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CompanyEnrich

Vendor: CompanyEnrich

CompanyEnrich is a B2B data API platform for enriching, searching, and matching companies and people with fresh, verified business intelligence.

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Overview

CompanyEnrich provides real-time B2B data infrastructure for platforms, AI agents, sales teams, and GTM workflows. Its API suite covers company enrichment, company search, similar-company discovery, people search, reverse email lookup, headcount tracking, and an MCP server for AI assistants. The platform emphasizes broad coverage and data quality, saying it distills more than 900M raw records into 30M verified companies and 170M profiles, with data refreshed regularly from public web sources, maps, social platforms, and government records. It is designed for use cases like CRM enrichment, lead generation, prospecting, recruitment, and agentic workflows, with REST APIs, batch options, and developer-friendly docs. A free trial is available, and pricing scales by credits.

Key Features

Company enrichment by domain, name, or social profile

Enriches company records using a domain, company name, or social profile identifier.

Company search across 30M+ companies using 15+ criteria

Searches a database of over 30 million companies using multiple filters, including semantic search.

AI-powered similar-companies lookup

Finds lookalike companies and competitors using AI-driven similarity matching.

People search and reverse email lookup

Resolves contact and company information through people search and reverse email lookup.

Company headcount data

Provides historical employee counts and workforce trend data for companies.

MCP server support

Connects AI assistants to company data via an MCP server.

Pros & Strengths

  • Broad product suite in one platform: Reduces the need for multiple vendors by combining enrichment, search, and discovery tools.
  • Emphasis on verified, refreshed data: Distills over 900M raw records into 30M verified companies and 170M profiles with regular refreshes.
  • Supports human and AI-driven workflows: Includes semantic search and MCP server support for agentic and traditional GTM use cases.
  • Transparent credit pricing: Credit-based pricing with clear per-credit costs makes usage easier to plan.
  • Free trial access: Offers 500 free credits before committing to a paid plan.

Cons & Tradeoffs

  • Credit-based pricing complexity: Credit-based pricing may take time to understand due to varying endpoint costs.
  • Technical orientation: Built for data-heavy use cases, which may feel more technical than lightweight point tools.
  • Data validation still required: Despite broad coverage, data should be validated within the user's own workflow.

Known Limitations

  • • Credit consumption varies by endpoint, requiring monitoring for cost control.
  • • Annual plans are discounted but not detailed on the public pricing page.
  • • Data quality, while emphasized, still requires validation in downstream workflows.

Pricing & Plans

Model: subscription
USD49 /month

Subscription tiers scale by credits: Starter $49/month for 5,000 credits ($0.0098/credit), Pro $149/month for 50,000 credits ($0.0030/credit, rollover), Scale $549/month for 500,000 credits ($0.0011/credit, rollover, preview API, async and batch endpoints). A free trial of 500 credits is available. Annual plans are offered at a discount.

✓ Free Plan ✓ Free Trial

Editorial Info

Last Reviewed: 2026-08-20

Verified Sources & Research

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