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PredictLeads

Company signals, structured for GTM

MCPAPINative readiness
About

What is PredictLeads

PredictLeads pulls company activity signals — hiring trends, funding rounds, partnerships, technographics, and business relationship networks — directly from company websites and ATS integrations, then delivers that data as structured records via API, webhooks, or flat file exports. It's built for SDRs, BDRs, RevOps teams, and GTM leads at SMBs and mid-market companies who need a reliable signal layer underneath their outbound or enrichment workflows. The standout capability is job opening data refreshed every 36 hours, sourced directly from company career pages, which gives teams a concrete, timely proxy for growth and budget signals. Historical coverage dates back to 2016, so you can trend a company's hiring behavior over time rather than just see a snapshot. The platform has no native point-and-click prospecting UI — it's a data infrastructure layer, so teams without API access or a technical operator will struggle to extract value without a middleware tool like Clay.

Capabilities

Key features

Prospecting database

searchable B2B contact + company directory

Data

intent signals, real-time enrichment, firmographic + tech-stack data

Outbound webhooks

event-driven integrations

Our verdict

Vanderbuild take

PredictLeads is a signal-layer data infrastructure tool — not a UI-first prospecting app — and for SDRs, RevOps, and GTM leads who need structured intent data piped into their stack, it's one of the more technically credible options in the prospecting database and enrichment space. The agentic readiness here is native: PredictLeads ships an MCP server, which means AI agents can call it directly as an orchestration layer without any custom wrapping — that's a meaningful edge if you're building agentic outbound workflows. Pricing is usage-based with a free tier (100 API credits/month), so small teams can validate data quality before committing, though credits don't roll over and costs scale with volume. The honest limitation is that this is infrastructure, not a finished product — without a technical operator or a tool like Clay sitting in front of it, most sales reps won't be able to use it directly.

Mateusz Sekta
Founder, vanderbuild
The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

The MCP server provides a structured way for AI agents to interact with the PredictLeads system and retrieve all information available via the REST API, including company intelligence signals, news events, and job openings. It supports HTTP-based connections with authentication via X-Api-Key and X-Api-Token headers.

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
Data source · Signal source · Enricher

Where this tool slots into an agentic pipeline.

Plays the role of Data source + Signal source + Enricher in an agentic pipeline. Use it to source contacts, companies, and the raw inputs an agent needs to act; surface buying intent — funding, hiring, job changes, web visits.

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Answers

Frequently asked questions

Does PredictLeads have an MCP server?

Yes — PredictLeads exposes a Model Context Protocol server. The MCP server provides a structured way for AI agents to interact with the PredictLeads system and retrieve all information available via the REST API, including company intelligence signals, news events, and job openings. It supports HTTP-based connections with authentication via X-Api-Key and X-Api-Token headers. See the MCP docs at https://mcp.predictleads.com/.

Does PredictLeads have a public API?

Yes — PredictLeads ships a REST API. Docs: https://docs.predictleads.com/.

How much does PredictLeads cost?

PredictLeads: pricing is freemium, expect mid tier ($$) spend. Full pricing page: https://predictleads.com/pricing.

Who is PredictLeads best for?

PredictLeads is built for SDR / BDR, RevOps, GTM Lead. Fits SMB (1-50), Mid-market (50-500)-sized teams.

How well does PredictLeads fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.

Quick spec
MCP serverYes
ReadinessNative
Stack roleData source, Signal source, Enricher
Pricing
Freemium
$$
Vendor pricing →
Ideal customer
Growth stage
Growth-stage · Scale-up
Company size
SMB (1-50) · Mid-market (50-500)
Best for
SDR / BDR · RevOps · GTM Lead