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JOBSELECT LABS / DEVELOPERS

Build with JobSelect.

Use the JobSelect CLI, hosted API, or MCP-compatible workflows to bring job-description skill analysis into your own tools.

Read the DocsGet API Key

Choose your integration

PYTHON / CLI

JobSelect CLI

Run JobSelect directly from your terminal using the Python package.

pip install jobselect
REST API

Hosted API

Send a job description, role and job type to the hosted JobAnalyze service.

POST /JobAnalyze_6k
AI AGENTS

MCP

Connect JobAnalyze capabilities to MCP-compatible AI-agent workflows.

YOUR_MCP_COMMAND

API quickstart

Static examples only. This page never executes API requests.

cURL
curl -X POST "https://job-description-analysis.onrender.com/JobAnalyze_6k" \
  -H "Content-Type: application/json" \
  -H "JobAnalyze_6k_Key: YOUR_API_KEY_HERE" \
  -d '{
    "Job_Desc": "Python and PyTorch AI Engineer",
    "Role": "AI Engineer",
    "Type": "Junior"
  }'

INPUT SCHEMA

Job_Desc · string · required

Role · string · optional

Type · string · optional

EXAMPLE RESPONSE

{
  "skills": [
    {
      "name": "python",
      "probability": 0.91
    },
    {
      "name": "pytorch",
      "probability": 0.84
    }
  ]
}

Run locally

Use local inference when the required vectorizer, label vocabulary and model weights are available.

from api.pred import JobAnalyze_6k

result = JobAnalyze_6k(
    job_desc, role="AI Engineer", job_type="Junior", top_k=50
)

MCP / AI agents

Use JobAnalyze capabilities within MCP-compatible workflows.

{
  "name":"jobselect",
  "type":"mcp",
  "command":"YOUR_MCP_COMMAND"
}

Placeholder only; no connection is made by this page.

Developer workflow

01 · Install

pip install jobselect

02 · Get access

Obtain an API key through JobSelect.

03 · Analyze

Submit Job Description + Role + Type.

04 · Integrate

Use returned ranked skills in your workflow.

Open source

Explore the implementation, model pipeline, CLI, API service and tests.

GitHub PyPI

Developer FAQ