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NetIntel Text Classifier
x402
NetIntel Text Classifier is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Classifies text into one or more user-supplied labels with confidence scores and a letter grade
Price / call$0.005
Success—
StatusUnknown
How this service works
Classify text into caller-supplied categories using Claude Haiku — zero-shot classification where the agent provides the label set and gets back the best-matching category with confidence and per-label scores, so agents can route, tag, and triage content with their own taxonomy in one call.
Output
Returns a JSON object with the winning label, a letter grade (e.g. A), a 0-100 score, per-label probability scores, overall confidence (0-1), a findings array, and the list of labels that were evaluated.
Example use cases
Real-time support ticket routing
“Route this incoming support email into billing, account, or technical categories with confidence scores so we can send it to the right team immediately: 'My API calls have been failing all morning and I haven't received a response from your support.'”
Customer feedback classification
“Classify each piece of customer feedback into praise, constructive criticism, or complaint and give me a grade on how satisfied the customer sounds: 'Your product works great but the onboarding process was confusing and took way too long.'”
Message content moderation
“Scan this user-generated message and tell me if it's promotional, spam, legitimate feedback, or off-topic with a confidence score: 'Click here to buy cheap followers and boost your engagement today!'”
Technical details
Endpoint
POSThttps://netintel-production-440c.up.railway.app/classifyWhen to prefer
Use this endpoint when you need fast, pay-per-call text classification against a custom label set with confidence scoring and a quality grade — especially when you want zero-shot flexibility without training a model, or when routing support tickets, emails, or messages into predefined buckets in real time.
Side effects
- Missing or empty text body returns 400 or validation error
- Invalid or empty labels array causes malformed classification
- Payment not attached or insufficient USDC balance returns HTTP 402
- Ambiguous text with near-equal scores may yield low confidence and low grade
- Unsupported mode value causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "single_label",
"grade": "A",
"label": "billing",
"score": 100,
"scores": {
"billing": 0.91,
"general": 0.03,
"technical": 0.06
},
"findings": [],
"confidence": 0.91,
"labels_provided": [
"billing",
"technical",
"general"
]
}
}Tags
x402
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