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SiteCheck Jobs & Property – Resume ATS Keyword Coverage Scorer
x402
SiteCheck Jobs & Property – Resume ATS Keyword Coverage Scorer is a paid API for AI agents from api.jobsproperty-api.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-29).
Compares a plain-text resume against a plain-text job ad to extract key terms, score keyword coverage (0–100), and list missing terms to add.
Price / call$0.002
Success—
StatusUnknown
How this service works
Resume vs job-ad keyword check, the way applicant tracking systems screen: extracts the job ad's key terms (words and two-word phrases, weighted by frequency), shows which the resume already covers and which are missing, and gives a 0-100 coverage score and the top terms to add. Plain text analysis of the two texts you send; no AI rewriting and no data is stored.
Output
Returns a JSON object with a 0–100 integer coverage score, an array of covered terms each with a frequency weight, an array of missing terms each with a frequency weight (sorted by importance), and a suggestions array with plain-English recommendations for which terms to add to the resume if applicable.
Example use cases
ATS keyword gap check before applying
“I'm about to apply for this data engineering role — can you run my resume against the job description and give me a keyword coverage score plus the terms I should add? My resume starts with 'Experienced data engineer with 5 years in ETL, Python, and AWS...' and the job ad says 'Seeking a Data Engineer with Spark, Kafka, Airflow, dbt, and AWS experience...'”
Tailoring a CV for a specific role
“I've been tweaking my resume for a product manager position. Can you compare it to this job posting and tell me which keywords from the job ad I haven't covered yet, and what my overall match score is? My resume is: 'Product manager with 4 years experience in roadmap planning, stakeholder management, and agile delivery...' The job ad reads: 'We need a PM with experience in OKRs, user research, agile, go-to-market strategy, and cross-functional leadership...'”
Recruiters screening candidate resumes
“I have a candidate's resume and our job listing — can you score how well the resume covers our job ad's key terms and list the top 30 missing phrases? The candidate's resume says 'Software engineer with experience in React, Node.js, and REST APIs...' and our job ad requires 'React, TypeScript, GraphQL, CI/CD, Docker, and microservices experience.'”
Technical details
Endpoint
GEThttps://api.jobsproperty-api.workers.dev/api/jobs/cv-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, deterministic ATS-style keyword gap analysis between a resume and a job ad without AI rewriting or data storage. Ideal for agents helping users tailor resumes before applying, or for recruiters doing lightweight candidate screening. Prefer this over AI-based resume rewriters when the user wants transparency about which exact terms are missing and a reproducible numeric score, rather than a rewritten document.
Side effects
- Missing 'resume' or 'job' query parameters returns an error
- Resume or job text exceeding character limits (6,000 / 4,000 chars) may be truncated or rejected
- Very short or generic job ads may yield few extractable terms and a low-signal score
- Non-English text may produce poor keyword extraction results
- Score reflects keyword coverage only — not experience relevance, truthfulness, or semantic similarity
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "Keyword coverage only; it does not judge experience or truthfulness.",
"score": 58,
"covered": [
{
"term": "airflow",
"weight": 1
},
{
"term": "aws",
"weight": 1
}
],
"missing": [
{
"term": "spark",
"weight": 2
},
{
"term": "kafka",
"weight": 1
}
],
"suggestions": [
"If true for you, mention \"spark\" in the resume.",
"If true for you, mention \"kafka\" in the resume."
]
}
}Tags
x402
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