Enricho vs Coresignal: which B2B data fits your AI agent?
Enricho and Coresignal both serve AI agents. Coresignal offers bulk web datasets and APIs; Enricho is built for prospecting inside Claude and ChatGPT.
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Both Enricho and Coresignal pitch their data to AI agents, so it's fair to ask which one fits. The short version: they're built for different jobs. This comparison describes Coresignal from its own website (as of October 2026). Products change, so check their site before deciding.
What does Coresignal offer?
According to its website, Coresignal sells public web data on companies, employees, job postings and social posts in several forms:
- Datasets delivered as flat files.
- Data APIs for companies, employees and jobs, plus an Agentic Search API.
- An MCP server for MCP-compatible AI tools and agent workflows.
- A self-service platform to search with a prompt, then enrich and download JSONL or CSV.
- Integrations with data platforms such as Snowflake, Databricks, Amazon S3, Google Cloud, Microsoft Azure and n8n.
Its listed use cases include lead generation, investment analysis, HR tech and talent sourcing, market research and AI/ML training data.
What does Enricho offer?
Enricho is B2B people and company data built for prospecting inside AI assistants:
- One MCP server (
https://mcp.enricho.co/mcp) that Claude, ChatGPT, Claude Code, Cursor, VS Code and other MCP clients connect to, with email sign-in or an API key. - Free previews of up to 10 records before any spend, then 1 credit per full record. Empty results are free.
- Full records with contact details where on file: emails, phones, LinkedIn and other profiles, plus the employer.
- Sales workflows in the conversation: lead lists, account research, enrichment, paired name and company matching, saved lists with CSV export, and saved searches with daily alerts.
How do they compare?
| Coresignal (from its website) | Enricho | |
|---|---|---|
| Built mainly for | Data, investment, HR-tech and sales-tech teams working with raw web data | Sales teams and founders prospecting in an AI assistant |
| Ways to get data | Datasets, APIs, MCP server, self-service exports | MCP server and REST API |
| Data types | Companies, employees, jobs, social posts | People and companies, with contact details where on file |
| Typical workflow | Pipelines, warehouses, enrichment jobs | A conversation: describe the buyer, preview, approve |
| Seeing results before paying | See their site | Free preview of up to 10 records, every time |
| Pricing | On their pricing page | Published: Free 100 credits a month; Pro $20, Growth $49, Scale $199; 1 credit per full record |
When does each fit best?
Coresignal may fit better if you:
- need bulk datasets in a warehouse or data lake,
- work with job-posting or social-post data,
- build analytics, investment research or ML training sets.
Enricho fits better if you:
- prospect directly in Claude, ChatGPT or Cursor without engineering work,
- want to see a free sample before spending, and approve each paid page,
- need contact details to reach decision makers, a page at a time,
- want lists, CSV exports and daily alerts without leaving the chat.
How do I try Enricho?
Add https://mcp.enricho.co/mcp in your assistant (see the integrations) and ask:
Use Enricho to find heads of sales at software companies with 51-200
employees, only people with an email. Preview first.
The Free plan includes 100 credits a month and needs no card.
