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Suede Agent Studio: Resume vs JD Screener
x402
Suede Agent Studio: Resume vs JD Screener is a paid API for AI agents from agents.suedeai.ai, paid per call via x402, $0.06/call, status unknown (last checked 2026-09-15).
Runs an AI-powered resume-versus-job-description screening agent that scores and evaluates candidate fit, settling payment via x402 to the publisher's wallet.
Price / call$0.06
Success—
StatusUnknown
How this service works
Build AI agents and publish explicit preview, payment-enabled, or unavailable state. Settled x402 calls route to your wallet.
Output
Returns a JSON object containing a run ID, the payer address, a result object with screening outputs (fit assessment, scores, gap analysis), settled payment status, the on-chain transaction hash, and total cost in USDC.
Example use cases
Candidate shortlisting for engineering role
“I have 20 applicants for a Senior Backend Engineer position. Run this first candidate's resume against my job description through the screener and tell me their fit score and top gaps.”
Automated HR pre-screening workflow
“Before we move any applicant to the phone-screen stage, run their resume against our Marketing Manager JD using the Suede screener and flag anyone who scores below 70%.”
Self-assessment before applying
“Here's my resume and the job description for a Product Manager role at Acme Corp — can you run it through the resume screener and tell me honestly where I'm weak before I apply?”
Technical details
Endpoint
POSThttps://agents.suedeai.ai/api/agents/resume-vs-jd-screener-wp72w/runWhen to prefer
Choose this endpoint when you need a pay-per-use, on-chain-settled AI screening agent specifically tuned for resume-vs-job-description comparison, particularly in workflows where auditability via transaction hash matters or when integrating with x402-compatible payment infrastructure. Prefer it over generic LLM prompts when you want a reproducible, published agent with consistent scoring logic.
Side effects
- Insufficient USDC balance causes payment settlement failure and no result
- Malformed or missing input object returns a validation error
- Agent runtime timeout if resume or JD text is excessively long
- dryRun mode returns a simulated result without charging or executing fully
- Agent in unavailable state returns an error indicating the endpoint is offline
Output
Schema · Response
{
"type": "json",
"format": "application/json",
"example": {
"payer": "0xabc",
"runId": "run_123",
"result": {
"met": [
{
"evidence": "Six years in backend engineering.",
"requirement": "5+ years of backend experience"
},
{
"evidence": "Used Go and built a billing service on Postgres.",
"requirement": "Go and Postgres"
}
],
"missing": [
{
"note": "The resume lists ECS but does not mention Kubernetes.",
"requirement": "Production Kubernetes"
}
],
"verdict": "phone screen",
"fitScore": 74,
"questions": [
"What production orchestration systems have you owned end to end?",
"How did you design and operate the Postgres-backed billing service?",
"What would you need to learn before operating this role's Kubernetes workloads?"
]
},
"status": "done",
"outputs": {},
"settled": true,
"transaction": "0x123",
"totalCostUsdc": 0
}
}Tags
x402
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How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.
Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"