Coresignal
Coresignal supplies public web B2B data on companies, employees and job postings: more than 4.5 billion records delivered through real-time APIs or flat datasets, positioned as a data intelligence layer for AI agents.
What is Coresignal?
Coresignal is a public web data provider founded in 2016 that sells structured business information rather than a finished application. Its catalogue rests on three pillars: company data (70M+ records, 500+ fields, history since 2016), employee data (907M+ profiles, 300+ fields, also since 2016) and job postings (475M+ records, 85+ fields, since 2020). Around them sit social posts, firmographic and technographic attributes, funding data and historical headcount, aggregated from more than fifteen public web sources and offered at three processing levels: base, clean and multi-source. In total the company claims over 4.5 billion records and more than 1,000 customers.
There are two ways to get that data out. Real-time APIs cover companies, employees, jobs, company enrichment, historical headcount and agentic search, with an announced 176 ms response time, 99.9% uptime, Elasticsearch DSL queries and webhooks for change notifications. Flat datasets are the second route, delivered as JSON, JSONL, CSV or Parquet into Snowflake, BigQuery, Amazon S3, Databricks or Azure Blob. A self-service platform launched in 2023 sits between the two: describe the list you want, preview the records, add fields and export up to 10,000 multi-source records in JSONL.
The current positioning is explicit. Coresignal presents itself as a data intelligence layer for AI agents, and that shows in the Agentic Search API, which turns a natural-language request into a structured B2B list through a Fast endpoint built for volume and a Reasoning endpoint for multi-criteria queries, and in the MCP server that lets a compatible AI assistant query the data directly. Nodes for n8n, Zapier and Clay cover the no-code side.
The company also puts weight on how it collects. It is a founding member of the Ethical Web Data Collection Initiative, has been ranked a top data provider by Datarade from 2023 to 2026, and states that it gathers only publicly available, strictly business-related data, never scraping behind login-secured areas and never collecting private or sensitive information. Academic researchers can obtain data free of charge through a pro bono programme, and around 80 technical specialists are claimed behind the operation.
What it does
- Search and retrieve company, employee and job posting records in real time
- Enrich a CRM or a prospect list from a domain, a profile URL or an identifier
- Turn a plain-language prompt into a structured B2B list through agentic search
- Connect an AI agent to the data through the MCP server
- Track headcount changes, hiring activity and funding events at target companies
- Feed AI and machine learning model training and semantic search projects
- Deliver flat datasets into Snowflake, BigQuery, Amazon S3, Databricks or Azure
When to use Coresignal / When not to
A quick filter to help you decide if Coresignal is the right fit.
When to use Coresignal
- Sales and revenue teams enriching CRM records and building targeted B2B prospect lists
- HR tech platforms, recruiters and talent analytics teams sourcing candidate and workforce data
- Investment funds and VC analysts running deal sourcing, company screening and risk assessment
- Data and AI teams training models or building semantic search on top of business data
- Developers connecting AI agents to live company data through the MCP server or the Agentic Search API
When not to use Coresignal
- Individuals and consumers: the offer is entirely B2B, starting at USD 49 per month and USD 1,000 for dataset contracts
- Anyone after private personal data: sensitive information, phone numbers, home addresses and login-protected content are explicitly excluded
- Teams needing B2C or general consumer data: every record is strictly business-related
- Buyers looking for a ready-made CRM or prospecting app: Coresignal ships the raw data, not the sales tool
- Non-technical teams and one-off needs: access runs through APIs, credits, Elasticsearch DSL queries or flat files on a monthly subscription
How to use Coresignal
A typical end-to-end flow, from setup to results.
- Create an account on the Coresignal dashboard: 2,000 credits are granted on sign-up, with no credit card required
- Choose your route: the self-service platform, the APIs, or a flat dataset negotiated with the sales team
- In the self-service platform, write a plain-language prompt describing the B2B data you are looking for
- Refine the query in the chat, or build an Elasticsearch DSL query when you need fine-grained control
- Preview the list of records returned before spending credits on the full export
- Select additional fields to enrich the list with multi-source attributes
- Export the result: up to 100 records in preview, up to 10,000 enriched multi-source records in JSONL
- On the API side, authenticate and call the search, get, enrich and refresh endpoints, using the public documentation and the Swagger playgrounds
- Set up webhooks to be notified when the underlying records change
- Alternatively, connect an agent through the MCP server, an n8n node, Zapier or Clay, or arrange dataset delivery to Amazon S3, Snowflake, BigQuery, Databricks or Azure
Pros & Cons
Pros
- Volume and depth: over 4.5 billion records and more than 500 fields on companies
- Freshness: API records refreshed in real time, with a last-updated timestamp on each record
- No sales call required: an API plan can be bought self-service from USD 49 per month
- A genuine trial: 2,000 credits over seven days with no credit card
- Documented ethical stance: founding member of the EWDCI, a detailed transparency page, and exclusion of sensitive data and login-protected areas
- Modern tooling for AI work: MCP server, agentic search, webhooks, JSONL and Parquet formats, plus delivery into Snowflake, BigQuery, Amazon S3, Databricks and Azure
- Public documentation, Swagger playgrounds, tutorials, and a pro bono programme for academic research
Cons
- Dataset pricing is not public: contracts start at USD 1,000 and the final figure depends on negotiation
- The credit model makes real cost hard to predict: 10 to 20 credits per company or employee record, 100 credits for a reasoning-mode agentic query
- The site contradicts itself on free access: the FAQ mentions a free plan while the pricing table shows a seven-day free trial
- No data hosting country or region is declared anywhere on the site
- No customer-facing DPA is offered; the DPAs mentioned cover Coresignal's own subprocessors
- ISO 27001 is claimed as alignment without formal certification, and no SOC 2 attestation is shown; no Article 27 EU representative is named
- Two different legal entities appear depending on the page: Deeptrace Inc. in the terms and Binary House LLC in the privacy policy
Pricing & Plans
A free trial is available: 2,000 credits over seven days, with no credit card required. The site is inconsistent about a permanent free plan, since the FAQ mentions a free plan for the Database APIs while the pricing comparison table describes a free tier limited to a seven-day trial. The lowest paid entry point is the Mini plan at USD 49 per month. Flat datasets start at USD 1,000, paid monthly on an annual contract.
- seven-day trial
- 2
- 000 credits
- 5 requests per second
- email support
- USD 49 per month
- 2
- 500 credits
- 5 requests per second
- USD 199 per month or USD 2
- 149 per year for 144
- 000 credits
- 12
- 000 credits per month
- 5 requests per second
- USD 499 per month or USD 5
- 389 per year for 420
- 000 credits
- 35
- 000 credits per month
- 10 requests per second
- USD 1
- 000 per month or USD 10
- 800 per year for 1
- 800
- 000 credits
- 150
- 000 credits per month
- 20 requests per second
- USD 1
- 500 per month or USD 16
- 200 per year for 12
- 000
- 000 credits
- 1
- 000
- 000 credits per month
- USD 3
- 000 per month or USD 32
- 400 per year for 48
- 000
- 000 credits
- 4
- 000
- 000 credits per month
- USD 5
- 000 per month or USD 54
- 000 per year for 120
- 000
- 000 credits
- 10
- 000
- 000 credits per month
- from USD 1
- 000
- priced according to contract length
- processing level and volume
- 10% discount displayed on every API tier
- 10 to 20 credits per employee or company record
- 1 per job posting
- 20 per contact enrichment
- 20 plus 20 per 20 results for agentic fast search
- 100 plus 20 per 20 results for agentic reasoning search
Data, GDPR & hosting
A consolidated view of how Coresignal handles your data.
GDPR overview
The GDPR is named explicitly. The about page states that data processing procedures and the privacy policy are in line with the major data privacy regulations, including the CCPA and GDPR, and the transparency page claims a privacy strategy aligned with both US and EU rules. The privacy policy sets out legal bases per purpose (contract, legal obligation, legitimate interest, consent), with legitimate interest invoked for collecting public professional data. Rights of access, rectification, erasure, restriction and opt-out from sale or sharing are documented and exercised through the dedicated privacy rights form or privacy@coresignal.com, an authorised agent being accepted. A data protection impact assessment is declared, alongside adherence to ISO 27001 without formal certification. No Article 27 EU representative and no data protection officer is named. The policy was last updated on 25 August 2026.
Who owns the data?
Under the terms and conditions, the company and its licensors own all intellectual property rights and materials contained in the website, and visitors receive only a limited licence to view that material. Republishing, reselling, sublicensing or otherwise commercialising it is prohibited, as is data mining or harvesting the site itself. The data Coresignal sells is defined as information gathered from publicly available sources, and its ownership is not settled by these terms: buying data is governed by a separate signed agreement that the site does not publish. On the privacy side, the declared data controller is Binary House LLC, reachable at info@coresignal.com.
Reuse rights
Material published on the website cannot be republished, resold, sublicensed or commercialised: visitors hold a viewing licence only, and using the site for data mining, harvesting or advertising is forbidden. Rights over purchased data are a separate matter entirely. The terms state that they do not govern the relationship with a buyer of data, which is set by an individually signed agreement that Coresignal does not publish, so no reuse right can be inferred from the public terms alone. The delivered data is presented for the use cases advertised on the site, such as CRM and lead enrichment, AI and machine learning model training and data products, but each of those remains subject to that contract rather than to any blanket permission.
Data retention & training
Hosting summary
No hosting country or region is declared anywhere on the site. What the privacy policy does disclose is the recipients of personal data and the transfers involved: data is transferred to the United States for Deeptrace Inc., Google Inc. as IT infrastructure provider and Meta, with standard contractual clauses cited as the safeguard. Other named recipients are Stripe for payments, SendGrid for email and Leadfeeder for B2B analytics in Finland and Germany. Customers accessing the data are described as located in various countries, again under contractual clauses. The governing law of the terms and conditions is that of Delaware, and Coresignal describes itself as a US-based company. At DNS level the domain resolves to a Cloudflare anycast address, which says nothing about where the data actually sits. In short: a US jurisdiction and named US transfers, but no verifiable statement about the physical location of the databases.
Things to keep in mind
Risks and trade-offs to weigh before adopting Coresignal.
- The records describe identifiable people, with names, roles, career history and skills: even when the source is public, downstream use is the buyer's responsibility
- Profiled individuals generally do not know they are in the database, and opting out requires them to take active steps
- The legitimate interest the provider invokes for its own collection does not automatically cover the customer's processing under the GDPR
- Over-trust in the data: a scraped profile may be outdated, incomplete or simply wrong, yet feed a hiring or investment decision
- Models trained on this data inherit its bias, over-representing the professions and regions most visible on professional networks
- Unpredictable cost: a badly calibrated query pattern can burn through credits quickly, and reliance on a single provider for a critical infrastructure layer creates lock-in
- Aggressive prospecting or candidate scoring built on this data carries reputational and legal exposure for the buyer, made worse by the fact that no hosting location is declared and therefore cannot be verified
Setup & Integrations
Technical difficulty
It depends on the route. The self-service platform requires no technical skill: sign up, write a prompt in plain language, export the result. The API route is a developer job: authentication, endpoints, credit management and Elasticsearch DSL queries for fine control, though documentation, Swagger playgrounds and tutorials are provided. Datasets mean a commercial negotiation plus real data engineering to set up recurring delivery into S3, Snowflake, BigQuery, Databricks or Azure. Agents are the easiest path: the MCP server with OAuth is presented as a one-click connection, and Zapier, Clay and n8n cover no-code needs.
Deployment
Integrations
Behind Coresignal
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Coresignal.
Frequently asked questions
What kind of data does Coresignal provide?
How much data is there?
How is the data delivered?
Is there a free trial?
How much does it cost?
How do the credits work?
Can I cancel my plan?
Is the data collected legally, and can I be removed from it?
How long is the data kept?
Can I connect an AI agent to Coresignal?
Should you pick Coresignal?
Coresignal is infrastructure, not an assistant. It does not answer questions or run campaigns: it supplies the raw material, company, employee and job posting records, that other products and models turn into something usable. On that basis it holds up well. More than 4.5 billion records, real-time refresh, a self-service route starting at USD 49 per month without a sales call, a seven-day trial with 2,000 credits and no card, and modern plumbing for AI work through the MCP server, the Agentic Search API, webhooks and JSONL or Parquet exports into the usual warehouses. The transparency page is unusually detailed about what is collected and what is not.
Several points deserve checking before committing. Real cost is driven by credits rather than by the headline price: 10 to 20 credits per company or employee record, 100 for a reasoning-mode agentic query. Dataset pricing stays opaque above a USD 1,000 floor. No hosting country or region is declared, no customer-facing DPA is offered, ISO 27001 is claimed as alignment without formal certification, and no Article 27 EU representative is named. Two legal entities appear depending on the page, Deeptrace Inc. in the terms and Binary House LLC in the privacy policy, and the site contradicts itself on whether a permanent free plan exists.
The audience is clear: data and AI teams, sales and revenue operations, HR tech and recruiting platforms, investment and market research teams, and developers wiring agents to live business data. Outside that group, the entry price and the technical requirements are hard to justify. And whatever the provider documents about its own collection practices, the ethical weight of reusing profiles of identifiable professionals lands on the buyer: it is your downstream processing, not Coresignal's sourcing, that will be examined.
- Choosing a selection results in a full page refresh.
- Opens in a new window.