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TensorFeed AI Model Routing
x402
TensorFeed AI Model Routing is a paid API for AI agents from tensorfeed.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Returns a ranked list of top-N AI models for a given task, combining live pricing, benchmarks, provider status, and latency into a single composite score.
Price / call$0.02
Success—
StatusUnknown
How this service works
Top-N AI model recommendation for a task. Joins live pricing, benchmarks, provider status, and latency into a single composite score so an agent gets a ranked answer in one call instead of stitching three free endpoints together.
Output
A ranked list of top-N AI models for the specified task, each entry containing a composite score derived from live pricing, benchmark performance, provider availability, and latency metrics — giving the agent a single, ready-to-use recommendation without needing to aggregate multiple data sources.
Example use cases
Example prompt
“Which are the top 5 AI models I should use right now for long-form document summarization, factoring in current pricing, latency, and benchmark scores?”
Technical details
Endpoint
GEThttps://tensorfeed.ai/api/premium/routingWhen to prefer
Use this endpoint when an agent needs to dynamically route or select the best AI model for a task without manually querying pricing APIs, benchmark leaderboards, and provider status pages separately. Ideal for agents that need a single authoritative ranked answer in one call, especially when cost, latency, and live availability all matter simultaneously.
Side effects
- Invalid or unrecognized task description returns empty or low-confidence rankings
- Provider status data temporarily stale causing outdated availability signals
- N value out of supported range returns error
- Pricing data feed lag causing slightly out-of-date cost figures
- Payment failure (402) if USDC balance insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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