Explorium

Explorium sells business and prospect data through the AgentSource API, positioned as the data layer for AI SDR and GTM agents. The developer docs describe a Businesses API (match, fetch and 17 enrichment types covering firmographics, technographics and financial indicators), a Prospects API (match, fetch and 3 enrichment types), a GenAI Research endpoint, events and monitoring, v2 webhooks and async jobs for batch work. It also ships an MCP server and implementation guides for OpenAI, LangGraph and the Python MCP SDK, which makes the agent workflow the primary integration path rather than an add-on.

Where it wins is self-serve access and developer packaging. A free account needs no sales call, credits are prepaid in public packages from $29.99 (500 credits) to $7,499.99 (500,000 credits), the docs publish an OpenAPI spec and llms.txt, and the rate limit page documents 200 queries per minute with X-RateLimit headers and Retry-After. Explorium's GitHub org holds MCP, plugin and skills repos updated within the last two weeks. G2 shows roughly 4.5-4.6/5 from 20-28 reviews, with reviewers praising data quality and free contact previews.

Where it loses is operational evidence and a thin independent review base. No public status page for Explorium was found (the status.explo.co result belongs to a different company), and its 99.999% uptime and 97.8% match-rate figures are vendor-published claims we could not verify, so reliability is scored conservatively. There is no first-party REST language SDK; the Python path uses the generic MCP SDK. Rate limits count each row of a batch as a query, free credits do not recur, paid credits expire after 12 months, and auto-renew is listed as not yet available. Net: a strong fit for teams wiring agents to B2B data who accept limited independent reliability evidence.