Rafid Intelligence Network — Job Profile Generator

x402

Rafid Intelligence Network — Job Profile Generator is a paid API for AI agents from api.rafidsystem.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-10).

Generates a structured, scored job profile from a raw job description, extracting required/preferred skills, seniority, keywords, and a weighted scoring model for candidate evaluation.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Rafid Agent API provides structured intelligence and paid APIs for AI agents across property, company and risk, supplier, finance, document, website, automotive, logistics, recruitment, trading, voice, video and business-planning workflows.

Output

Returns a structured JSON object containing: job title, seniority level, role family, industry tags, keywords, required and preferred skills with weights and importance flags, responsibilities, domain experience requirements, certifications, education requirements, language and location requirements, technical and leadership requirements, employment type, required and preferred years of experience, and a weighted scoring model with configurable weights for skills, experience, education, domain, and responsibilities.

Example use cases

Automated ATS job profile ingestion

“We just received a job description for a Senior Backend Engineer — can you parse it into a structured profile with required skills, preferred skills, experience requirements, and a weighted scoring model so our ATS can rank candidates automatically?”

Recruiter job posting analysis

“I've got this job posting for a Marketing Manager position. Can you extract all the key skills, seniority, keywords, and role details into a structured format so I can build a shortlist scoring rubric?”

Multi-language job profile standardization

“Here's a job description written in French for a Cloud DevOps Engineer. Please generate a structured job profile from it — detect the language automatically and return the skills, seniority, scoring weights, and experience requirements in JSON.”

Technical details

Endpoint

POSThttps://api.rafidsystem.com/api/v1/x402/recruitment/generate-job-profile?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to convert an unstructured job description into a machine-readable, weighted candidate-scoring profile — especially for recruitment automation, ATS integration, or candidate matching workflows. It is distinct from generic NLP extraction APIs because it returns recruitment-specific structured fields (role family, seniority, scoring model weights, required vs preferred skills) purpose-built for talent acquisition pipelines.

Side effects

Empty or nonsensical job_description returns a minimal or empty profile
Unsupported language may produce degraded extraction quality
Very short job descriptions may result in missing fields like seniority or responsibilities
Oversized job_description exceeding 100,000 characters will be rejected
Missing required job_description field returns a 400 validation error
Payment failure or expired x402 token results in 402 Payment Required

Input

Schema · Request body

Field	Type	Description
language	string
job_title	string
job_description	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "industry": [],
    "keywords": [
      "Python",
      "SQL",
      "Microsoft Power BI"
    ],
    "job_title": "Data Analyst",
    "seniority": "mid",
    "role_family": "",
    "scoring_model": {
      "domain_weight": 10,
      "skills_weight": 40,
      "education_weight": 10,
      "experience_weight": 25,
      "responsibilities_weight": 15
    },
    "certifications": [],
    "employment_type": null,
    "required_skills": [
      {
        "skill": "Python",
        "weight": 35,
        "importance": "required"
      }
    ],
    "preferred_skills": [
      {
        "skill": "Microsoft Power BI",
        "weight": 30,
        "importance": "preferred"
      }
    ],
    "responsibilities": [],
    "domain_experience": [],
    "required_education": [],
    "language_requirements": [],
    "location_requirements": null,
    "technical_requirements": [],
    "leadership_requirements": [],
    "required_experience_years": 3,
    "preferred_experience_years": null
  }
}

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