# Skill Gap Analyzer

> Skill Gap Analyzer is a paid API for AI agents from api.strale.io, paid per call via x402, $0.162/call, status unknown (last checked 2026-10-12).

Compares required skills against candidate skills using fuzzy matching and returns matched, missing, extra skills, and an overall match score.

## Facts

- Endpoint: GET https://api.strale.io/x402/skill-gap-analyze?utm_source=zero.xyz
- Price: $0.162/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/api-strale-io-2a89f737
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CPGc1jbmOfiGazoxLeoXX

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability api-strale-io-2a89f737
```

Example prompt: Can you do a skill gap analysis comparing these required skills — Python, SQL, machine learning, data visualization, statistics — against this candidate's skills — Python, pandas, SQL, Tableau, Excel — and tell me what's matched, what's missing, and what score they get?

## When to prefer this

Use this endpoint when you need automated, fuzzy skill matching between a job's requirements and a candidate's skill set — especially useful in agentic hiring workflows, ATS integrations, or resume screening pipelines where partial/synonym matches (e.g. 'JS' vs 'JavaScript') should still count.

## Known failure modes

- Missing required_skills or candidate_skills arrays returns a 400/422 validation error
- Empty arrays for either parameter may return a zero match score or error
- Malformed array inputs may cause schema validation failure
- Network timeouts or service unavailability return 5xx errors

## How this service works

Compare required skills against candidate skills with fuzzy matching. Returns matched, missing, extra, and match score.

## Output

Returns a structured breakdown of matched skills (with fuzzy matches), missing skills the candidate lacks, extra skills the candidate has beyond requirements, and a numeric match score indicating overall fit percentage.

## Example request

```json
{
 "required_skills": [
  "Python",
  "SQL",
  "Machine Learning",
  "Data Visualization",
  "Statistics"
 ],
 "candidate_skills": [
  "Python",
  "pandas",
  "SQL",
  "Tableau",
  "Excel"
 ]
}
```

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "required_skills",
      "candidate_skills"
     ],
     "properties": {
      "required_skills": {
       "type": "array"
      },
      "candidate_skills": {
       "type": "array"
      }
     }
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/api-strale-io-2a89f737/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.strale.io](https://www.zero.xyz/host/api.strale.io/llms.txt)