Classify text into your own categories — zero-shot
Classify text into your own categories — zero-shot: supply 2–20 labels and Claude Haiku returns the best-matching category with confidence and per-label scores. Route, tag, triage, and detect intent or topic with your own taxonomy in one call.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
945 msmedian answer time
$0.005listed price per call
$0.005price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://netintel.dev/classify
| Category | Everything else |
|---|---|
| Provider host | netintel.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 3 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.005 | 945 ms |
Example input (from the provider)
{
"body": {
"labels": [
"billing",
"technical",
"general"
],
"text": "Hi, I was charged twice for my subscription this month and need a refund."
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"labels": {
"description": "2-20 candidate category labels to classify the text into. The chosen label(s) are always drawn from this set.",
"items": {
"type": "string"
},
"type": "array"
},
"multi_label": {
"description": "If true, allow multiple matching labels and return a labels array. Defaults to false (single best label).",
"type": "boolean"
},
"text": {
"description": "The text to classify \u2014 a support ticket, email, message, document snippet, etc. Max 10000 words or 50KB.",
"type": "string"
}
},
"required": [
"text",
"labels"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"confidence": {
"description": "Confidence for the chosen label (single-label mode)",
"type": "number"
},
"findings": {
"description": "Informational findings (e.g. low_confidence)",
"items": {
"type": "string"
},
"type": "array"
},
"grade": {
"description": "Letter grade A-F",
"type": "string"
},
"label": {
"description": "Best matching label (single-label mode)",
"type": "string"
},
"labels": {
"description": "Matching labels (multi-label mode)",
"items": {
"type": "string"
},
"type": "array"
},
"labels_provided": {
"description": "Echo of the candidate labels supplied by the caller",
"items": {
"type": "string"
},
"type": "array"
},
"mode": {
"description": "single_label or multi_label",
"type": "string"
},
"score": {
"description": "Quality score 0-100",
"type": "number"
},
"scores": {
"description": "Per-label relevance scores (0-1) for every provided label",
"type": "object"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}