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TensorFeed Stack Safety Verdict
x402
TensorFeed Stack Safety Verdict 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 safety/risk verdict for a given AI model or stack candidate, ranked and filtered based on prompt task description and optimization objective
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 safety verdict and ranked list of AI model candidates evaluated against the provided task description, scored and filtered by the chosen optimization objective (cost, speed, quality, or balanced), along with risk signals and recommendations.
Example use cases
Audit current models for compliance risk
“Run a safety assessment on our AI stack for processing financial customer data. We need models rated as low-risk for handling PII and regulatory compliance — can you check what TensorFeed says about the models we're currently using?”
Select safest model for medical application
“We're building an AI health assistant that gives preliminary medical guidance. I need you to find the safest models available that won't put us at legal risk, optimized for quality over speed. What does TensorFeed recommend?”
Find cost-effective safe models quickly
“Our startup is scaling customer interactions and we need to swap to a cheaper AI model without compromising safety. Check TensorFeed for models that are low-risk but won't break the bank, and rank them by cost-safety balance.”
Technical details
Endpoint
GEThttps://tensorfeed.ai/api/premium/stack-safety-verdictWhen to prefer
Use this endpoint when you need a safety-focused verdict on which AI models or stacks are appropriate for a specific task, especially before deploying models in production or sensitive contexts. Prefer this over generic model comparison endpoints when safety risk scoring is the primary concern rather than raw benchmark performance.
Side effects
- Missing or empty prompt returns validation error
- Invalid optimize enum value returns 400 bad request
- Payment failure or missing x402 header returns 402 Payment Required
- Upstream model data unavailable returns partial or degraded results
- Rate limit exceeded returns 429 Too Many Requests
Tags
x402
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