REST API · MCP server · Agent Skills

Parse any résumé.
Match any role.

The parse-and-match API for hiring products. Résumés and job descriptions in — clean JSON and calibrated, explainable fit scores out. Résumés are never stored.

No credit card. First call in under five minutes.

rezmatch — one call, structured candidate
$ 

Built for the products that hire

Applicant tracking systemsJob boardsStaffing platformsSourcing toolsRecruiting agentsHR analyticsTalent marketplacesScreening copilotsApplicant tracking systemsJob boardsStaffing platformsSourcing toolsRecruiting agentsHR analyticsTalent marketplacesScreening copilots
Step 1 — ingest

Start with any résumé

PDF, raw text, or a URL. Any industry, any format — nurses and accountants, not just engineers.

Step 2 — parse

Out comes clean, normalized JSON

E.164 phones, canonical titles and employers, computed tenures, taxonomy-pinned skills.

Step 3 — match

Scored against the role, with receipts

Hard requirements gate the score. Every point is explained — evidence, never verdicts.

PDF
priya_sharma.pdf
128 KB
candidate.json
"name": "Priya Sharma"
"phone": "+15125550100"
"seniority": "senior"
"experience": 103 // months, computed
"skills": ["Go", "Kubernetes", "PostgreSQL"]
"redacted": ["name", "age_proxies", "gender_proxies"]
role.json
Senior Backend Engineer
Go · 3y+KubernetesPostgreSQL
0
strong
✓ Go — 5.4 yrs verified✓ Kubernetes○ Kafka — nice-to-have, missed
Why Rezmatch.ai

The matcher is the product

Anyone can cosine-similarity two documents. Calibrated scores that hiring teams can defend — that's the hard part, and it's the part we obsess over.

Parsing that survives real résumés

Any industry, any formatting — nurses and accountants, not just engineers. E.164 phones, canonical employers and titles, computed tenures, taxonomy-pinned skills.

Scores with receipts

Met and missed requirements with evidence, and hard gates that similarity can't sweet-talk: a missing must-have caps the score, period.

Fair by architecture

Every requirement verdict is grounded in quoted résumé evidence, and automated parity tests verify that name, age and ethnicity signals never move a score.

Nothing to breach

Documents are deleted the moment your response is produced. No candidate database, no retention, no liability surface.

Developers

One request.
Both documents. A defensible score.

Every endpoint takes text, url, or file — job-board URLs fetch directly, PDFs parse natively. Uniform envelope, stable error codes, failures refunded.

  • OpenAPI 3.0 spec + interactive playground
  • Parse once, match many — reuse candidate JSON across a whole pool
  • Free normalize endpoints to smoke-test your integration
curl -X POST https://api.rezmatch.ai/match \
  -H "x-access-key: $REZMATCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "resume_url": "https://files.acme.dev/resume.pdf",
    "jd_url": "https://job-boards.greenhouse.io/acme/jobs/123456"
  }'
Add to Claude — one URL, zero keys
https://mcp.rezmatch.ai
Paste as a custom connector, sign in, done. Tool calls meter against your normal balance.
parse_resumeparse_jdmatch_candidate_rolescore_requirementsextract_skillsredact_textnormalize_titlenormalize_skill
Built for the agent era

Your recruiting agent already knows how to use it

A hosted MCP server with OAuth connect, plus an Agent Skills pack for coding agents. The fairness rules ship inside both — an agent using Rezmatch.ai can't skip the parity-tested scoring path or turn scores into verdicts.

REST, MCP, and Skills are one surface: same credits, same limits, same explanations. No agent-only pricing games.

Pricing

Credits, not seats

A full screening — parse a résumé, match it against a role — is 8 credits. Failed calls are refunded. Per-credit price falls as tiers rise, and paid tiers accept larger documents at higher rate limits.

Free
$0/mo
100 starter credits
~11 screenings
60 requests/min
Résumés up to 2 pages
Kick the tires on real documents.
Starter
$19.99/mo
400 credits / mo
~44 screenings
120 requests/min
Résumés up to 10 pages
First production integration.
Popular
Growth
$79.99/mo
1,800 credits / mo
~200 screenings
300 requests/min
Résumés up to 10 pages
Steady screening volume.
Scale
$399.99/mo
10,000 credits / mo
~1,110 screenings
600 requests/min
Résumés up to 10 pages
High-volume pipelines.
Enterprise
Custom
Custom volume
SLA & invoicing
Custom limits
Custom document sizes
Tailored to your pipeline.
Need a top-up, not a subscription?

Packs cost more per credit than any subscription — if you buy regularly, a plan is the better deal.

FAQ

Questions, answered