What is Buyer Group Intelligence?

Buyer Group Intelligence is the practice of mapping and understanding the complete buying committee in enterprise sales. Instead of relying on a single champion, it identifies all stakeholders who impact the purchase decision.

How does Adrata help sales teams?

Adrata uses AI to automatically map buying committees, identify hidden stakeholders, understand each person's priorities, and provide actionable intelligence to close deals faster.

What is the sales tarpit problem?

The sales tarpit is when enterprise deals get stuck despite having a champion. Modern B2B buying involves 6-10+ stakeholders, each with veto power. Adrata helps teams navigate this complexity.

What is Buyer Group Intelligence?

Buyer Group Intelligence is the practice of mapping and understanding the complete buying committee in enterprise sales. Instead of relying on a single champion, it identifies all stakeholders (decision makers, influencers, blockers, and end users) who impact the purchase decision.

How does Adrata help sales teams?

Adrata uses AI to automatically map buying committees, identify hidden stakeholders, understand each person's priorities, and provide actionable intelligence to close deals faster. It helps sales teams escape the 'tarpit' where deals stall due to complex buying processes.

What is the sales tarpit problem?

The sales tarpit is when enterprise deals get stuck despite having a champion. Modern B2B buying involves 6-10+ stakeholders, each with veto power. Deals drag on for months as new stakeholders emerge and 'build vs buy' debates stall decisions. Adrata helps teams navigate this complexity.

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Agent Quickstart

From zero to agent in 5 minutes.

Estimated time: 5 minutes

Register for an API key

Create an account and generate your API key with a single request.

curl -X POST https://api.adrata.com/v1/agent/register \

-H "Content-Type: application/json" \

-d '{

"email": "you@company.com",

"name": "Your Name"

# Response: 201 Created

{

"api_key": "ak_live_xxxxxxxxxxxxxxxxxxxx",

"workspace_id": "ws_8xk2m9",

"message": "Check your email to verify your account."

}

Already have an account? Generate an API key from your workspace at Settings → API Keys. You can also sign up with GitHub OAuth at app.adrata.com/signup.

Make your first API call

Search for a company to verify your key works.

Search for companies

export API_KEY="ak_live_xxxxxxxxxxxxxxxxxxxx"

curl -H "Authorization: Bearer $API_KEY" \

"https://api.adrata.com/v1/companies?search=Acme&limit=5"

# Response: 200 OK

{

"data": [

{

"id": "comp_3jf82k",

"name": "Acme Corp",

"domain": "acme.com",

"industry": "Technology",

"employee_count": 2400,

"buyer_group_coverage": 0.65

...

"has_more": true,

"total": 23

}

If you see a JSON response with company data, your API key is working. If you get a 401, double-check your key and make sure it's verified.

Set up the MCP Server

Connect Adrata to Claude Desktop or Cursor in one step.

Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

claude_desktop_config.json

{

"mcpServers": {

"adrata": {

"command": "npx",

"args": ["@adrata/mcp-server"],

"env": {

"ADRATA_API_KEY": "ak_live_xxxxxxxxxxxxxxxxxxxx"

}

Restart Claude Desktop after saving. You should see "adrata" appear in your MCP tools list. Try asking: "Search for companies in my pipeline with low buyer group coverage."

Wire to your agent framework

Use the API directly from any language or agent SDK.

TypeScript / Node.js

import Anthropic from '@anthropic-ai/sdk';

const ADRATA_API_KEY = process.env.ADRATA_API_KEY!;

const BASE = 'https://api.adrata.com/v1';

// Helper to call the Adrata API

async function adrata(path: string, options?: RequestInit) {

const res = await fetch(`${BASE}${path}`, {

...options,

headers: { 'Authorization': `Bearer ${ADRATA_API_KEY}`, ...options?.headers },

});

return res.json();

}

// Define tools for the Anthropic SDK

const tools = [

{

name: 'search_companies',

description: 'Search for companies in the CRM',

input_schema: {

type: 'object' as const,

properties: { query: { type: 'string', description: 'Search term' } },

required: ['query'],

];

// Handle tool calls in the conversation loop

async function handleTool(name: string, input: Record<string, unknown>) {

if (name === 'search_companies') {

return adrata(`/companies?search=${input.query}`);

}

Python

import os, requests

from anthropic import Anthropic

API_KEY = os.environ["ADRATA_API_KEY"]

BASE = "https://api.adrata.com/v1"

def adrata(path, **kwargs):

r = requests.get(

f"{BASE}{path}",

headers={'Authorization': f"Bearer {API_KEY}"},

params=kwargs,

)

return r.json()

# Search for a company

companies = adrata("/companies", search="Acme", limit=5)

print(companies["data"][0]["name"]) # "Acme Corp"

What's next

Full API Reference

Authentication, pagination, error handling, and every endpoint documented with examples.

Read docs

MCP Server

Full tool reference with 35 tools across 8 product areas. Set up Claude Desktop or Cursor.

View tools

OpenAPI Spec

Machine-readable specification. Generate client libraries in any language with openapi-generator.

Download JSON

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Join our developer community or contact support.

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