Text Classification API (api.strale.io) is a paid API for AI agents from api.strale.io, paid per call via x402, $0.054001/call, status unknown (last checked 2026-09-13).
Classifies input text into categories, returning the primary category, confidence scores, topic keywords, and a summary
Classify text into categories. Optionally provide custom categories. Returns primary category, confidence scores, topic keywords, and summary.
Returns the primary category label, confidence scores for each candidate category, extracted topic keywords from the text, and a brief summary of the content
GEThttps://api.strale.io/x402/classify-textChoose this endpoint when you need fast, single-call text classification with confidence scores and topic keywords, especially when you want to supply custom category lists rather than relying on a fixed taxonomy. Ideal for routing support tickets, labeling content, or categorizing user feedback at low per-call cost.
{
"text": "The product quality is excellent and arrived quickly, but the customer service team was unhelpful when I had questions about the warranty."
}| Field | Type | Description |
|---|---|---|
| inputrequired | object |
{
"_meta": {
"payment": {
"method": "x402",
"price_usd": 0.054000000000000006,
"settlement_id": "0x062fd0efcced3fc3daba0cfccce8e250d3117b5b0a921225d0349db53770d10b"
},
"capability": "classify-text",
"latency_ms": 1752,
"provenance": {
"source": "claude-haiku",
"fetched_at": "2026-06-13T04:24:09.549Z"
}
},
"summary": "A mixed review praising product quality and fast delivery while criticizing unhelpful customer service regarding warranty inquiries.",
"confidence": 0.95,
"all_categories": [
{
"category": "Customer Review",
"confidence": 0.95
},
{
"category": "Customer Service Feedback",
"confidence": 0.75
},
{
"category": "Product Feedback",
"confidence": 0.7
},
{
"category": "Complaint",
"confidence": 0.55
}
],
"topic_keywords": [
"product quality",
"delivery speed",
"customer service",
"warranty",
"customer satisfaction"
],
"primary_category": "Customer Review",
"detected_language": "English"
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