The most accurate candidate search API

Search for candidates in plain English. Embed ranked results in your ATS, HR tech product, or networking platform.

POST /v2/search

QueryML engineers in Berlin with ranking experience

Example ranked candidates
RankCandidateRoleLocation
01Maya KleinML EngineerBerlin
02Jonas LindStaff ML EngineerBerlin
03Ada NovakApplied ML EngineerBerlin

Powering recruiting products

150+
recruiting platforms integrated Pearch
13M+
candidates delivered in the last 6 months
940M+
profiles across 30M companies
#1
Pearch Pro in Sourcing Analysis

Use cases

ATS
Let recruiters source top talent directly inside your platform – using natural language or job posts
Recruiting solutions
Embed AI-powered search and matching to deliver better candidates, faster
HR tools
Use our API to match people to roles, projects, or career paths – at scale
Community platforms
Help users discover relevant jobs, mentors, or collaborators based on their background and goals

How It Works

  1. 01

    Create the search query

    Using JD, natural language query or any of your internal data

  2. 02

    Send a simple API call

    Send it directly to our API

  3. 03

    Get results in under 10 sec!

    Display ranked, high-quality profiles to your users

Read the API reference
POST /v2/search
{
  "query": "ML engineers in Berlin",
  "type": "fast",
  "limit": 3
}
Ranked profiles
  1. Maya KleinML Engineer
  2. Jonas LindStaff ML Engineer
  3. Ada NovakApplied ML Engineer

Candidate sourcing API

Search, ranking, and contact data

Fast

First results in 10 seconds.

Fresh profiles

Request real-time profile data when you need it.

MCP integration

Search for candidates directly from your AI agent.

Bulk search

Run candidate searches in batches.

Smart ranking

AI ranks profiles by relevance to your search.

Contact-ready data

Matched candidates can include emails, phone numbers, and LinkedIn links.

Insights & research

Pearch Pro ranks first in the SourcingAnalysis benchmark

On 100 real user queries, Sourcing Analysis compares candidate relevance side by side. Explore the published scores and how the runs were evaluated.

SourcingAnalysis scoreTop 10 published configurations
  1. Pearch - Pro75.1%
  2. Exa - Agent Ultra66.3%
  3. Perplexity - Ultra Deep65.8%
  4. Pearch - Fast64.9%
  5. Perplexity - Pro58.0%
  6. Metaview54.4%
  7. Wrangle53.6%
  8. Exa - fast50.1%
  9. Juicebox47.9%
  10. Exa - auto47.6%

Estimated pairwise win probability. 50% means even odds. Published leaderboard

Pricing

Need higher-quality matches for your users?

FAQ

Questions

Show more answers

About Pearch

What is Pearch.ai?

Pearch AI is an API that powers candidate sourcing for HR tech platforms. It lets developers of AI recruiting apps and applicant tracking systems integrate natural‑language search without building their own search engine or maintaining a talent database. The API returns candidate profiles with work history, education, skills, contact information and more; you can then apply your own filters or ranking on top.

How good is the search quality? Can I build a search better than Juicebox, Gem or others?

Pearch’s proprietary semantic search ranks candidates by how well they match your requirements. In an independent study, recruiters evaluated results in blind comparisons and rated Pearch’s matches above those of competing sourcing tools.

Why should I build with Pearch instead of using other APIs?

Other vendors—such as Apollo or People Data Labs—act primarily as recruitment data providers. They sell data with standard filters (job title, location) but lack a sophisticated semantic search API or AI‑powered recruiting backend which leads to extremely low candidate relevance. Pearch is a natural language candidate search API built specifically for AI recruitment: it accepts conversational queries, ranks candidates semantically and supports dozens of parameters to tailor search in your product.

What’s the geo coverage of data?

Pearch’s dataset spans worldwide markets — https://public.flourish.studio/visualisation/24339193/. It focuses primarily on the USA (~190 million profiles) and Europe (~150 million) but includes candidates from other regions as well (i.e. 89 million profiles from India or 47 million from Brazil), providing global reach for your hiring needs.

How current is the data provided by Pearch.ai?

Pearch has a unique capacity of providing realtime candidate data to ensure the latest job changes and skills are reflected whenever you call the API.

How does Pearch.ai differ from traditional recruitment platforms?

Traditional recruiting platforms, such as SeekOut, focus on tools used directly by recruiters. Pearch provides candidate sourcing through an API you can embed in your product, giving you control over the interface and user experience.

Can we build a search better than Pearch on our own?

Developing an equivalent deep candidate search engine requires enormous data, AI research and infrastructure investments. Even companies with much larger budgets cannot match Pearch’s relevance. By leveraging Pearch, you avoid these costs and benefit from continuous improvements.

Product & Data Capabilities

Does Pearch.ai provide contact information for candidates?

Yes. The candidate discovery API can return verified professional emails and phone numbers. You can choose whether to include contact details.

Can I search my own candidate database alongside Pearch’s dataset?

Yes. You can perform a search across multiple talent databases—combining your proprietary data with Pearch’s global index. Reach out to us and let’s see how we can help you get the most out of your data: https://calendly.com/all_pearch/15-min-intro

Does Pearch.ai support multiple languages?

Yes. Pearch’s API can accept search queries in any language, and its AI will interpret your request to return relevant candidates. Your users can describe their ideal candidates in whatever language suits them.

Pricing & Plans

How does the credit‑based pricing work?

Pearch’s REST API candidate search is billed via credits. You buy credits, and each API call that returns candidate data uses credits proportional to the number of profiles returned.

Do you offer a free trial or proof of concept?

Yes. Start a free trial with 500 credits to evaluate the API. Trial credits are valid for one month.

Are there volume discounts or high‑volume packages?

Yes. We offer volume-based pricing, including mid-sized and large credit packages for enterprises. Set up a call with us to learn more: https://calendly.com/all_pearch/15-min-intro

Support & Operations

What support do you provide during onboarding and after integration?

We take a very hands-on approach with every customer, even small teams. During onboarding we guide you through the integration, provide direct developer support, and make sure your product is up and running quickly. After integration, we remain available for troubleshooting, feature guidance, and even custom endpoint adjustments if your use case requires it. Our goal is to make Pearch.ai feel like part of your own engineering team.

Are there case studies or success stories available?

Because Pearch.ai operates as a white-label sourcing API, most of our customer implementations aren’t public. Many AI recruiting platforms rely on us as their default sourcing backend, but those details stay behind the scenes. What we can share is that our technology also powers matching in consumer-facing products like Boardy.ai, showing the flexibility of our engine across both B2B and B2C use cases. If you’d like to explore examples that are closer to your use case, reach out to us directly.

How do you handle data privacy and compliance (e.g., GDPR/CCPA)?

We only work with publicly available data and support data deletion requests at https://pearch.ai/opt-out. We are also finalizing our full compliance with both GDPR and CCPA to give our customers confidence that our candidate sourcing API meets international data privacy standards.

Insights & Research

All articles
AI Sourcing Tools Benchmark 2025 Candidate Sourcing Backend Alternatives Measuring candidate relevance What 0.93 candidate relevance means

Want to see how it works?