Pearch.ai is a candidate sourcing API that powers recruiting platforms, ATS systems, and HR tools. You query it with a job description or natural language, and it returns ranked candidate profiles with contact data. Per Pearch, 50+ platforms have integrated it. It is not a recruiter-facing UI.

How does the search work?

You send a job description, natural-language text, or your own data as a query. Pearch returns results in under 10 seconds, ranked by relevance, with candidate email, phone, and LinkedIn attached (per Pearch).

What data does Pearch have?

Per Pearch, 810M+ profiles across 30M+ companies, refreshed in real time. You can run single searches or bulk queries.

How does Pearch integrate?

Pearch is API-first and supports low-code integration over MCP, so you can embed it into your ATS, HR tool, or AI sourcing agent.

Does Pearch provide contact information?

Yes. Per Pearch, profiles include email, phone, and LinkedIn, so a workflow can move straight to outreach.

How much does Pearch cost?

Pearch uses credit-based pricing that it does not publish; cost depends on query volume and use case, quoted on a sales call. A proof of concept is available.

Enrichment - Talent API

Pearch.ai

Candidate sourcing API ranked number one in search relevance

What is Pearch.ai?

Pearch.ai is a candidate sourcing API that takes a natural-language query or job description and returns ranked, contact-ready profiles in under 10 seconds, drawn from 810M+ profiles across 30M+ companies (per Pearch). It is not a tool a recruiter logs into; it is the sourcing backend a team embeds inside an ATS, HR-tech product, or custom AI sourcing agent to replace Boolean search with plain-language candidate discovery at scale. Best suited to technical teams building an AI-native sourcing workflow rather than recruiters running one-off searches.

Features

What are Pearch.ai's key features?

Natural-language candidate search: describe the role and experience in plain English and Pearch's engine surfaces matching profiles - no Boolean strings or filter stacking to maintain.

Contact-ready profiles at API speed: results return in under 10 seconds with contact data attached, so a pipeline moves from query to outreach without a separate enrichment step (per Pearch).

White-label sourcing backend: Pearch is built to sit invisibly behind your own ATS, product, or agent - useful for an agency building a proprietary sourcing stack rather than reselling a branded tool.

Relevance-ranked results: profiles come ordered by match strength rather than raw filter logic, so the top of the list tends to be the stronger fits.

API and low-code MCP integration: embed Pearch via API or connect it over MCP so an AI agent can source directly, without a major platform rewrite.

Use Cases

How do recruiting teams use Pearch.ai?

A technical operator embeds Pearch.ai's search API into a custom internal sourcing tool, adding semantic candidate search without building or maintaining a talent database.
An in-house team uses Pearch's natural-language search to find candidates matching nuanced criteria a Boolean string struggles to express - a specific mix of skills, seniority, and background.
An agency building a white-label sourcing product for clients uses Pearch as the backend engine, returning profiles and contact data without maintaining its own data layer.
An AI sourcing agent calls Pearch over MCP to turn a plain-language role brief into a ranked candidate shortlist mid-workflow.

Fit

Who is Pearch.ai best for?

Teams building or extending an ATS, sourcing tool, or AI agent that want semantic, plain-language candidate search over a large profile base via API.
Sourcing for technical or specialized roles where keyword search consistently misses qualified people who describe their experience in non-standard terms.
Agencies building a proprietary or white-label sourcing product rather than logging into an off-the-shelf search UI.

Pros & Cons

What are Pearch.ai's pros and cons?

Pros

Natural-language search removes Boolean syntax and complex filters.
Returns ranked, contact-ready profiles in under 10 seconds from 810M+ profiles (per Pearch).
Contact data pre-attached, cutting a separate enrichment step before outreach.
API and low-code MCP integration to embed into an existing platform without a major rewrite.

Cons

Requires API integration; it is a backend, not a standalone recruiter tool, so you need to be building or modifying a platform to use it.
Pricing is credit-based and not published, so cost requires a sales conversation.
Relevance-ranking claims rest largely on Pearch's own study, so third-party validation is limited.
Not certified GDPR-compliant; confirm your own basis before processing EU-candidate data.

Reviews

What are people saying about Pearch.ai?

Pearch.ai is an AI candidate-sourcing API used mostly as embedded infrastructure and does not yet have an established third-party review profile, so no aggregate rating is shown.

Consolidated from verified web sources · Updated April 30, 2026

Alternatives

How does Pearch.ai compare to alternatives?

Feature	Pearch.ai	CrustData	Fiber.ai
Category	Enrichment - Talent API	Enrichment - Talent API	Enrichment - Talent API
AI-first
API
MCP
GDPR
Best for	Agency, In-House	Agency, In-House	Agency, In-House

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FAQ

Frequently asked questions about Pearch.ai

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