Coresignal vs PredictLeads

Coresignal and PredictLeads are both B2B data providers, but their approaches differ. PredictLeads helps organizations track company activity using observable signals. Coresignal, on the other hand, delivers real-time data from job boards, company websites, and ATS. This means you get broader coverage and higher accuracy, helping you make more informed business decisions.
Let's see how these two providers compare on 18 criteria. 

Job postings records451.8M+270M+
Active job postings18.8M+9.8M+
Data fields per record80+151M+
Main sources Job boards, ATS, and company websitesCompany websites, press releases, news articles, and blogs
Aggregated multi-source data
Unspecified
AI-enriched data
Unspecified
Historical data

Data features

Deduplication
Entity resolution
Semantic search
Unspecified
Natural language search
Unspecified
Elasticsearch
Unspecified

Data access

Jobs data API
Jobs dataset
AI solutionsAgentic Search API & MCPMCP
Self-service dashboard
Free trial
Starting price$49$40

The comparison provided herein is based on public data available as of Jun 2, 2026. All users should verify the current status of products, services, or offerings before relying on any comparative information.

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Justas Gratulevicius
Data strategy consultant

Coresignal's data solutions

How to select a reliable data provider?

Data record count represent the technical capabilities of the data vendor. However, data freshness is just as important. Providing real-time data requires and experienced team that can develop the necessary infrastructure and processes.

Alternative data

A reliable data provider will give you all the relevant information about data quality, fill rates, data structure, and features mentioned above before and after you purchase. At Coresignal, clients are supported by dedicated account managers and get prompt technical support.

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It's essential to test and see if the data you’re getting from the provider meets your business needs and expectations. We encourage you to share what information is needed to properly evaluate our datasets or APIs.

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