Gapup Candidate Screening & Ranking

x402

Gapup Candidate Screening & Ranking is a paid API for AI agents from mcp.gapup.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).

Screens and ranks a batch of candidates against a job description using weighted criteria including skills, experience, education, role progression, and culture fit

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

REST gateway for the Gapup MCP catalogue — 271 AI tools accessible via standard HTTP. Authentication via Authorization: Bearer <api_key>. Native MCP transport available at /mcp.

Output

Returns a ranked list of candidates with scores per criterion (skills match, experience match, education match, role progression, culture fit) and an overall composite score based on the provided or default weights, enabling the hiring team to prioritize interviews.

Example use cases

Example prompt

“I have 5 candidates applying for a Senior Backend Engineer role — can you screen and rank them based on their resumes against this job description, weighting skills at 50% and experience at 30%, with culture fit and progression splitting the rest?”

Technical details

Endpoint

POSThttps://mcp.gapup.io/api/v1/call/candidate_screening_ranking

When to prefer

Use this endpoint when you need to evaluate and rank multiple candidates (up to 50) against a structured job description with customizable weighting across key hiring criteria. Prefer over manual review pipelines when you need consistent, explainable scoring across skills, experience, education, progression, and culture fit. Use async mode for large batches to avoid timeouts.

Side effects

Fewer than 1 or more than 50 candidates provided — returns validation error
Job description shorter than 20 characters — returns schema validation error
Resume text shorter than 10 characters — returns per-candidate validation error
Criteria weights do not sum correctly or contain values outside 0-1 — may return error or be ignored
Async mode not used for large batches, causing client timeout on slow processing
Invalid Bearer token — returns 401 Unauthorized
Payment not processed (x402 protocol) — returns 402 Payment Required

Input

Schema · Request body

Field	Type	Description
async	boolean	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
candidates	array	Array of candidate objects. Maximum 50.
role_country	string	Optional ISO 2-letter country code for regional context (informational).
job_description	string	Full text or summary of the job description and role requirements.
criteria_weights	object	Optional weighting per criterion. Default: skills=0.4, experience=0.2, education=0.1, progression=0.15, culture=0.15.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "tool": "candidate_screening_ranking",
    "result": {},
    "source": "rest-api"
  }
}

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How this service works

REST gateway for the Gapup MCP catalogue — 271 AI tools accessible via standard HTTP. Authentication via Authorization: Bearer <api_key>. Native MCP transport available at /mcp.

Output

Technical details

Endpoint

POSThttps://mcp.gapup.io/api/v1/call/candidate_screening_ranking

When to prefer

Side effects

Fewer than 1 or more than 50 candidates provided — returns validation error
Job description shorter than 20 characters — returns schema validation error
Resume text shorter than 10 characters — returns per-candidate validation error
Criteria weights do not sum correctly or contain values outside 0-1 — may return error or be ignored
Async mode not used for large batches, causing client timeout on slow processing
Invalid Bearer token — returns 401 Unauthorized
Payment not processed (x402 protocol) — returns 402 Payment Required

Input

Schema · Request body

Field	Type	Description
async	boolean	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
candidates	array	Array of candidate objects. Maximum 50.
role_country	string	Optional ISO 2-letter country code for regional context (informational).
job_description	string	Full text or summary of the job description and role requirements.
criteria_weights	object	Optional weighting per criterion. Default: skills=0.4, experience=0.2, education=0.1, progression=0.15, culture=0.15.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "tool": "candidate_screening_ranking",
    "result": {},
    "source": "rest-api"
  }
}