NetIntel Resume Extractor is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-13).
Parses and extracts structured resume data (name, skills, experience, education, contact) from raw resume content, with a quality grade and score
Extract structured data from resume/CV text using Claude Haiku — returns name, contact info, skills, work experience, and education as clean JSON arrays so agents can automate applicant screening, candidate databases, and recruiting workflows from raw resume text.
A JSON object containing: a letter grade (e.g. 'A') and numeric score (0-100) rating resume quality, a 'resume' object with structured fields (name, summary, skills array, contact details including email/phone/location/links, experience entries with company/title/start/end/description, education entries with degree/institution/year), plus findings (issues flagged), and counts for skills, education, and experience. Indicates whether the result was cached.
POSThttps://netintel-production-440c.up.railway.app/extract/resumeUse this endpoint when you need to programmatically extract structured candidate data from unstructured resume text or documents, especially when you also want a quality/completeness grade. Ideal for ATS integrations, candidate screening pipelines, or any workflow where resume data needs to be normalized into a consistent JSON schema. Prefer this over generic document extractors for its resume-specific grading and structured output.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"cached": false,
"resume": {
"name": "Jane Doe",
"skills": [
"Python",
"TypeScript",
"Kubernetes"
],
"contact": {
"email": "jane@example.com",
"links": [
"https://linkedin.com/in/janedoe"
],
"phone": "+1 555 867 5309",
"location": "San Francisco, CA"
},
"summary": "Senior engineer with 10 years experience...",
"education": [
{
"year": "2014",
"degree": "BS Computer Science",
"institution": "UC Berkeley"
}
],
"experience": [
{
"end": "present",
"start": "2020",
"title": "Staff Engineer",
"company": "Acme Corp",
"description": "Led platform team"
}
]
},
"findings": [],
"skills_count": 3,
"education_count": 1,
"experience_count": 1
}
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