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
#20 of 121
GTM Developer Tools
▼ 15 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
PredictLeads is working to be the company-signals data layer for developers and GTM teams that need hiring, funding, technographic, and business-event data inside their own workflows. It has a strong presence in GTM developer-tool and enrichment conversation, where practitioners use it for trigger-based outbound, account research, lookalike building, and data enrichment. It also appears in agentic workflow discussions as a source of structured company context that can be queried alongside other prospecting tools. The conversation is practical and implementation-oriented, centered on when a company signal should change who a team contacts and why.
LeadMagic
BuiltWith
Findymail
BetterContact
FullEnrichClay, Instantly, Copy.ai, FactSet, Common Room, Lavender, Dealroom, Amplemarket, Aviso, Surfe
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Business Profile
Founded in 2015, PredictLeads is an independent company-intelligence provider with a 46-person team. The record carries $0.2M in funding and a 2018 ARR report, with no newer financial total on file. Its business is built around structured company data delivered through APIs, webhooks, flat files, and MCP, rather than a stand-alone sales application. The current product surface groups company activity, technologies, hiring, business relationships, and news events into datasets that customers can connect to their own data and workflow systems.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
PredictLeads has made its company-intelligence datasets available through both an API and a published MCP surface. Its current positioning puts structured event, hiring, technology, and company data directly in reach of agents as well as conventional data workflows. That gives developers an agent-facing way to retrieve and use company signals for research, enrichment, and workflow decisions.
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