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PredictLeads

PredictLeads provides structured company intelligence data on 120M+ companies globally, built for AI agents and autonomous systems. Data is sourced from public web sources and company websites, organized into datasets including news events, job openings, job signals, technology detections, financing events, SEC filings, products, key customers, similar companies, GitHub repositories, and subpages. Accessible via REST API, Webhooks, Flat Files, and MCP.

For agents: Company intelligence data on 120M+ firms (news, jobs, tech detections, funding, SEC filings) via REST API, webhooks, flat files and MCP server, built for AI age

company intelligence datajob openings datafinancing eventstech detectionmcp server

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T08:09:46.457Z. Cached copy · Source on predictleads.com

# PredictLeads

> PredictLeads provides structured company intelligence data on 120M+ companies globally, built for AI agents and autonomous systems. Data is sourced from public web sources and company websites, organized into datasets including news events, job openings, job signals, technology detections, financing events, SEC filings, products, key customers, similar companies, GitHub repositories, and subpages. Accessible via REST API, Webhooks, Flat Files, and MCP.

## Reference

- [API documentation](https://docs.predictleads.com/)
- [OpenAPI spec (JSON)](https://docs.predictleads.com/schemas/open_api_schema.json)
- [MCP server](https://mcp.predictleads.com/)

## Core datasets

### [Companies](https://docs.predictleads.com/guide/companies_dataset)
Firmographic data on 120M+ companies, including descriptions, tickers, locations, and corporate hierarchies (parent and subsidiary relationships). Optional add-ons include industry classifications, NAICS codes, and revenue estimates.

### [News Events](https://docs.predictleads.com/guide/news_events_dataset)
9M+ signals indexed from 20M+ PR sites, news outlets, and blogs. Categorized into 37 distinct event types: product launches, conference visits, partnerships, funding rounds, expansions, leadership changes, hiring plans, awards, and more. Includes the formatted signal, category, location, investment amounts, source URL, article body, author, and images.

### [Job Openings](https://docs.predictleads.com/guide/job_openings_dataset)
Full job postings from 3M+ companies - 300M+ historical records and 9.8M+ active jobs on average. Includes job descriptions, ONET codes, salary details, and direct links to job pages. Structured with job keywords and categories for filtering.

### [Technology Detections](https://docs.predictleads.com/guide/technology_detections_dataset)
2B+ detections across 99M+ companies, covering 240K+ tracked technologies enriched with pricing data. Sources include job postings, website script tags, DNS records, and product review sites.

### [Financing Events](https://docs.predictleads.com/guide/financing_events_dataset)
Structured funding data organized by round, amount, and date - sourced from millions of news sources. Powers investment tracking and market intelligence workflows.

### [Products](https://docs.predictleads.com/guide/products_dataset)
17M+ offerings across 1.4M+ companies, classified as a product, service, or solution. Each record includes the original name, a normalized English translation, and a concise description. Enables market and competitor analysis.

### [SEC Filings](https://docs.predictleads.com/guide/sec_filings_dataset)
190K+ SEC filings (6-K, 8-K, 10-K, 10-Q, 20-F, 40-F, 25) across 6.5K+ public companies, sourced directly from the SEC. Each record includes the form type, filing date, the date the filing reports on, the source URL of the document, and its full content converted to Markdown. Enables tracking of corporate disclosures and material events.
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Machine-readable: GET /v1/resolve?q=predictleads.com · GET /v1/domain/predictleads.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for predictleads.com:
1. POST https://agentwebmap.com/v1/sites/predictleads.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://predictleads.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/predictleads.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/predictleads.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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