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Inference402 Text Classifier
x402
Inference402 Text Classifier is a paid API for AI agents from inference402.worlddata402.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-19).
Classifies input text into one of the provided candidate labels using Llama 3.3 70B, returning the best-matching label and a confidence score, paid per-call in USDC on Base.
Price / call$0.003
Success—
StatusUnknown
How this service works
Pay-per-call AI inference for agents: chat (Llama 3.3 70B / 3.1 8B), structured JSON, summarize, translate (incl. Egyptian Arabic), extract, classify, sentiment, keywords, rewrite, embeddings, moderation, vision and speech-to-text. USDC on Base mainnet over x402. No API key, no account.
Output
Returns a JSON object with the best-matching label from the provided candidate list, a confidence score between 0 and 1 indicating certainty, and the model identifier used (e.g. @cf/meta/llama-3.3-70b-instruct-fp8-fast). No authentication required; payment is made per-call in USDC on Base via x402.
Example use cases
Customer support ticket routing
“Classify this incoming support message into one of these departments — billing, technical, returns, or general — so I can route it automatically: 'I never received my order and tracking shows it was delivered three days ago.'”
Content moderation triage
“Categorize this user-submitted post as either safe, borderline, or violating based on our community guidelines: 'Check out this guaranteed method to make $5000 a week from home with no skills required.'”
Survey response tagging
“Tag this open-ended survey response as one of: product_quality, shipping, customer_service, pricing, or other — and tell me the confidence score: 'The team was super helpful but I felt the price was a bit steep for what I got.'”
Technical details
Endpoint
GEThttps://inference402.worlddata402.workers.dev/v1/classify?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need zero-setup, pay-per-call text classification without managing API keys or accounts. Ideal for agent pipelines that need to route or triage text into known categories on-demand. Best when you have 2–20 well-defined labels and short-to-medium text inputs. Prefer over full LLM chat endpoints when you only need a label and confidence score rather than free-form text output.
Side effects
- Fewer than 2 labels provided — minimum of 2 labels required
- Text exceeds 8000 characters — request will be rejected
- More than 20 labels provided — exceeds maxItems limit
- Payment not provided or insufficient USDC — 402 Payment Required returned
- Model unavailable or Cloudflare Workers AI outage — 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| labels | array |
Output
Schema · Response
{
"type": "json",
"example": {
"label": "billing",
"model": "@cf/meta/llama-3.3-70b-instruct-fp8-fast",
"confidence": 0.94
}
}Tags
x402
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