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.
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"
}