Decision table
| Your goal | Use this | Why |
|---|---|---|
| Research one company, person, team, or business question | POST /research | Agent selects sources, gathers context, synthesizes an answer |
| Build a list of companies matching ICP filters | POST /company-search | Structured filters, pagination, per-result pricing |
| Find people across companies or at one employer | POST /person-search | Title, employer, skills, location filters |
| Get one field you already know you need (email, tech stack, jobs) | Direct enrichment endpoint | Cheaper and faster than routing through /research |
| Scrape or analyze a specific public page | POST /page-scrape or POST /page-analyze | Deterministic URL in, structured content out |
| Let an AI agent in your editor call Huntr | Huntr MCP | Tools for research, search, and enrichment |
The one-entity rule for /research
/research is optimized for one primary target and one decision:
- Account brief before a meeting
- Buyer research on a person or small team
- Competitive or diligence question with a clear scope
- Buying-signal investigation with a date range
- “Find 200 CTOs and their emails”
- “Enrich every row in this CSV”
- Multi-company list building with per-row paid enrichment
Company-first vs person-first
Most outbound workflows are company-first:- Find accounts that match your ICP (
/company-search). - Find people at those accounts (
/person-searchwithcurrentCompanyWebsite). - Enrich contacts (
/person-email,/person-linkedin).
/research when you need synthesis across sources — not just raw fields — for a single account or buyer.
Sync vs async research
| Mode | How | When |
|---|---|---|
| Sync (default) | POST /research returns 200 with the result | Most requests complete in seconds |
| Async | Add callback_url; API returns 202 immediately | Long-running deep research, webhook-driven pipelines |
GET /research/{request_id}/status or wait for the callback POST.
Next step
- Research vs direct endpoints — deeper comparison
- Research Agent guide — write better prompts
- Company search guide — list-building patterns