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.

Adrata sells buyer-group data and the Harness revenue teams use to reach the growing decision groups around enterprise purchases.

Adrata Data helps teams buy a focused data package: buyer groups by default, with intro path data, company data, people data, reports, exports, API handoff, and MCP delivery available as add-ons.

Harness is the operating layer for revenue teams: a workspace, AI actions, drafts, workflows, account context, data add-ons, integrations, governance, and sync around real pipeline.

How does Adrata use AI?

Adrata uses AI to research accounts, map decision groups, identify intro paths, draft role-specific outreach, coach reps, and explain the next move with source-backed context.

Can I get AI, the platform, and the data separately?

Yes. Teams can start with Data, deploy Harness, or combine both. Data can be delivered as reports, CRM import, CSV export, API handoff, or MCP delivery. Harness can include data add-ons.

What does Adrata add beyond contact data?

Adrata maps decision groups. A list of names is not the same as knowing which people decide, who can block, who can influence, and what path gets you to the signer.

What does Adrata add beyond a contact list?

A contact list tells you who exists. Adrata helps you understand the decision system: the buyer group, who signs, who blocks, who influences the deal, how they relate to each other, where the deal is single-threaded, and which path gives you the best next move.

Where does the buyer-group data come from?

We combine your first-party CRM data with public signals — org charts, hiring patterns, SEC filings, and engagement history. The AI maps reporting lines and decision authority. Your CRM stays the system of record.

Does Adrata replace our CRM?

No. Adrata sits on top of Salesforce, HubSpot, and your warehouse. Your CRM remains the system of record; Adrata adds decision-group data, intro paths, workflows, AI actions, provenance, and governance above it.

How long does setup take?

Connect your CRM and your pipeline appears immediately. Decision-group mapping starts working on day one. Most teams are fully ramped within two weeks.

What does Adrata cost?

Data starts at $40 per buyer group, with Intro Path Data, Company Data, and People Data available as add-ons. Harness starts with a $100 paid trial. Rep is $500 per seat per month, Team is $1,200 per seat per month, and Enterprise is custom for governed API/MCP access, SSO/SCIM, data residency, retention, customer-owned runner options, security review, SLAs, centralized GTM billing controls, and a forward deployed engineer.

Adrata

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Agent API and MCP

Adrata exposes customer-gated tools for revenue agents: intro paths, buyer groups, company research, people enrichment, pipeline scoring, outreach, meetings, and workspace memory. Public docs explain the contract. Real data requires an authenticated Adrata workspace.

Customer-gated

API keys and OAuth scopes decide exactly which workspace data and actions an agent can use.

Event-driven

Agents should react to changes through webhooks and async jobs, not poll until something breaks.

Audited

Every read, write, enrichment call, and outbound action carries provenance, owner, and budget controls.

Quick install

Run the MCP server anywhere your agent works.

Use MCP when the agent environment supports tools directly. Use the REST API when you need server-side control, webhooks, or product integrations.

Terminal

$ npx @adrata/mcp-server

Environment

ADRATA_API_KEY=ak_xxxxxxxxxxxxxxxxxxxx
ADRATA_API_URL=https://api.adrata.com/api/v1

Tool families

24 primary tools grouped by the way sellers actually work. Intro groups come first because access opens the deal.

Intro Groups

find_intro_paths

Find warm paths into a company or stakeholder.

rank_connectors

Score coworkers, partners, customers, alumni, and advisors by intro strength.

draft_forwardable_intro

Create the short note a connector can forward with context.

request_intro

Create a tracked intro request with owner, status, and audit log.

Buyer Groups

map_buyer_group

Map the economic buyer, champion, blockers, technical buyer, users, and missing roles.

score_coverage

Score access, influence, confidence, and missing-stakeholder risk.

refresh_buyer_group

Rerun the group when people change roles or the deal moves.

explain_next_move

Tell the rep who to contact next, why, and with what message.

Companies and People

search_companies

Search companies by name, domain, filters, vertical, or CRM context.

enrich_company

Return firmographics, locations, revenue signals, headcount, hiring, and source provenance.

search_people

Search people by company, title, seniority, location, or LinkedIn URL.

enrich_person

Return role, contactability, social links, work history, and verification status.

Pipeline and Coaching

score_deal_access

Score whether the team can reach the people who move the deal.

forecast_access_risk

Flag single-threaded commit deals before forecast day.

create_coaching_action

Create a next action for a rep or manager with due date and reason.

summarize_pipeline_gaps

Summarize missing access across a book of business.

Outreach and Meetings

draft_role_message

Draft role-specific outreach using buyer-group and company context.

read_thread_context

Read approved email or meeting context for a deal.

schedule_follow_up

Create a task or calendar-ready follow-up from the next move.

log_outcome

Write outcome, provenance, and attribution back to the workspace.

Research and Memory

research_company

Run cited web research on company, market, leadership, and fit.

extract_signals

Extract hiring, funding, leadership change, technology, and intent signals.

remember_pattern

Save workspace-approved learning for future recommendations.

retrieve_memory

Retrieve approved team memory for an account, person, or vertical.

Agentic API standard

A world-class agent API is not just request-response. It is safe under retries, event-driven when state changes, scoped by default, transparent about limits, and machine-readable for orchestration. This is the bar Adrata holds integrations and first-party tools to.

API design

Versioned REST contracts, OpenAPI, cursor pagination, and detailed error objects.

Events and streaming

Webhooks for state changes, signed events, retries, idempotent event IDs, and streaming where the agent needs live output.

Auth and security

Granular OAuth scopes, workspace API keys, rotation, least privilege, and audit logs.

Rate limits

Transparent rate-limit headers, burst behavior, backoff guidance, and credit-aware automation.

SDKs and docs

Machine-readable spec, examples, sandbox behavior, and agent-pattern guides.

Agent readiness

Idempotency keys, batch operations, async jobs, status polling, and safe retries.

Need direct API control?

MCP and REST use the same permission model, rate-limit headers, request IDs, idempotency behavior, and workspace audit logs.

API reference