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Rafid CV Score — Resume Quality & ATS Readiness Scorer
x402
Rafid CV Score — Resume Quality & ATS Readiness Scorer is a paid API for AI agents from api.rafidsystem.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-10).
Analyzes a CV/resume text and returns a structured quality score with dimensional breakdowns, strengths, weaknesses, and prioritized improvement suggestions
Price / call$0.2
Success—
StatusUnknown
How this service works
Rafid Agent API provides structured intelligence and paid APIs for AI agents across property, company and risk, supplier, finance, document, website, automotive, logistics, recruitment, trading, voice, video and business-planning workflows.
Output
A JSON object containing an overall integer score (0–100), dimensional sub-scores for skills, clarity, experience, achievements, completeness, and ATS readability, a confidence float, lists of strengths and weaknesses, missing sections, and a prioritized list of high-impact improvements to make.
Example use cases
Job seeker resume self-audit
“Can you score my resume and give me a detailed breakdown of what's strong, what's weak, and exactly what to fix before I apply? Here's the full CV text, and the role I'm targeting is Data Scientist.”
Recruiter bulk candidate screening
“I've got a candidate's CV text here — can you score it against a Backend Engineer role and flag any major gaps or missing sections so I can triage quickly?”
Career coach client feedback tool
“My client wants feedback on their CV before a big interview push. Can you run it through the CV scorer targeting a Marketing Manager position and give me the dimensional scores plus the top improvements to share with them?”
Technical details
Endpoint
POSThttps://api.rafidsystem.com/api/v1/x402/recruitment/cv-score?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a structured, multi-dimensional quality assessment of a resume or CV — particularly when ATS readability, completeness, and specific improvement guidance are required. Prefer this over generic LLM-based resume feedback when you need consistent, machine-readable scores with dimensional breakdowns that can be compared across candidates or tracked over time.
Side effects
- cv_text missing or empty — likely returns a validation error or zero score
- cv_text exceeds 200,000 character limit — request rejected
- Malformed JSON input — 400 error
- Low confidence score returned when CV text is ambiguous or very short
- target_role not provided may result in generic rather than role-specific feedback
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| cv_text | string | |
| target_role | — | |
| candidate_profile | — |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 75,
"warnings": [],
"strengths": [
"Work history is present.",
"Skills are explicitly listed."
],
"confidence": 0.7,
"dimensions": {
"skills": 80,
"clarity": 80,
"experience": 75,
"achievements": 45,
"completeness": 65,
"ats_readability": 75
},
"weaknesses": [
"Add measurable outcomes where known."
],
"missing_sections": [
"education"
],
"high_priority_improvements": [
"Use evidence-backed achievement bullets.",
"Keep dates and role titles consistent."
]
}
}Tags
x402
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