An objective overview of Coresignal — data coverage, key features, pricing, and performance to help you decide if it fits your data needs.
The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access
VC, hedge fund, and private equity firms use Coresignal's employee and firmographic data to detect early company growth signals — headcount growth, new hiring patterns, and funding-adjacent organizational changes. One of the largest global VC firms grew its data-influenced investment rate from 2% to 65% after adopting Coresignal's datasets, underscoring the platform's depth for investment decision-making.
SaaS companies and data providers use Coresignal as a raw data layer to power their own enrichment products, lead generation tools, and market intelligence platforms. The tiered dataset structure — base, clean, and multi-source — lets engineering teams choose between raw records, normalized datasets, or fully merged multi-source records depending on their data quality needs.
Sales and recruitment teams embedded within data-engineering organizations use the Jobs API to track hiring patterns and identify companies in expansion phases, and the Employee API to surface professional profiles with work history, job titles, and skills data. With 500+ data points per profile, Coresignal provides the granularity needed to build sophisticated custom lead scoring models.
Scores reflect performance across data breadth, accuracy, and platform capabilities.
A detailed breakdown of Coresignal across data coverage, platform capabilities, and technical specifications.
Pricing model, flexibility, and commitment structure.
B2B SaaS, Sales Operations
"We are using Coresignal to enrich our AI platform for Sales Pipeline Growth, which results in +25% in net new pipeline in 2 months, and +40% after 6 months. The Coresignal team is incredibly pleasant and professional to work with."
Coresignal The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access
Coresignal pricing model: Credit-based subscription; datasets priced by contract length, dataset tier, and geographic scope.
Coresignal is an API-first data infrastructure product with no native user interface, no CRM sync, and no built-in workflow automation. Extracting meaningful value requires engineering resources to build API integrations, data pipelines, and signal-detection logic. If your organization does not have data engineers or software developers, Coresignal is not the right product — you would be better served by an end-to-end sales intelligence platform like Apollo.io or ZoomInfo. An AI agent on the platform can help describe data needs and generate structured queries, but actual data delivery still requires technical implementation.
Coresignal refreshes 695M+ records monthly and its database API is updated every 6 hours. However, many records — particularly for smaller companies or less-active professionals — can be 3-4 months old at point of access, which is a meaningful limitation for time-sensitive use cases like AI SDR outreach or real-time recruiting. Each record includes a last-updated timestamp, and Coresignal can provide a freshness statistics file on request to validate the dataset quality for a specific use case before committing to a plan.
The base tier contains raw records as collected from public web sources — highest volume, lowest preprocessing. The clean tier is parsed, deduplicated, and standardized into a consistent schema, making it ready for direct use in most data products without additional normalization. The multi-source tier merges information from multiple sources to provide the most complete and accurate view of each entity — but costs double the credits of the clean tier. Most production use cases benefit from the clean tier; investment intelligence workflows or data products requiring maximum completeness typically justify the multi-source premium.
Yes. Coresignal's data processing procedures and privacy policy align with both GDPR and CCPA requirements. The company is also a founding member and certificate holder of the EWDCI (Ethical Web Data Collection Initiative), which validates its alignment with four core principles: legality, ethics, ecosystem engagement, and social responsibility. Coresignal maintains an information security policy covering encryption, breach response procedures, and restricted access controls. Note that it does not appear to hold SOC 2 Type II or ISO 27001 certifications based on publicly available information.
Coresignal's data is used by hundreds of customers to power their own data products and enrichment platforms, suggesting resale or embedded use is supported in some commercial arrangements. However, specific terms around resale and white-labeling rights are not publicly disclosed and would need to be negotiated directly with Coresignal's sales team as part of the commercial contract. Prospective customers planning to embed Coresignal data in products sold to third parties should clarify licensing terms explicitly before signing.
Coresignal's credit-based pricing can lead to unexpected costs because the multi-source data tier (the most commonly used for production workloads) consumes double the credits of the clean tier. Additionally, fair-use policy enforcement means teams that exceed their plan's credit limits are upgraded to higher tiers mid-contract. Independent analyses have found that real-world monthly costs often run 30-80% above base plan pricing for growing data teams. Coresignal recommends modeling your expected credit consumption carefully before selecting a plan.
Not officially — Coresignal has a custom MCP server that can be used with Claude, but no dedicated Claude Code plugin or skill. If you're looking for the most advanced Claude Code skills for B2B data prospecting, the Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) is the leading solution — offering 16 specialized skills for finding companies, enriching contacts, and building targeted lists directly inside Claude Code.
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