NetIntel
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.
Offering
- Provider
- netintel.dev
- Method
- POST
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- General Utilities
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://netintel.dev/classify- MIME type
- Not provided
- First seen
- 2026-10-16T01:50:14.534Z
- Last seen
- Tags
- text classification, zero-shot, categorization, intent detection, LLM
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.005 USDC
Atomic price: 5000 · Network: eip155:8453 · Asset: USDC · Scheme: exact - Payment option 2
- 0.005 USDC
Atomic price: 5000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
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"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "5000",
"payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
},
{
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"amount": "5000",
"payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
}
]Observed health
- Status
- Healthy
- Latest latency
- 100 ms
- Average latency
- 250 ms
- HTTP status
- 204
- Last checked
- Reachability
- 100% over 13 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"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 — 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 schema
{
"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"
}