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// agentic search

B2B Data API
for LLM agents.

Send a sentence and get verified B2B data back, planned, filtered and ranked by intent for your AI agent.

Get API keyRead the docs
POST/v1/agent/searchResolving
example queries
VPs of Sales at Series B SaaS in NYC, last 18 months
Founders who left a unicorn this year and are building stealth
Engineering leaders at YC W24 portfolio companies
Companies hiring 5+ enterprise AEs in Germany
Stanford MBAs now running ops at Series A startups
planner, searcher, reranker
response200
1{2  "plan": {3    "filters": {4      "current_title": { "type": "like", "value": "VP Sales" },5      "current_company_funding_stage": { "type": "=", "value": "series_b" },6      "current_company_industry": { "type": "=", "value": "Software" },7      "current_job_location": { "type": "like", "value": "New York" },8      "years_in_current_position": { "type": "<=", "value": 1.5 }9    }10  },11  "results": [12    {13      "id": "prof_PVURNGJihYludzaOwFC",14      "name": "Priya Anand",15      "title": "VP Sales · Ramp",16      "intent_score": 0.94,17      "explanation": "Joined 11 months ago; Ramp closed Series B in Q3."18    }19  ],20  "tokens": { "in": 412, "out": 1840 }21}
1 call// any query
auto// filter plan
142ms// p50 first token
// API
endpoint

One sentence in. A verified result set out.

Natural language becomes a filter plan, multi-step queries are decomposed, output is ranked by intent. One request.

Get API accessBrowse capabilities

Send a sentence. It becomes structured filters, runs, and comes back ranked with an explanation.

request
1{2  "query": "VPs of Sales at Series B SaaS in NYC, last 18 months",3  "max_results": 10,4  "agent": "claude-3-5-sonnet"5}67# 200 OK8{9  "plan": {10    "filters": {11      "current_title": { "type": "like", "value": "VP Sales" },12      "current_company_funding_stage": { "type": "=", "value": "series_b" },13      "current_company_industry": { "type": "=", "value": "Software" },14      "current_job_location": { "type": "like", "value": "New York" },15      "years_in_current_position": { "type": "<=", "value": 1.5 }16    }17  },18  "results": [19    {20      "id": "prof_PVURNGJihYludzaOwFC",21      "name": "Priya Anand",22      "title": "VP Sales · Ramp",23      "intent_score": 0.94,24      "explanation": "Joined 11 months ago; Ramp closed Series B in Q3."25    }26  ],27  "tokens": { "in": 412, "out": 1840 }28}
VPs of Sales at Series B SaaS in NYC, last 18 months
plan: 5 filters12 ms
Priya AnandVP Sales, Ramp0.94

Joined 11 months ago; Ramp closed Series B in Q3.

// Capabilities
how it works

An agent that plans, searches, ranks.

Every step from query to ranked result is traceable.

ClaudeChatGPTCursor
Stanford MBAs now running ops at Series A startups
search_people200 OK
enrich_profile12 records

Plan, then search

Reads the query, picks the tool, builds the filter payload, runs it.

steps
1search_companiesfunding_stage = series_a
2search_peoplecurrent_company_id in $step1
3enrich_profilework email, 17 people

Multi-step search

Companies, then the people inside, then enrichment, chained without your code.

intent_score
Lucas Moreau0.97
Emma Wright0.91
Marco Rossi0.78
Lisa Grant0.64

Intent reranking

A 0 to 1 intent score per result, with the explanation and signals behind it.

response.plan
current_titlelike VP Sales
funding_stage= series_b
job_locationlike New York
tokens412 in, 1,840 out
Same plan in, same results out.

Traceability

Every response ships the exact filter plan and token counts: auditable, reproducible.

// Coverage
coverage

20+ sources, one API.

Aggregated from public data, verified and refreshed every month.

850M+Profiles
20+Sources
MonthlyRefresh
// Delivery
delivery

REST or MCP.

Same dataset, wherever your stack lives.

POST /search/people
"column": "current_title"
"value": "VP Sales"
200 OK142ms
Rachel MooreVP Sales, StripeJSON

REST API.

JSON in, JSON out, with an api_key header.

ClaudeChatGPTCursor
Find CTOs at AI startups in Paris
search_people200 OK
Found 48 CTOs. Want their work emails?

MCP server.

Native tools for Claude, ChatGPT and Cursor.

// Use Cases
use cases

What you can build.

One endpoint, four kinds of product.

past_companyschoolyears_of_experience
Lisa Grantex-Google, MIT96% fit
Thomas Beckerex-Stripe, Stanford93% fit
Rachel Mooreex-Meta, Berkeley91% fit
Sent to ATS

AI recruiting.

Shortlist by past employers, schools and tenure.

current_titlecurrent_company_funding_stageprofile_country
sequence: series-a-foundersEnrolling(214)
Patrick Collins[email protected]Step 1
David Singh[email protected]Step 1

AI SDR.

Feed verified prospects straight into sequences.

current_titlepast_companyyears_at_current_company
Lucas WeberStealth Founder, ex-StripeLeft 2w ago
Daniel MensahStealth Founder, ex-FigmaLeft 1mo ago

Deal sourcing.

Catch stealth founders the week they leave their job.

app.your-product.com
Heads of RevOps at fintechs in London
Amara OkaforHead of RevOps, Stripe
David SinghRevOps Lead, Notion
powered by your API key1,204 results

Embedded search.

Ship people search inside your own product.

Building something else? Tell us what you're building.

// Compliance
GDPR

GDPR compliant.

Data subject requests handled.

CCPA

CCPA compliant.

Opt-outs honored everywhere.

Public sources only.

Collected from publicly available data.

// Related
see also

Related solutions

AI SDR API

Outbound agents use natural-language search to source the next prospect.

Explore

Sales MCP Server

Same dataset exposed as MCP tools for Claude, Cursor and Cline.

Explore

Embedded B2B Data API

Embed natural-language search inside your sales platform UI.

Explore
// Get Started
// ship

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