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Rafid CV Improve — AI-Powered CV Enhancement API
x402
Rafid CV Improve — AI-Powered CV Enhancement API is a paid API for AI agents from api.rafidsystem.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-10).
Analyzes and improves a candidate's CV with ATS optimization, rewritten sections, and prioritized recommendations aligned to a target job description
Price / call$0.25
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
Returns a JSON object containing: a numeric current_score for the CV, prioritized priority_actions to take immediately, ATS-specific recommendations, skill grouping suggestions with canonical naming, a rewritten or improved summary recommendation, experience bullet rewrites in action-context-result format, relevant keywords to incorporate, and if a target job description is provided, job-specific tailored recommendations. Also includes warnings noting that invented experience or metrics are never added.
Example use cases
ATS optimization for job application
“My resume keeps getting filtered out before reaching recruiters — can you run ATS optimization on my CV and tell me which standard headings and keywords I'm missing so it passes applicant tracking systems for this data analyst role?”
Rewriting experience bullets with impact
“I need you to rewrite my work experience section so each bullet follows the action-context-result format and includes measurable achievements where I've provided numbers — here's my full CV text.”
Tailored CV for a specific job posting
“Here's my current CV and a job description for a senior DevOps engineer position — can you give me job-specific recommendations and highlight the keywords I should add to make my application stand out?”
Technical details
Endpoint
POSThttps://api.rafidsystem.com/api/v1/x402/recruitment/cv-improve?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to provide structured, actionable CV improvement feedback with ATS awareness and optional job-targeting, especially within a recruitment or career-coaching workflow. It is particularly strong for multi-mode analysis (recommendations, rewrites, ATS scoring, full plans) in a single call. Prefer it over generic LLM prompts when you need a consistent scored output schema that can be parsed and acted upon programmatically.
Side effects
- CV text exceeds 200,000 character limit — request rejected
- Target job description exceeds 100,000 character limit — request rejected
- Invalid mode enum value — returns validation error
- Empty or missing cv_text field — returns error
- Payment not provided or insufficient USDC — 402 Payment Required
- Malformed JSON body — 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | |
| cv_text | string | |
| candidate_profile | — | |
| target_job_description | — |
Output
Schema · Response
{
"type": "json",
"example": {
"warnings": [
"Recommendations never invent experience, achievements, technologies, certifications or metrics."
],
"current_score": 65,
"priority_actions": [
"Use evidence-backed achievement bullets.",
"Keep dates and role titles consistent."
],
"rewrite_examples": [],
"ats_recommendations": [
"Use standard section headings and consistent dates."
],
"keywords_to_consider": [],
"skill_recommendations": [
"Group skills by category and use canonical names."
],
"summary_recommendations": [
"Lead with a concise role-relevant summary backed by evidence."
],
"experience_recommendations": [
"Rewrite bullets as action, context, result; add numbers only when known."
],
"job_specific_recommendations": []
}
}Tags
x402
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