# netintel.dev Resume Extractor

> netintel.dev Resume Extractor is a paid API for AI agents from netintel.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Parses and extracts structured resume data (name, skills, experience, education, contact info) from a resume document, returning a graded JSON profile.

## Facts

- Endpoint: POST https://netintel.dev/extract/resume
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/netintel-dev-resume-extractor-1b19af55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_l5GtsT_2q149n9bCMZIEJ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability netintel-dev-resume-extractor-1b19af55 -d '<json body>'
```

Example prompt: Can you parse this resume for Jane Doe and extract her name, contact info, skills, work experience, and education into a structured profile — and give it a quality grade?

## When to prefer this

Use this endpoint when you need to convert an unstructured resume or CV into a fully structured JSON profile with grading, particularly in recruiting pipelines, applicant tracking integrations, or talent screening workflows. Prefer this over general document parsers when you need resume-specific fields like skills, work experience, and education with quality scoring built in.

## Known failure modes

- Unparseable or corrupt document returns error with no resume object
- Missing required resume content yields low score with empty fields
- Payment not provided returns HTTP 402 requiring USDC micropayment on Base
- Malformed request body returns 400 error
- Rate limiting or server error returns 5xx

## How this service works

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.

## Output

A JSON object containing a letter grade (e.g. 'A') and numeric score (0-100), plus a fully structured resume object with name, summary, skills array, contact details (email, phone, location, links), work experience entries (title, company, start/end dates, description), and education entries (degree, institution, year). Also includes skills_count, experience_count, education_count, and a findings array for any issues detected.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method",
    "bodyType",
    "body"
   ],
   "properties": {
    "body": {
     "type": "object",
     "required": [
      "text"
     ],
     "properties": {
      "text": {
       "type": "string",
       "description": "The resume or CV text to extract structured data from. Max 10000 words or 50KB."
      }
     }
    },
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "POST"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json",
      "form-data",
      "text"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "properties": {
      "grade": {
       "type": "string",
       "description": "Letter grade A-F"
      },
      "score": {
       "type": "number",
       "description": "Quality score 0-100"
      },
      "cached": {
       "type": "boolean",
       "description": "True if served from the in-memory cache."
      },
      "resume": {
       "type": "object",
       "description": "Parsed resume fields: name, contact ({email, phone, location, links}), summary, skills (array), experience (array of {title, company, start, end, description}), education (array of {degree, institution, year}). Missing scalar fields are null; arrays are empty when nothing is found."
      },
      "findings": {
       "type": "array",
       "items": {
        "type": "string"
       },
       "description": "Informational findings (e.g. no_experience, no_skills, no_name)."
      },
      "skills_count": {
       "type": "number",
       "description": "Number of skills extracted."
      },
      "education_count": {
       "type": "number",
       "description": "Number of education entries extracted."
      },
      "experience_count": {
       "type": "number",
       "description": "Number of work-experience entries extracted."
      }
     }
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/netintel-dev-resume-extractor-1b19af55/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from netintel.dev](https://www.zero.xyz/host/netintel.dev/llms.txt)