Coresignal vs Lusha
Coresignal and Lusha are both B2B company and professional data providers. However, they focus on different use cases. Lusha is built for sales and recruiting teams who need verified contact details and buying signals inside a CRM or prospecting workflow. Coresignal is built as a data infrastructure layer, delivering large-scale, multi-source company, employee, and job posting data through APIs and bulk datasets for products, analytics, and AI systems.
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Broader data coverage and deeper profiles
Coresignal combines data from multiple public sources into unified company, employee, and job posting datasets, going well beyond the contact-level detail most sales intelligence tools track. This allows Coresignal to provide extremely rich records, including 500+ data fields available for company data and 300+ for employee records.
That depth is what makes it a fit for analytics, AI training, and long-term market research rather than day-to-day prospecting alone.
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|---|---|---|
| Company profiles | 70M+ | 29M+ |
| Data fields per company record | 500+ | 70+ |
| Professional/employee profiles | 907M+ | 290M+ |
| Data fields per professional record | 300+ | 30+ |
| Job postings | 425M+ | Not available |
| Historical data | 2016 | Not specified |
Data quality and reliability: Structured, multi-source data
Coresignal aggregates and reconciles records across sources rather than reporting from a single feed, so customers get one clean, deduplicated B2B record instead of stitching sources together themselves.
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|---|---|---|
| Aggregated multi-source data | Yes | No |
| Normalization and deduplication | Yes | Yes |
| Entity recognition | Yes | Yes |
| AI-enriched data | Yes | Yes |
| AI data search | Yes | Yes |
| In line with GDPR/CCPA | Yes | Yes |
Data freshness and ease of use
Coresignal's API returns records in an average of 176 ms, so teams get a live answer instead of waiting on a queue. That speed pairs with 10+ years of historical depth, which means customers get both up-to-the-moment lookups and the long-term record needed for trend analysis.
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|---|---|---|
| Real-time data | Yes | Yes |
| API response time | 176 ms average | Not disclosed |
| Signal generation via webhooks | Yes | Yes |
| Documentation | Yes | Yes |
| Free trial | Yes | Yes |
| Pricing | From $49/month | From $37/month |
Data access
Coresignal supports both an API and standalone large-scale datasets, delivered through AWS S3, Azure, or Google Cloud Storage, so teams can pull live records or load bulk files straight into a warehouse.
While Lusha offers similar access via APIs and integrations, it does not have bulk data access and jobs data.
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|---|---|---|
| Company data API | Yes | Yes |
| Employee data API | Yes | Yes |
| Jobs data API | Yes | No |
| Standalone large-scale datasets | Yes | No |
| Data formats |
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| Data integrations | Yes | Yes |
| Delivery methods |
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The comparison provided here is based on public data available as of September, 2026. All users should verify the current status of products, services, or offerings before relying on any comparative information.
Key differences between Coresignal and Lusha
Coresignal and Lusha are often shortlisted together, but they solve different problems. Here is where the two diverge.
1. Data infrastructure vs. sales intelligence
Lusha is built for revenue teams that need verified contacts, prospecting workflows, buying signals, and CRM enrichment.
Coresignal is designed as a data intelligence layer for teams that need enriched B2B data inside products, analytics systems, AI agents, and internal data infrastructure. That difference in purpose shapes everything else, from how each product prices data to how it gets delivered.
2. Company data depth and historical context
Coresignal provides more and richer company profiles. Beyond the volume gap, Coresignal adds historical company and workforce context, tracking how headcount, funding, and hiring change over time. That makes it better suited to trend analysis, company monitoring, market research, and other analytical applications where a snapshot of today's contact isn't enough.
3. Data access: standalone datasets vs. GTM workflows
Coresignal supports APIs, standalone large-scale datasets, and multiple delivery options built for analytics and data products.
Lusha is more focused on integrating verified company and contact data directly into prospecting, CRM, enrichment, and go-to-market workflows.
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Get a better understanding about how Coresignal compares to Lusha.
Why choose Coresignal over Lusha?
Built for multiple use cases
A foundation built for data products and AI, with bulk datasets, flexible APIs, MCP, and Agentic Search for analytics, internal tools, and AI agents.
Years of historical data
Historical context, letting you analyze company, workforce, and hiring changes across years instead of relying only on current account signals.
Rich and detailed profiles
Deeper company data, with 70M+ company profiles and 500+ fields, compared with Lusha's published 28M+ companies and 70+ verified fields.
All B2B data from a top provider
Broader B2B datasets, with company, employee, and job posting records from one provider.
Coresignal's data solutions
APIs
You can choose between several choices: direct download via link, Google Cloud Storage, and AWS S3 or integrations.
Find and get data on specific companies
Access millions of employee profiles
Search and retrieve relevant jobs with ease
Comprehensive historical employee data
Datasets
Access our data and download them in structured JSON.
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