Fast
First results in 10 seconds.
Search for candidates in plain English. Embed ranked results in your ATS, HR tech product, or networking platform.
QueryML engineers in Berlin with ranking experience
| Rank | Candidate | Role | Location |
|---|---|---|---|
| 01 | Maya Klein | ML Engineer | Berlin |
| 02 | Jonas Lind | Staff ML Engineer | Berlin |
| 03 | Ada Novak | Applied ML Engineer | Berlin |
Using JD, natural language query or any of your internal data
Send it directly to our API
Display ranked, high-quality profiles to your users
POST /v2/search{
"query": "ML engineers in Berlin",
"type": "fast",
"limit": 3
}
Candidate sourcing API
First results in 10 seconds.
Request real-time profile data when you need it.
Search for candidates directly from your AI agent.
Run candidate searches in batches.
AI ranks profiles by relevance to your search.
Matched candidates can include emails, phone numbers, and LinkedIn links.
Insights & research
On 100 real user queries, Sourcing Analysis compares candidate relevance side by side. Explore the published scores and how the runs were evaluated.
Estimated pairwise win probability. 50% means even odds. Published leaderboard
Customers
Space reserved for case studies
Pricing
FAQ
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.
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.
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.
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.
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.
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.
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.
Yes. The candidate discovery API can return verified professional emails and phone numbers. You can choose whether to include contact details.
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
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.
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.
Yes. Start a free trial with 500 credits to evaluate the API. Trial credits are valid for one month.
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
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.
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.
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.