For developers building enrichment and signal-based GTM workflows, PredictLeads is a company signals API that tracks hiring changes, funding news, and tech-stack shifts, feeding those signals directly into outbound and enrichment tools via API or MCP.
Presence & Market Position
#16 of 103
GTM Developer Tools
▲ 45 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
PredictLeads occupies the position of an infrastructure layer for GTM automation — a company-signals API built to feed hiring, funding, and tech-stack changes directly into agents and enrichment tools rather than stand alone as a dashboard. The conversation around it is builder-heavy: practitioner walkthroughs and stack breakdowns that treat it as the data feed sitting underneath larger automation chains, paired most often with list-building and lookalike-targeting tools, and increasingly described as a component wired directly into agent runtimes like Claude Code rather than used through a UI. That framing has coincided with a rising share of the category conversation.
BetterContact
FullEnrich
Findymail
LeadMagic
BuiltWithClay, Instantly, Copy.ai, FactSet, Common Room, Lavender, Dealroom, Amplemarket, Aviso, Surfe
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Business Profile
PredictLeads has operated as an independent, lean data company since 2015, built around continuous web crawling rather than a large go-to-market machine — a 46-person team serving a customer base that includes Clay, Instantly, Copy.ai, FactSet, and Common Room. Financial history on file is thin and dated (a 2018 ARR and matching valuation), but the more recent signal is product breadth: six structured datasets spanning news events, job openings, technologies, and firmographics across tens of millions of companies, delivered through APIs, flat files, webhooks, and MCP. G2 has named it a Momentum Leader and High Performer, and it emphasizes a dedicated QA team reviewing records daily.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
PredictLeads shipped a Model Context Protocol server giving Claude and other MCP-compatible agents direct query access to its company-intelligence datasets rather than routing through a dashboard. In July 2026, it landed in Claude Code's Connectors Directory, letting agents research and enrich companies and pull job-posting data using natural language inside the coding environment. Access runs through OAuth2 or header-based authentication with rate limiting on both the REST API and MCP surface.
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