AI GTM research API
GTM research your system can call.
Huntr runs AI-powered research for go-to-market workflows: company context, lead research, buying signals, CRM notes, and outbound prep. Use it when your workflow needs a researched answer, not just raw search results.
Why GTM teams need a research API
Most GTM stacks already have databases, sequencers, CRMs, and automation tools. The missing layer is judgment-oriented research: the part where someone checks what the account does, why it matters now, what signal is real, and how that context should change the next action.
| Layer | What it gives you | What is still missing |
|---|---|---|
| Data provider | Known fields and enrichment | Interpretation and sales relevance |
| CRM | Records, ownership, pipeline state | External account context |
| Sequencer | Campaign execution | Research before enrollment |
| Huntr | Prompt-based research output | Your workflow decides how to use it |
One endpoint, many GTM questions
curl https://api.tryhuntr.com/research \
-H "x-api-key: hntr_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"tier": "standard",
"prompt": "Research Figma for GTM planning. Return company context, recent signals, likely buyer priorities, and recommended outbound angles."
}'What your GTM workflow receives
Company context
What the company does, who it serves, how it positions itself, and what may matter to a seller, operator, or internal agent.
Lead context
Role-level research that explains why a specific person may care about a workflow, problem, or buying motion.
Buying signals
Recent public context such as launches, hiring, expansion, funding, partnerships, or other signals worth reviewing.
Decision support
Concise notes, risk flags, fit evidence, outbound angles, and CRM-ready summaries for human or system review.
Representative output modes
{
"account_context": "What the company does and why it may fit the workflow.",
"lead_context": "Why this role may care and what responsibilities are likely relevant.",
"signals": ["public signal with business relevance", "another signal worth human review"],
"recommended_action": "Enroll, review manually, enrich further, or skip.",
"message_angle": "A concise angle grounded in the research.",
"risk_notes": "What should not be claimed without confirmation."
}Where it belongs in the GTM stack
Outbound systems
Run research before a lead enters Aimfox, Smartlead, Instantly, Apollo, or a custom sequence builder.
CRM and RevOps workflows
Write account notes, qualification context, and buyer signals into CRM fields, review queues, or routing logic.
Agency operations
Standardize research across clients so campaign teams do not rebuild the same manual process every launch.
Internal AI agents
Give assistants and automation tools a research endpoint they can call when they need external GTM context.
Prompt library
When not to use an AI GTM research API
Raw search results are enough
If the workflow only needs links or snippets, use a search API. Huntr is for synthesized research output.
You need deterministic fixed fields only
If every output is a fixed known attribute, direct enrichment endpoints may be cleaner than an open-ended research prompt.
No human or system review exists
Research can guide action, but high-stakes outbound claims, qualification decisions, and strategic conclusions should still be reviewable.
The workflow belongs in a spreadsheet
If the team wants the entire process in a table UI, use the tool that best owns that interface. Huntr is strongest when research must flow into an existing system.
FAQ
Is Huntr for enrichment or research?
Both can appear in the workflow, but the core value is research: interpreting company, lead, and signal context for a GTM decision.
Can this power internal GTM agents?
Yes. Use Huntr when an assistant needs external account context before recommending an action or producing a workflow note.
Can agencies use this across clients?
Yes. Agencies can standardize the research step while keeping campaign delivery in their existing tools and reporting systems.