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Agent Data Tools: Zero-Shot Text Classifier
x402
Agent Data Tools: Zero-Shot Text Classifier is a paid API for AI agents from agent-data-tools.revmesh2074.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Classifies a text snippet into one of several candidate labels using a zero-shot LLM, returning the best label, a ranked list, and a reason.
Price / call$0.01
Success—
StatusUnknown
How this service works
181 pay-per-call tools for AI agents over HTTP or MCP, most at $0.003. Every caller gets 25 free calls; then pay per call in USDC via x402 (Base, Polygon, Arbitrum, Monad, World Chain) or by card with prepaid credits from /credits. No account needed; failed calls are never charged; per-tool reliability is public at /status. Crypto: token prices and wallet portfolios from Uniswap v3, chain reads on Base, Ethereum, Arbitrum, Optimism and Polygon, OFAC sanctions screening. Web: Read public static documentation, pages, PDFs and RSS feeds as clean text, plus link previews and sitemaps. Business: company profiles, domain and email checks. Also Bitcoin, FX, weather, holidays, geocoding, AI text, and JSON, date and validation utilities.
Output
A JSON object containing the winning label string, the name of the model used, a natural-language reason explaining why that label was chosen, and a ranked array of all candidate labels ordered by confidence.
Example use cases
Customer support ticket routing
“I need to route this support message to the right team. Classify it as billing, technical, shipping, or other: 'My package says delivered but I never received it.'”
Content moderation intent tagging
“Tag this user-submitted post as one of: spam, hate_speech, safe, or off_topic — and tell me why: 'Click here to win a free iPhone, limited time only!!!'”
Product feedback sentiment bucketing
“Classify this product review into one of these categories — positive, negative, mixed, neutral — and rank all four: 'The design is gorgeous but the battery life is terrible.'”
Technical details
Endpoint
GEThttps://agent-data-tools.revmesh2074.workers.dev/ai/classify?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need zero-shot text classification with no training data, no API key setup, and pay-per-call billing in USDC via x402. It is ideal for AI agents that need to dynamically categorize text at runtime using ad-hoc label sets. Prefer it over managed NLP services when you want frictionless per-call micropayments, public reliability stats, and a simple GET-based interface with an LLM-backed explanation for each classification decision.
Side effects
- Fewer than 2 or more than 20 labels provided — likely returns an error or unpredictable output
- Text exceeds 8,000 characters — may be truncated or rejected
- Ambiguous or overlapping labels may produce low-confidence or inconsistent rankings
- Payment failure (x402) — call is not charged and no classification is returned
- Malformed query parameters — missing required 'text' or 'labels' returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"label": "billing",
"model": "@cf/meta/llama-3.1-8b-instruct-fp8",
"reason": "The customer reports a duplicate charge.",
"ranking": [
"billing",
"other",
"technical",
"shipping"
]
}
}Tags
x402
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