Coresignal vs People Data Labs
Coresignal is a real-time data provider that offers multi-source datasets and APIs, while People Data Labs is better known for employee-focused enrichment and API-driven workflows. See how Coresignal compares to People Data Labs in 15 criteria.
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| Company profiles | 75M+ | 70M+ |
| Employee profiles | 859M+ | 2.4B+ |
| Job postings | 448M+ | 20.8M+ |
| Data formats |
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| Delivery methods |
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Data quality
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|---|---|---|
| Aggregated multi-source data | Unspecified | |
| Real-time data | Unspecified | |
| Entity recognition | ||
| AI-enriched data | Unspecified | |
| In line with GDPR/CCPA |
Data access
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|---|---|---|
| Employee data API | ||
| Company data API | ||
| Jobs data API | Unspecified | |
| Self-service dashboard | ||
| Free trial | ||
| Documentation |
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Coresignal's data solutions

Dataset
Build innovative solutions using comprehensive company data, including historical head count or tech stack. Leverage the datafor in-depth analysis and unique business insights. Request a data sample or explore on your own using the self-service platform.
Database API
Search and enrich whenever needed with direct access to a large-scale database in real time. After trying APIs with free credits, select from multiple subscription plans suitable for businesses of any size.
How to select a reliable data provider?
Coverage and freshness
The number of data records and covered locations reflects a vendor’s technical scale, but real-time data freshness is just as important. Delivering timely updates in a systematic, high-value way requires an experienced team capable of building the right infrastructure and processes.
Communication
A reliable data provider will give you all the relevant information about data quality, fill rates, data structure, features mentioned above before and after you purchase. At Coresignal, clients are supported by dedicated account managers and get prompt technical support.

Resources for testing
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.



