Api Endpoint

NetIntel

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.

Open interactive test console

Offering

Provider
netintel.dev
Method
POST
Offering type
Api Endpoint
Transport type
http
Category
Business And Commerce
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://netintel.dev/extract/resume
MIME type
Not provided
First seen
2026-10-16T01:50:14.534Z
Last seen
Tags
data extraction, document parsing, structured data, text to json, llm extraction

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.02 USDC
Atomic price: 20000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.02 USDC
Atomic price: 20000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "20000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "20000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
100 ms
Average latency
337 ms
HTTP status
204
Last checked
Reachability
100% over 12 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "additionalProperties": false,
  "properties": {
    "body": {
      "properties": {
        "text": {
          "description": "The resume or CV text to extract structured data from. Max 10000 words or 50KB.",
          "type": "string"
        }
      },
      "required": [
        "text"
      ],
      "type": "object"
    },
    "bodyType": {
      "enum": [
        "json",
        "form-data",
        "text"
      ],
      "type": "string"
    },
    "method": {
      "enum": [
        "POST"
      ],
      "type": "string"
    },
    "type": {
      "const": "http",
      "type": "string"
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "type": "object"
}

Output schema

{
  "properties": {
    "example": {
      "properties": {
        "cached": {
          "description": "True if served from the in-memory cache.",
          "type": "boolean"
        },
        "education_count": {
          "description": "Number of education entries extracted.",
          "type": "number"
        },
        "experience_count": {
          "description": "Number of work-experience entries extracted.",
          "type": "number"
        },
        "findings": {
          "description": "Informational findings (e.g. no_experience, no_skills, no_name).",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "grade": {
          "description": "Letter grade A-F",
          "type": "string"
        },
        "resume": {
          "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.",
          "type": "object"
        },
        "score": {
          "description": "Quality score 0-100",
          "type": "number"
        },
        "skills_count": {
          "description": "Number of skills extracted.",
          "type": "number"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}