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TensorFeed OpenRouter Model Fact Card
x402
TensorFeed OpenRouter Model Fact Card is a paid API for AI agents from tensorfeed.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Returns a structured LLM-ready fact card for a single OpenRouter model, including normalized pricing and capability flags.
Price / call$0.02
Success—
StatusUnknown
How this service works
One model from the daily 367-entry OpenRouter catalog as an LLM-ready fact card. Pricing normalized to USD per million tokens with a derived blended_5_to_1 mix. Capability flags (tools, vision, structured_outputs, reasoning) extracted from supported_parameters plus modality. Pass the model id (URL-encoded if it contains a slash) as the URL path segment.
Output
A structured JSON fact card for the requested model containing: normalized USD-per-million-token pricing, a derived blended_5_to_1 pricing mix, and boolean capability flags for tools, vision, structured_outputs, and reasoning, extracted from the live OpenRouter catalog entry.
Example use cases
Check if model supports vision
“Look up the OpenRouter fact card for google/gemini-2.0-flash and tell me whether it supports vision, tool use, and structured outputs — I need to know before building my pipeline around it.”
Compare model pricing before switching
“I'm thinking of switching from openai/gpt-4o to meta-llama/llama-3.1-70b-instruct — can you pull the normalized pricing fact card for the Llama model so I can see the cost per million tokens and the blended 5-to-1 mix estimate?”
Verify reasoning capability of LLM
“Before I route complex multi-step tasks to deepseek/deepseek-r1, can you grab its OpenRouter fact card and confirm whether it has reasoning support enabled, plus what the normalized input and output pricing looks like?”
Technical details
Endpoint
GEThttps://tensorfeed.ai/api/premium/clean/openrouter/anthropic%2Fclaude-haiku-4.5When to prefer
Use this endpoint when you need a single, clean, normalized fact card for one specific OpenRouter model — especially when you need pricing in a consistent USD-per-million-tokens format with blended mix and capability flags. Prefer this over scraping OpenRouter directly or using a bulk catalog call when you only need one model's details.
Side effects
- Model ID not found in OpenRouter catalog — 404 or empty response
- Model ID contains slash and was not URL-encoded — malformed URL or wrong model returned
- Payment of $0.02 USDC not completed — 402 Payment Required
- OpenRouter catalog not refreshed yet for the day — stale or missing data
- Invalid or malformed model ID — error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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