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Strale Skill Extractor
x402
Strale Skill Extractor is a paid API for AI agents from api.strale.io, paid per call via x402, $0.0324/call, status unknown (last checked 2026-09-14).
Extracts and categorizes 500+ skills from job descriptions or CVs into technical skills, soft skills, tools, certifications, and languages
Price / call$0.0324
Success—
StatusUnknown
How this service works
Extract skills from job descriptions or CVs. Categorizes 500+ skills into technical, soft skills, tools, certifications, languages.
Output
A structured breakdown of skills found in the input text, categorized into groups such as technical skills, soft skills, tools, certifications, and languages, covering 500+ recognized skill types
Example use cases
Example prompt
“Can you extract and categorize all the skills from this job description for a Senior Backend Engineer role? Here's the text: 'We're looking for someone with 5+ years of Python, strong knowledge of AWS and Docker, excellent communication skills, and a PMP certification.'”
Technical details
Endpoint
GEThttps://api.strale.io/x402/skill-extractWhen to prefer
Use this endpoint when you need to extract and categorize skills from unstructured job description or CV text into a normalized taxonomy covering technical skills, soft skills, tools, certifications, and languages — particularly when building applicant tracking systems, candidate matching tools, or HR automation workflows.
Side effects
- Empty or missing 'text' query parameter returns validation error
- Extremely short or non-descriptive input may yield few or no extracted skills
- Non-English text may produce incomplete extraction results
- Very long text inputs may be truncated or time out
- Rate limiting if too many requests are made in quick succession
Input
{
"text": "Senior Backend Engineer position requiring 5+ years of Python experience, proficiency with AWS and Docker, strong communication skills, and PMP certification. Must have knowledge of microservices architecture, RESTful APIs, and database optimization. Experience with Kubernetes and CI/CD pipelines preferred."
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
{
"_meta": {
"payment": {
"method": "x402",
"price_usd": 0.0324,
"settlement_id": "0x10234fe979a87b1ba6bc7c52ba79cfe5ef4c3e662c7c88a121e96277800fdae4"
},
"capability": "skill-extract",
"latency_ms": 5,
"provenance": {
"source": "algorithmic",
"fetched_at": "2026-06-16T01:24:48.501Z"
}
},
"tools": [],
"languages": [],
"soft_skills": [
"Communication"
],
"certifications": [
"PMP"
],
"technical_skills": [
"Python",
"AWS",
"Docker",
"Kubernetes",
"CI/CD",
"Microservices"
],
"seniority_signals": [
"senior"
],
"total_skills_found": 8,
"experience_levels_mentioned": [
"5+ years"
]
}Tags
x402
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