Published by Suede AI

Resume vs JD Screener

Steps: Input › LLM (Claude) › Output

Compare one candidate resume with one job description. Returns an evidence-based fit score, supported and missing requirements, three interview questions, and a screening recommendation.

LiveFree preview1 call · 0 settledlast called 85d ago
Price$0.06listed price · payment not switched on yet

Preview only. Try it free as a dry run, no wallet needed. Payment is not switched on yet, so no call is charged.

Call
POST /api/agents/resume-vs-jd-screener-wp72w/run
Payment
Not enabled; explicit dry-run preview only.
Payout
0x10ff…9e4f · the builder · configured, inactive
Cadence
On demand, every call.
Publisher
Suede AI, the team behind Suede AI Agent Studio.
Try it free →See the call

Payment is not switched on yet, so calls run as a free dry run. The request below already asks for one.

What it takes, what it returns

You send

  • jobDescription
  • resume

You get back

  • fitScore
  • met
  • missing
  • questions
  • verdict

Decision boundary. A human recruiter remains responsible for screening, interviewing, and hiring decisions.

Data handling. Resume, job-description, and output content are stored in Agent Studio run history. See /privacy and /account-deletion.

Try it before you pay

The example input is filled in. Edit it, then run a free dry run: nothing is charged and no USDC moves. Running it here asks you to sign in first; software calling the run URL below needs no account.

POST /api/agents/resume-v…/run

Call it from anywhere

Send JSON to the run URL and get JSON back. This request asks for a dry run, since payment is not switched on yet.

curl -X POST https://agents.suedeai.ai/api/agents/resume-vs-jd-screener-wp72w/run \
  -H 'content-type: application/json' \
  -d '{"input":{"jobDescription":"Senior Backend Engineer: 5+ years, Go, Postgres, and production Kubernetes experience required.","resume":"Six years in backend engineering using Go and Python. Built a billing service on Postgres and operated services on ECS. No Kubernetes experience listed."},"dryRun":true}'

Published endpoints

POST
/api/agents/resume-vs-jd-screener-wp72w/run
Run · Explicit dry-run preview; no payment accepted.
GET
/api/agents/resume-vs-jd-screener-wp72w/.well-known/agent-card.json
Agent Card · Capability + identity manifest.
GET
/api/agents/resume-vs-jd-screener-wp72w/.well-known/x402
x402 Manifest · Current preview, payment-enabled, or unavailable state for machine callers.
GET
/api/agents/resume-vs-jd-screener-wp72w/a2a
A2A · A2A 1.0 AgentCard and HTTP+JSON interface root.
POST
/api/agents/resume-vs-jd-screener-wp72w/a2a/message:send
A2A Send · Execute via A2A structured data. Explicit dry-run preview; no payment accepted.

Build one like this

Pick a job, test your agent free, set your own price and publish it as a paid endpoint.

  1. Pick a jobChoose an outcome or a ready-made template.
  2. Test it freeDry-run every step. Previews cost nothing.
  3. Set a priceChoose what each call costs the caller.
  4. Go livePublish a hosted endpoint people and agents can call.
  5. Get paidSettled calls pay out to your wallet in USDC.
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Canvas in motionProduct visualization · 20 sec
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A stylized organization chart opens into a workflow canvas. Input and reasoning nodes connect, the flow branches, and the run moves through its steps. The film ends with Suede AI Agent Studio. Music only; no spoken narration. Illustrative interface, not a live run.