TensorFeed Inference Provider Arbitrage Analytics 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 cross-provider arbitrage analytics for hosted LLM inference, including cheapest/most expensive pricing, spread, savings percentage, TPS leaders, and top arbitrage opportunities per model.
Cross-provider arbitrage analytics for hosted inference. Per-model: cheapest_paid, most_expensive_paid, spread_usd, savings_pct, median_paid_blended, fastest_tps, cheapest_with_tps, free_tier_offers. Plus provider_rollup (cheapest_count, top_tps_count, value_score 0-100) and top_arbitrage models sorted by savings_pct desc. Pairs with the free /api/inference-providers matrix. The "where to migrate workloads" call.
A structured dataset with per-model arbitrage metrics (cheapest_paid, most_expensive_paid, spread_usd, savings_pct, median_paid_blended, fastest_tps, cheapest_with_tps, free_tier_offers), provider_rollup stats (cheapest_count, top_tps_count, value_score 0-100), and a ranked list of top arbitrage models sorted by savings_pct descending.
GEThttps://tensorfeed.ai/api/premium/inference-providers/arbitrageChoose this endpoint when you need a comprehensive, multi-dimensional cost-vs-performance comparison across all major inference providers in a single call. Ideal for workload migration decisions, budget optimization, or building dashboards that surface LLM pricing arbitrage. Pairs with the free /api/inference-providers matrix endpoint for the raw data layer.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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