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TensorFeed Failover Verdict API
x402
TensorFeed Failover Verdict API is a paid API for AI agents from tensorfeed.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Given a task description and optimization objective, returns a ranked recommendation of which AI model/API to use, factoring in live service status and model benchmarks
Price / call$0.02
Success—
StatusUnknown
How this service works
TensorFeed is the real-time dashboard for the AI industry. Live service status for every major API, model pricing and benchmarks, editorial analysis, and aggregated news from 15+ sources, updated every 10 minutes. Built for humans and AI agents.
Output
A failover verdict ranking candidate AI models for the given task, scored against the chosen optimization objective (cost, speed, quality, or balanced), incorporating live provider status and current benchmark data.
Example use cases
Pick fastest model for real-time chatbot
“Our customer support chatbot is getting slow. Check TensorFeed for the fastest AI model right now that can handle conversational responses, and tell me which API provider I should switch to.”
Find cheapest LLM for batch processing
“We're processing thousands of customer emails tonight and need to keep costs down. Use TensorFeed to find the most cost-effective language model available right now for text classification.”
Failover to available API provider
“Our primary AI provider is having issues. Search TensorFeed to find which alternative model API is currently up and performing well for image analysis, so we can automatically reroute our requests.”
Technical details
Endpoint
GEThttps://tensorfeed.ai/api/premium/failover-verdictWhen to prefer
Use this endpoint when an AI agent needs to dynamically select or failover between AI model providers based on real-time availability, current pricing, and benchmark performance for a specific task type — especially when the optimization objective (cost vs. speed vs. quality) matters for routing decisions.
Side effects
- Missing or empty prompt returns a 400 bad request
- Invalid optimize enum value returns validation error
- Service temporarily unavailable if TensorFeed data pipeline is behind schedule
- Payment failure (402) if USDC balance insufficient
- Empty result set if no models match the task profile
Tags
x402
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