Can a recruiter use Pearch on its own?

Not really. Pearch is a sourcing backend built to sit behind an ATS, an HR product or an AI agent, including white-label. An agency can call the API directly, but it still needs something around it to hold the results and drive the next step.

How does the credit pricing work?

You buy credits and each call consumes them in proportion to how many profiles come back. Per Pearch, starter packages run from a couple of thousand credits, contact data and deeper AI analysis draw extra credits on top, and unused credits can expire between one and twelve months depending on the package.

How fresh are the candidate profiles?

Per Pearch, the index typically sits two to five weeks behind, with a real-time scrape option when a record needs to be current at the moment of the query. For passive candidate work that lag rarely matters; for fast-moving markets it is worth pricing the real-time option in.

Does it return contact details with the profiles?

Yes. Results can come back with email, phone number and LinkedIn URL attached, which removes a separate enrichment step before outreach. Per Pearch, contact retrieval consumes additional credits beyond the search itself.

Can it search our own candidate database as well?

Yes. A single query can run across both Pearch's index and your own candidate records, returning internal and external people together. That matters for agencies sitting on a large database they rarely re-search before going to market.

Enrichment - Talent API

Pearch.ai

Candidate sourcing API that returns ranked, contact-ready profiles

What is Pearch.ai?

Pearch.ai is a candidate sourcing API. Send it a job description or a plain-language description of who you are looking for, and it returns ranked profiles with contact data already attached, so there is no separate enrichment step before outreach. It is not a tool a recruiter logs into; it is a sourcing backend built to sit behind someone else's ATS, HR product or AI agent, including white-label. Teams calling it directly still need a pipeline around the results.

Features

What are Pearch.ai's key features?

Natural-language candidate search accepts plain-English queries and job descriptions.

Search depth and latency are configurable per request to trade precision for speed.

Contact retrieval returns verified emails and phone numbers alongside matched profiles.

A single query can search the proprietary index and a caller''s own candidate database.

Official MCP server makes the sourcing API callable from AI agents and LLM workflows.

Use Cases

How do recruiting teams use Pearch.ai?

A staffing and recruiting agency embeds the Pearch API into its internal sourcing tool to run natural-language candidate searches without maintaining a search engine.
An in-house talent team searches the Pearch database and its own ATS records in a single query, surfacing internal and external candidates together.
An ATS or recruiting platform vendor integrates Pearch''s white-label API to add semantic candidate search, with the vendor''s own UI sitting on top.
An AI recruiting agent calls the MCP server with a plain-language role description and receives ranked candidate profiles with contact information.

Fit

Who is Pearch.ai best for?

ATS and HR-tech builders adding plain-language candidate search without building a search engine
Agencies building a proprietary or white-label sourcing product of their own
Not for a recruiter running one-off searches; this is a backend to embed

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.

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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