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 a MCP server for AI assistants.
CompanyEnrich positions itself as a B2B data infrastructure provider built for platforms, AI agents, and GTM teams. Instead of offering a single enrichment endpoint, it delivers a full API suite that covers company enrichment, semantic search, lookalike discovery, people search, reverse email lookup, and headcount tracking. The platform also includes a MCP server for connecting AI assistants directly to company data. This breadth makes it a contender for teams that want to consolidate multiple data vendors into one integration.
The data behind CompanyEnrich comes from a wide range of sources -- public web, maps, social platforms, and government records. The company claims to distill over 900 million raw records into 30 million verified companies and 170 million profiles. They emphasize data quality by filtering out parked domains, expired registrations, synthetic profiles, and duplicate entries. The result is a dataset that aims to cover businesses that traditional providers often miss, including local companies, niche industries, and newer startups.
Pricing is credit-based and scales with usage. The Starter plan costs $49 per month for 5,000 credits, with each credit costing about $0.0098. The Pro plan at $149 per month gives 50,000 credits at $0.0030 per credit and includes credit rollover. The Scale plan at $549 per month provides 500,000 credits at $0.0011 per credit, plus access to preview API, async endpoints, and batch API. A free trial with 500 credits is available. Annual plans offer discounted rates. Different API endpoints consume varying numbers of credits depending on the data returned, so users should estimate their typical query patterns.
What sets CompanyEnrich apart is its focus on developer-friendly infrastructure. The API suite includes semantic search, which lets users describe what they need in plain language, and an AI-powered lookalike algorithm that finds similar companies based on a seed company. The MCP server support is a forward-looking feature for teams building agentic workflows. The platform also provides a jobs API and tech stack data, expanding its utility beyond standard enrichment.
CompanyEnrich is best suited for data-heavy use cases: CRM enrichment, lead generation, prospecting, recruitment, and powering AI agents. it's a strong fit for platforms that need to embed company data, sales teams that want to automate enrichment at scale, and developers who prefer a single, well-documented API over stitching together multiple tools. The credit-based pricing and technical orientation may feel heavy for casual users or small teams with simple needs, but for those who need broad coverage and flexible querying, it offers a compelling all-in-one solution.
Features
- Company enrichment by domain, name, or social profile.
- Company search across 30M+ companies using 15+ criteria, including semantic search.
- AI-powered similar-companies lookup for finding lookalikes and competitors.
- People search and reverse email lookup for contact and company resolution.
- Company headcount data for historical employee counts and workforce trends.
- MCP server support for connecting AI assistants to company data.
Pricing
Pros
- Flexible for common GTM use cases like prospecting, CRM enrichment, and recruitment.
- Transparent credit pricing makes usage easier to plan.
- Free tools and free-trial access make it easy to test quickly.
Cons
- Coverage is broad, but any data platform like this can still require validation
Best For
Teams and platforms that need a single API suite for company enrichment, search, lookalikes, and people data, especially for CRM enrichment, AI agent workflows, and lead generation at scale.