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Quickstart

This guide walks you through the complete Fribl workflow: analyzing a CV, analyzing a job description, polling for completion, and running a match.

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Prerequisites

  • A Fribl API key (contact Fribl to obtain one)
  • A tool for making HTTP requests (cURL, Postman, or any HTTP client)
  • Tokens in your workspace — analyzing and matching are billable
This walkthrough consumes a handful of tokens (analyzing one CV and one job, then one match). Check your balance first, and top up in the Fribl Console if needed:
curl https://api-service.fribl.co/api/v1/tokens/balance \
  -H "x-api-key: your-api-key-here"
See Tokens & Billing for pricing. Failed tasks are refunded automatically, so you only pay for work that completes.

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Step 1: Analyze a CV

Submit one or more CVs for analysis. The inputs field accepts an array of CV text strings. 
curl -X POST https://api-service.fribl.co/api/v1/cvs/analyze \
  -H "x-api-key: your-api-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      "John Doe\nSenior Software Engineer\n\nExperience:\n- Senior Software Engineer at Tech Corp (2020-2023)\n  Led development of microservices architecture using Node.js and Python\n\n- Software Engineer at StartupCo (2017-2020)\n  Built REST APIs and React frontends\n\nSkills: JavaScript, Python, React, Node.js, Docker, Team Leadership, Communication\n\nEducation:\n- MSc Computer Science, University of Amsterdam (2015-2017)\n\nLanguages: English (Native), Dutch (B2)"
    ]
  }'

import requests

response = requests.post(
    "https://api-service.fribl.co/api/v1/cvs/analyze",
    headers={
        "x-api-key": "your-api-key-here",
        "Content-Type": "application/json"
    },
    json={
        "inputs": [
            "John Doe\nSenior Software Engineer\n\nExperience:\n"
            "- Senior Software Engineer at Tech Corp (2020-2023)\n"
            "  Led development of microservices architecture\n\n"
            "Skills: JavaScript, Python, React, Node.js, Docker\n\n"
            "Education:\n- MSc Computer Science, University of Amsterdam (2015-2017)"
        ]
    }
)

data = response.json()["data"]
cv_id = data["ids"][0]
print(f"CV Task ID: {cv_id}")

const response = await fetch(
  "https://api-service.fribl.co/api/v1/cvs/analyze",
  {
    method: "POST",
    headers: {
      "x-api-key": "your-api-key-here",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      inputs: [
        "John Doe\nSenior Software Engineer\n\nExperience:\n- Senior Software Engineer at Tech Corp (2020-2023)\n\nSkills: JavaScript, Python, React, Node.js\n\nEducation:\n- MSc Computer Science, University of Amsterdam",
      ],
    }),
  }
);

const { data } = await response.json();
const cvId = data.ids[0];
console.log(`CV Task ID: ${cvId}`);
The API returns task IDs and a PENDING status. Save the ID for status polling.
Response
{
  "message": "Analyze CVs request received!",
  "data": {
    "ids": ["a1b2c3d4-e5f6-7890-abcd-ef1234567890"],
    "status": "PENDING"
  }
}

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Step 2: Poll for completion

Check the processing status until it reaches COMPLETED. Continue polling while the task is PENDING, and handle NOT_FOUND explicitly. 
curl -X POST https://api-service.fribl.co/api/v1/cvs/status \
  -H "x-api-key: your-api-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "ids": ["a1b2c3d4-e5f6-7890-abcd-ef1234567890"]
  }'

import time

while True:
    status_resp = requests.post(
        "https://api-service.fribl.co/api/v1/cvs/status",
        headers={"x-api-key": "your-api-key-here", "Content-Type": "application/json"},
        json={"ids": [cv_id]}
    )
    status = status_resp.json()["data"][0]["status"]
    if status == "COMPLETED":
        print("CV analysis complete!")
        break
    elif status == "FAILED":
        print("CV analysis failed.")
        break
    elif status == "NOT_FOUND":
        print("CV task not found.")
        break
    time.sleep(3)
Response
{
  "message": "Successfully retrieved CVs status",
  "length": 1,
  "data": [
    {
      "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
      "original_id": null,
      "status": "COMPLETED"
    }
  ]
}

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Step 3: Analyze a job description

Submit a job description for analysis using the same pattern. 
curl -X POST https://api-service.fribl.co/api/v1/jobs/analyze \
  -H "x-api-key: your-api-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      "Senior Software Engineer\n\nWe are looking for a Senior Software Engineer to join our team in Amsterdam.\n\nRequirements:\n- 5+ years of experience with JavaScript and Python\n- Experience with React and Node.js\n- Knowledge of Docker and CI/CD\n- Strong communication and leadership skills\n- MSc in Computer Science or related field"
    ]
  }'

job_resp = requests.post(
    "https://api-service.fribl.co/api/v1/jobs/analyze",
    headers={"x-api-key": "your-api-key-here", "Content-Type": "application/json"},
    json={
        "inputs": [
            "Senior Software Engineer\n\nRequirements:\n"
            "- 5+ years of experience with JavaScript and Python\n"
            "- Experience with React and Node.js\n"
            "- Strong communication and leadership skills\n"
            "- MSc in Computer Science or related field"
        ]
    }
)

job_id = job_resp.json()["data"]["ids"][0]
print(f"Job Task ID: {job_id}")
Poll POST /jobs/status for the job as well, using the same pattern as Step 2. Both the CV and job must reach COMPLETED before matching.

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Step 4: Match the candidate to the job

Once both reach COMPLETED status, run a match with your preferred scoring weights. 
curl -X POST https://api-service.fribl.co/api/v1/match \
  -H "x-api-key: your-api-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "jobId": "b2c3d4e5-f6a7-8901-bcde-f12345678901",
    "topK": 5,
    "weights": {
      "experience": 0.25,
      "hardSkills": 0.25,
      "softSkills": 0.25,
      "education": 0.25
    },
    "candidatesIds": ["a1b2c3d4-e5f6-7890-abcd-ef1234567890"]
  }'

match_resp = requests.post(
    "https://api-service.fribl.co/api/v1/match",
    headers={"x-api-key": "your-api-key-here", "Content-Type": "application/json"},
    json={
        "jobId": job_id,
        "topK": 5,
        "weights": {
            "experience": 0.25,
            "hardSkills": 0.25,
            "softSkills": 0.25,
            "education": 0.25
        },
        "candidatesIds": [cv_id]
    }
)

print(match_resp.json())
The response includes ranked candidates with per-dimension scoring and explanations:
Response
{
  "message": "Match result",
  "length": 1,
  "data": [
    [
      {
        "score_meta": {
          "education": 8.5,
          "hard_skills": 7.2,
          "soft_skills": 8.0,
          "experience": 6.5
        },
        "score_dict": {
          "education": {
            "MSc in Computer Science": {
              "score": 9,
              "criteria": "Relevant degree in required field",
              "explanation": "Candidate holds an MSc in Computer Science from the University of Amsterdam, directly matching the required qualification."
            }
          },
          "hard_skills": {
            "JavaScript": {
              "score": 8,
              "criteria": "Proficiency in JavaScript",
              "explanation": "Demonstrated extensive JavaScript experience across multiple roles including React and Node.js projects."
            },
            "Python": {
              "score": 7,
              "criteria": "Proficiency in Python",
              "explanation": "Used Python for microservices development at Tech Corp."
            }
          },
          "soft_skills": {
            "Team Leadership": {
              "score": 8,
              "criteria": "Leadership capability",
              "explanation": "Led development teams and managed cross-functional projects at Tech Corp."
            }
          },
          "experience": {
            "5+ years software development": {
              "score": 7,
              "criteria": "Years of relevant experience",
              "explanation": "Candidate has 6 years of professional software engineering experience across two roles."
            }
          }
        },
        "summary_score": 7.55,
        "final_score": 7.55,
        "person_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
        "job_id": "b2c3d4e5-f6a7-8901-bcde-f12345678901"
      }
    ]
  ]
}

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File upload alternative

You can upload CV and job files directly instead of providing text: 
curl -X POST https://api-service.fribl.co/api/v1/cvs/analyze/files \
  -H "x-api-key: your-api-key-here" \
  -F "files=@/path/to/cv.pdf"
Supported formats: PDF, DOC, DOCX (max 50MB).

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Next steps

API Reference

Explore all 21 endpoints in detail with interactive examples.

Error Handling

Understand error responses and processing statuses.