Extract structured data from resume/CV text using Claude Haiku — returns name, c
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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
917 msmedian answer time
$0.02listed price per call
$0.02price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://netintel.dev/extract/resume
| Category | Search and research |
|---|---|
| Provider host | netintel.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.02 | 917 ms |
Example input (from the provider)
{
"body": {
"text": "Jane Doe\nSan Francisco, CA | jane@example.com | +1 555 867 5309 | linkedin.com/in/janedoe\n\nSummary: Senior engineer with 10 years experience.\n\nSkills: Python, TypeScript, Kubernetes\n\nExperience:\nStaff Engineer, Acme Corp (2020-present) \u2014 Led platform team\n\nEducation:\nBS Computer Science, UC Berkeley, 2014"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"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": {
"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"
}
},
"required": [
"input"
],
"type": "object"
}