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Pearch

Pearch.ai · Ranked #9 of 12 in AI Candidate Sourcing Tools

62.6/ 100
DSituational
APIbenchmarks Index
62.6#9 / 12
Category avg 71.7
Documentation & DX
66#10 / 12
Category avg 75.9
Reliability
55#9 / 12
Category avg 68.9
Ecosystem & SDKs
62#8 / 12
Category avg 68.7
Accessibility
68#8 / 12
Category avg 72.7

Natural-language people search with a REST API and an MIT-licensed remote MCP server; self-serve credit packs from $300 with per-feature credit costs published, but no free trial without sales, no SDKs and no status page found.

Best for

HR-tech builders and agents that need natural-language candidate search with optional email/phone enrichment, billed in credits

Screenshot of Pearch

Overview

Pearch sells a candidate-sourcing API that takes a natural-language query and returns ranked profiles. A REST API (api.pearch.ai v2 search) is billed in credits, and an official MIT-licensed MCP server (remote at mcp.pearch.ai with OAuth or Bearer API key) exposes search_people, search_company_leads, get_profile and a free get_user_info. A published search tier model has fast, pro and superfast modes; credit costs are 1 credit (fast), 5 (pro), 1 (insights), 2 (real-time profile) and 6 each for email or phone enrichment.

Public pricing is unusually transparent: Standard $600 for 10,000 credits, Startup $1,500 for 40,000, Growth $3,000 for 125,000 and a first-purchase $300 offer, all bought self-serve on the dashboard with auto-recharge on by default. There is no standard free trial; trials for early startups, custom packs and annual contracts go through a sales call. The minimum spend ($300) makes experimentation costlier than usage-based rivals.

Evidence is thin elsewhere. docs.pearch.ai could not be retrieved in this review and /docs on the main site returned 404, so documentation is scored mainly from the MCP README and third-party gateway pages (which disagree on per-request price, $0.266-$0.27). No status page, SLA or incident history was found. No G2, Trustpilot or Product Hunt reviews were found; the only comparative evidence is an April 2025 arXiv preprint authored by the vendor, so it is not treated as independent.

How this score is derived

The APIbenchmarks Index is a weighted sum of four dimensions, each scored on an absolute 0–100 reference scale. See the methodology for every mapping.

DimensionScoreWeightContribution
Documentation & DXThe MCP README documents four tools, install commands, auth modes and search types, and the site links to API docs, but docs.pearch.ai could not be fetched and third-party gateway pages disagree on pricing; scored conservatively on thin evidence.
66
30%19.8
ReliabilityNo status page, SLA or incident history was found; the MCP server exposes /health endpoints only for self-hosting. Scored low because nothing is verifiable, not because failures were observed.
55
25%13.8
Ecosystem & SDKsREST API plus an official MIT remote MCP server with OAuth and API-key auth and local stdio options; no official SDKs found and no listed ATS integrations.
62
25%15.5
AccessibilitySelf-serve credit packs with published per-feature credit costs, but a $300 minimum, no standard free trial (trials need a sales call), and inconsistent FAQ vs pricing-page terms on pack sizes and credit validity.
68
20%13.6
APIbenchmarks Index (ABI)62.6

Table 1. Derivation of the ABI for Pearch. Contribution = score × weight; the index is their sum.

Pearch vs the AI Candidate Sourcing Tools field

APIbenchmarks Index · higher is better

Outlined bar = this provider. Every provider in the category is scored on the same four criteria and weights.

Build quality vs accessibility

Pearch (dark dot) among AI Candidate Sourcing Tools APIs

Most attractive quadrant: above the median on both axes
Build quality = mean of documentation, reliability and ecosystem. Accessibility = free tier, pricing transparency and onboarding friction. Shaded quadrant = above the category median on both axes.

At a glance

Vendor
Pearch.ai
Pricing model
Prepaid credit packs; per-search and per-enrichment credits
Free tier
No
Official SDKs
3 languages

Pricing

First purchase offer$30010,000 credits, 1 month validity; first purchase only.
Standard$60010,000 credits, 3 months.
Startup$1,50040,000 credits, 3 months.
Growth$3,000125,000 credits, 6 months.
Enterprise / annualCustomVia sales call.

Key features

  • •Natural-language people search
  • •Fast, pro and superfast search modes
  • •Candidate insights and scoring
  • •Real-time profiles
  • •Email and phone enrichment
  • •Company-lead search
  • •Remote and local MCP server

Official SDKs

REST APIMCP server (remote, OAuth or Bearer key; MIT)MCP local stdio (Python, fastmcp)

Strengths & trade-offs

Strengths
  • +Official remote MCP server (MIT) with OAuth or API key
  • +Published credit packs and per-feature credit costs
  • +Real-time profile and contact enrichment options
  • +get_user_info reports remaining credits for free
  • +Self-serve purchase of the four listed packs
Trade-offs
  • –No free trial without contacting sales
  • –$300 minimum purchase
  • –docs.pearch.ai not retrievable and third-party prices disagree
  • –No SDKs, status page or SLA found
  • –No independent review corpus found
  • –FAQ and pricing page disagree on pack sizes and expiry

What developers say

No independent reviews found

No G2, Trustpilot or Product Hunt reviews were found; the only comparative study was written by the vendor.

“An April 2025 preprint by the vendor's own authors reports Pearch scoring highest against LinkedIn Recruiter, Juicebox and Exa (paraphrased; vendor-authored).”

Key figures

Fast search cost1 creditPearch pricing ↗
Email or phone enrichment6 credits eachPearch pricing ↗
Largest pack$3,000 for 125,000 creditsPearch pricing ↗
Gateway-listed search price$0.266-$0.27 per request (third party)Lava gateway ↗

Compare Pearch head to head

Compare up to 4 side by side →

Sources

  1. https://pearch.ai/pricing
  2. https://cdn.jsdelivr.net/gh/Pearch-ai/mcp_pearch@main/README.md
  3. https://www.lava.so/docs/gateway/providers/pearch
  4. https://arxiv.org/html/2504.02463v1
  5. https://ai.g2.com/marketplace/tools/mcp-pearch

Figures last verified 2026-10-22. Spotted an error? corrections@apibenchmarks.com