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Flat-rate LLM Inference
x402
Flat-rate LLM Inference is a paid API for AI agents from flat-rate-llm.kikoribera03.workers.dev, paid per call via x402, $1/call, status unknown (last checked 2026-09-15).
Runs LLM inference on a prompt at a fixed $0.001 per call regardless of token count, with automatic failover across multiple large models.
Price / call$1
Success—
StatusUnknown
How this service works
60 paid endpoints with no metering, no API key and no account. Each endpoint has one flat price per call, whatever the size of the request: LLM completions with automatic failover across several large models, read-only EVM tooling over Base, Ethereum, Polygon, Arbitrum and Optimism, and pure crypto utilities that touch no network.
Output
A text string containing the model's completion of the given prompt, generated by one of the backend large language models selected via automatic failover. No token usage metadata is returned; pricing is flat per call.
Example use cases
Cost-predictable agent reasoning step
“Run this through the flat-rate LLM — system prompt: 'You are a JSON extractor. Output only valid JSON.' User prompt: 'Extract the name, date, and total amount from this invoice text: Invoice #1042, Acme Corp, 2024-06-15, $3,200.00.' Cap it at 200 tokens.”
Bulk content drafting at fixed cost
“Use the flat-rate LLM to write a short product description for each of my 50 SKUs — I need predictable costs per call, not token-metered billing. System instruction: 'Write a 2-sentence e-commerce product description.' Prompt: 'Product: Bamboo cutting board, 18x12 inches, dishwasher safe.'”
Automated customer support reply drafting
“Draft a polite support reply using the flat-rate LLM. System: 'You are a friendly customer support agent for a SaaS company.' Prompt: 'Customer says: I cannot log into my account after resetting my password.' Limit the output to 300 tokens.”
Technical details
Endpoint
POSThttps://flat-rate-llm.kikoribera03.workers.dev/v2/inferenciaWhen to prefer
Choose this endpoint when you need predictable, fixed-cost LLM inference regardless of prompt or output length — ideal for agentic pipelines making many calls, batch workflows where token-metered APIs create variable cost, or cost-sensitive automation. Prefer it over token-metered gateways when throughput is high or prompt lengths vary widely. Not ideal if you need specific model selection, streaming output, or detailed token usage telemetry.
Side effects
- Prompt exceeds 24000 character limit — request rejected
- maxTokens set above 4000 — capped or rejected
- Model failover exhausted — service temporarily unavailable with 5xx error
- Payment not included or invalid x402 payment — 402 Payment Required
- Malformed JSON body — 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string | The request for the model. Up to 24000 characters. |
| sistema | string | Optional system instruction. |
| maxTokens | number | Output token cap, up to 4000. Does not change the price. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| modelo | string | |
| segundos | number | |
| respuesta | string |
Tags
x402
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