/blocks" \ -H "x-[REDACTED_SECRET]" # Run a workflow (webhook-triggered) curl -X POST "https://api.sixtyfour.ai/workflows/run?workflow_id=YOUR_WORKFLOW_ID" \ -H "x-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{"webhook_payload": [{"company_name": "Acme", "website": "acme.com"}]}' # Monitor progress (poll every 5-10s) curl "https://api.sixtyfour.ai/workflows/runs/RUN_ID/live_status" \ -H "x-[REDACTED_SECRET]" # Download results curl "https://api.sixtyfour.ai/workflows/runs/RUN_ID/results/download-links" \ -H "x-[REDACTED_SECRET]" ``` Block types: `webhook`, `read_csv`, `enrich_company`, `enrich_lead`, `find_email`, `find_phone`, `qa_agent` Manage workflows: `GET /workflows` (list), `POST /workflows/create_workflow`, `POST /workflows/update_workflow`, `POST /workflows/delete_workflow` --- ## Webhooks — Async Notifications Add `"webhook_url"` to any async request body: ```json {"lead_info": {...}, "struct": {...}, "webhook_url": "https://your-server.com/hook"} ``` Sixtyfour POSTs `{task_id, status, task_type, result}` on completion. 5 retries with exponential backoff. --- ## Common Patterns **Signup enrichment:** New user email → `/enrich-lead` with role, tech stack, funding fields → push to CRM **CRM backfill:** Export contacts → `/enrich-lead-async` in parallel → poll → download enriched data **Lead scoring pipeline:** `/enrich-lead` → `/qa-agent` with custom ICP criteria → route by verdict **Prospect list building:** `/search/start-deep-search` with ICP description → CSV → `/find-email` per lead **Account intelligence:** `/enrich-company` with `find_people: true` → weekly Slack digest of changes --- ## Error Handling & Rate Limits - **Rate limit:** 500 requests/min per API key - **Errors:** `{"error": "ErrorType", "message": "Details"}` - **HTTP codes:** 400 (bad request), 401 (invalid key), 429 (rate limited), 500 (retry) - **Async polling:** Use `GET /job-status/{task_id}` — statuses: `pending` → `processing` → `completed` | `failed` --- ## MCP Server For Claude Desktop, Cursor, Windsurf, or any MCP client: ```json { "mcpServers": { "sixtyfour": { "command": "npx", "args": ["-y", "sixtyfour-mcp"], "env": {"SIXTYFOUR_API_KEY": "your_key"} } } } ``` Then ask naturally: "Find the email and phone number for the CTO of Stripe" — the assistant calls Sixtyfour automatically. --- **Support:** [REDACTED_SECRET] | [docs.sixtyfour.ai](https://docs.sixtyfour.ai) | [app.sixtyfour.ai](https://app.sixtyfour.ai)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)