Multiple delivery methods
Access company intelligence through REST APIs, downloadable flat files, real-time webhooks, or MCP. The site also notes AWS S3, GCS, and SFTP delivery for flat file exports.
PredictLeads
ClaimPredictLeads provides company intelligence data through APIs, flat files, webhooks, and MCP for teams that need structured company, hiring, news, and relationship signals. It is aimed at AI workflows, sales research, enrichment, and account intelligence.
Overview
PredictLeads is a company intelligence data provider built for AI workflows. It offers structured datasets through APIs, flat files, webhooks, and MCP so teams can ingest company signals into applications, agents, and internal systems.
The product covers multiple company-intelligence datasets, including company profiles, news events, job openings, technographics, financing events, products, key customers, and similar companies. The company dataset includes firmographic details such as descriptions, locations, headcount, revenue bands, NAICS codes, parent and subsidiary relationships, and website redirects.
Features
Company data enrichment
Work with structured company profiles that include descriptions, location data, revenue ranges, headcount, NAICS codes, and website details for company profiling and segmentation.
Relationship mapping
Track parent and subsidiary relationships, website redirects, and lookalike companies to understand corporate structures and related entities.
Job openings signals
Use structured job posting data with full job descriptions, ONET codes, and salary details to inspect hiring signals and growth plans.
News event tracking
Monitor news events from PR sites, news outlets, and blogs, organized into event categories such as product launches, funding, partnerships, and expansions.
Technographics
Estimate technology usage with technographics sourced from job postings, website script tags, and DNS records, with pricing information for some tools.
Key customer extraction
Pull key customer relationships from case studies, testimonials, and customer pages using image recognition and category mapping for customers, vendors, investors, and sponsors.
Use Cases
Company enrichment and profiling
Enrich account and CRM records with firmographic data such as company descriptions, locations, revenue ranges, NAICS codes, and corporate hierarchy fields.
Hiring and growth signals
Monitor hiring activity and growth intent by analyzing job openings, job descriptions, ONET codes, and salary details across companies.
Signal-based sales outreach
Track company news for events such as funding, partnerships, launches, and expansions to support prospecting and account research.
Competitive and relationship analysis
Map related companies and lookalikes to understand competitive landscapes, identify comparable businesses, and navigate multi-party transactions.
Key customer and partner research
Pull customer logos and relationship signals from public case studies and customer pages to understand vendors, sponsors, investors, and customers.
Pros and Cons
Pros
- Offers multiple access modes, including API, flat files, webhooks, and MCP.
- Covers several related company-intelligence datasets in one product.
- Includes structured fields that are useful for enrichment, segmentation, and relationship mapping.
- Documents flat-file export paths such as AWS S3, GCS, and SFTP for enterprise delivery.
- Shows a transparent credit-based pricing model with a free monthly tier and trial access.
Cons
- Coverage is broad across datasets, but the source does not show every dataset in full detail on each page.
- Pricing follows a credit model, so usage needs to be monitored if you make frequent requests or use paginated endpoints.
FAQ
How is PredictLeads delivered?
PredictLeads provides company intelligence data through APIs, flat files, webhooks, and MCP. The source pages show datasets for companies, job openings, news events, technographics, financing events, products, key customers, and similar companies.
Is there a free trial or free plan?
The source shows trial access and a free tier of 100 API calls per month on the pricing page. Beyond that, usage is billed on a credit basis, and enterprise access is available for flat files and real-time webhooks.
How does pricing work?
PredictLeads uses an API credit model. In most cases, 1 API request equals 1 credit, while discovery endpoints are billed per returned result and following a company for webhook signals costs 1 credit per month.
What does the companies dataset include?
The company dataset includes structured company profiles with descriptions, locations, revenue ranges, headcount data, NAICS codes, parent and subsidiary relationships, redirects, and lookalike companies.
What kinds of outputs do the datasets provide?
The job openings dataset is described as structured job posting data with full job descriptions, ONET codes, and salary details. The news events dataset is structured from news sources and categorized into event types such as product launches, funding, partnerships, and expansions.
Quick Facts
- Category
- Company intelligence data
- Platform
- API, flat files, webhooks, and MCP
- Primary datasets
- Companies, job openings, news events, technographics, financing events, products, key customers, similar companies
- Company data scale
- 120M+ companies
- Pricing model
- Free monthly API calls, then pay as you go with credits
- Source domain
- predictleads.com