// fig. 01 — mcp server

MCP Server
for sales.

Drop our MCP server into Claude, Cursor, or any MCP-compatible runtime. Native tools for people search, company search, enrichment and agentic discovery.

↓ scaleclaude · cursor · cline
5 tools// exposed
stdio// + http
1.4.0// current
API
// figure-02 — protocol

MCP-native. No glue, no schemas to maintain.

The model picks the tool, fills in arguments from the schema, and reads the response. Same protocol Claude already speaks — every tool call is auditable.

Every MCP server exposes a tool list. Ours ships search, enrich, and agentic discovery — fully typed, with JSON schemas the model can introspect.

POSTmcp · tools/list · tools/call
// 03 · request
{
  "method": "tools/list"
}
200application/json · jsonrpc
// 04 · response
{
  "tools": [
    { "name": "search_people", "description": "Filter 800M+ profiles by 60+ columns" },
    { "name": "search_companies", "description": "Filter 75M+ companies by 50+ columns" },
    { "name": "enrich_profile", "description": "Resolve a profile URL or email into a full person record" },
    { "name": "enrich_company", "description": "Resolve a domain or name into a full company record" },
    { "name": "agentic_search", "description": "Natural-language query → ranked verified results" }
  ]
}
Capabilities
// capabilities

Five tools. Every MCP runtime.

Search and enrich — people and companies — plus an agentic planner. Drop in via npx, talk MCP over stdio or http, ship the feature.

// fig. 05─ ─ ─

Tools the model already knows

Five tools — search and enrich, people and companies, plus the agentic planner. Every input is JSON-schema typed.

// filters
search_peoplesearch_companiesenrich_profileenrich_companyagentic_search
// fig. 06─ ─ ─

Drop-in for any runtime

stdio + http transports. Works in Claude Desktop, Cursor, Cline, Continue, and every MCP-compatible host.

// filters
claude_desktopcursorclinecontinue
// fig. 07─ ─ ─

Schema-typed inputs

Filter columns, operators and value shapes are all declared. The model fills them in correctly without a system prompt.

// filters
filtersoperatorsinput_schemaoutput_schema
// fig. 08─ ─ ─

Auth & credits

Bearer token in env. Every tool call returns credits_used and an isError flag — auditable, reproducible, billable per run.

// filters
DATAFORB2B_API_KEYcredits_usedisError
Coverage
// fig. 10 — coverage

Source data across 20+ points

Continuous global refresh from public sources — not a stale quarterly snapshot. Profiles, companies, and contact data verified in real time.

// dataset · global feed20+ points
// sources
20+
// refresh
live
// regions
global
Delivery
// fig. 11 — delivery

Data delivered where your stack lives.

Same dataset, three transports. Pull it via REST, plug it into your agent through MCP, or stream changes to your webhook in real time.

// fig. 11REST
// channel

API

Pull on demand.

One JSON request. 60+ columns. 8 operators. Authenticate with a Bearer token, point at the endpoint, get verified data back in 142ms (p50).

POST/v1/people/search
// notes
  • Bearer auth
  • JSON in, JSON out
// fig. 12AGENT
// channel

MCP

Native tools for agents.

Drop our MCP server into Claude, Cursor, or any agent runtime. The model picks the tool, builds the filters and reads the response — no glue code, no schemas to maintain.

TOOLsearch_people · enrich_profile
// notes
  • Claude · OpenAI · Cursor
  • tool-call native
  • no schema babysitting
// fig. 13PUSH
// channel

Webhooks

Get notified the moment it changes.

Subscribe to ICP events — new matches, role changes, funding rounds. We POST to your endpoint with the delta. Your sequence reacts before the data goes stale.

POST→ your_endpoint
// notes
  • ICP delta events
  • signed payloads
  • exponential retry
Use Cases
// fig. 14 — build surface

What can you build with our API.

One POST request, four product surfaces. Each layered on top of the same endpoint — only the question changes.

// fig. 15sourcing copilots

AI Recruiting product

Past employers, top schools, degrees, certifications and tenure in the same payload. Your agent shortlists ex-FAANG, ex-Big4 and Ivy/MIT graduates — and the data refreshes itself.

// filters
past_companyschooldegree_levelskillcertificationyears_of_experience
// outputranked shortlist → ATS
// fig. 16outbound agents

AI SDR

Wire funding triggers and ICP filters into your agent. Stream verified profiles into the sequence. Re-query when the ICP changes — the agent owns the list, not a CSV exported in March.

// filters
current_company_funding_stagecurrent_titlecurrent_company_sizeprofile_countryis_currently_employed
// outputlive prospect feed → sequence
// fig. 17deal sourcing

Investment platform

Catch stealth founders, track investor overlap, funding stage and tenure across thousands of operators. Pipe raw JSON into your scoring model — no scrapers, no stale lists, no broken refresh jobs.

// filters
current_title ~ "Stealth Founder"current_company_investorcurrent_company_funding_stagecurrent_company_sizeyears_at_current_companycurrent_company_industry
// outputscored deal flow → analyst stack
// fig. 18embedded data layer

Sales automation platform

Power people search, enrichment and ICP refresh inside your product — one endpoint, MCP-ready, GDPR-compliant. Stop maintaining brittle scrapers; ship the feature instead.

// filters
current_companycurrent_titlecurrent_company_categorylanguage_proficiencyfollower_count
// outputembedded search → your app

Building something we haven't listed? Tell us what you're wiring it into. Half the columns we ship today came from a customer asking for one.

Compliance
GDPR Logo

GDPR compliant

Full compliance with European data protection regulations. Your data privacy is our priority.

CCPA Logo

CCPA compliant

Adhering to California Consumer Privacy Act standards for maximum data protection.

Publicly available data

All data sourced from publicly available and verified sources, ensuring ethical collection.

Related
Get Started
// fig. ∞ — ship

Build with us. Now.

Get an API key in 60 seconds. Plug your AI agent into 800M+ verified profiles and 75M+ companies — today.

↓ nextREST · MCP · Webhooks