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CareerPulse Resume Critique
x402
CareerPulse Resume Critique is a paid API for AI agents from careerpulse-steel.vercel.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Analyzes resume text and returns verbatim before/after bullet rewrites, ATS compatibility flags, gaps vs. target role, and country-specific formatting norms for US, UK, Germany, Australia, and India.
Price / call$0.25
Success—
StatusUnknown
How this service works
Resume critique with verbatim before/after bullet rewrites, ATS-compatibility flags, gaps vs target role, and country-specific format norms (US, UK, Germany, Australia, India). Submit real resume text via POST body or resume_text query param, 15k char cap.
Output
Returns a structured critique including verbatim before/after rewrites of resume bullets, ATS compatibility flags highlighting problematic formatting or keyword gaps, a list of skill or experience gaps relative to the target role, and country-specific formatting recommendations for the chosen locale (US, UK, Germany, Australia, or India).
Example use cases
ATS-optimized resume for US tech role
“Here's my resume — can you check it for ATS compatibility and rewrite any weak bullet points with before/after examples? I'm targeting a software engineer role in the US.”
CV reformatted for UK job market
“I'm applying for marketing manager jobs in the UK and want to make sure my CV follows British formatting norms. Can you critique it, flag any issues, and show me how to rewrite the bullets that aren't strong enough?”
Identify skill gaps for career change
“I'm switching from accounting to data analytics in Australia. Can you review my resume, identify what's missing compared to a data analyst role, and rewrite my bullet points to be more relevant — show me the before and after for each change?”
Technical details
Endpoint
GEThttps://careerpulse-steel.vercel.app/api/career/resume-critiqueWhen to prefer
Choose this endpoint when you need actionable, line-by-line resume feedback with concrete before/after rewrites rather than generic advice. It is especially valuable when targeting a specific country's job market, needing ATS keyword analysis, or identifying precise skill gaps against a known role — use it instead of general LLM prompts when you want structured, citation-quality output with country-specific formatting norms.
Side effects
- Resume text exceeds 15,000 character limit — request rejected
- Missing resume_text parameter — returns error requiring input
- Unsupported country code — falls back to generic feedback or returns error
- Malformed or non-resume text — may return low-quality or irrelevant critique
- Target role not specified — gap analysis may be generic rather than role-specific
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"country_norms": {
"target_country_guidance": "US: no photo, 1 page preferred, reverse-chronological"
},
"impact_rewrites": [
{
"why": "Replaces duty language with scope and a measurable outcome",
"original": "Responsible for managing a team of engineers",
"rewritten": "Led a 6-person engineering team, cutting release cycle time 35% over 2 quarters"
}
],
"ats_compatibility": {
"flags": [
"Multi-column layout implied by spacing — may misorder in ATS parsers"
]
},
"gaps_vs_target_role": [
"No cloud infrastructure experience listed for a role that requires it"
]
}
}Tags
x402
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