# TensorFeed Inference Provider Arbitrage Analytics

> 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.

## Facts

- Endpoint: GET https://tensorfeed.ai/api/premium/inference-providers/arbitrage
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tensorfeed-ai-772dc03f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Zen_ChkP3tgLuW583sukB

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tensorfeed-ai-772dc03f
```

Example prompt: Show me the current inference provider arbitrage breakdown — which models have the biggest price spread, who's cheapest and fastest, and what's the top savings opportunity if I migrate my workloads right now?

## When to prefer this

Choose 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.

## Known failure modes

- Payment not provided or invalid x402 payment — returns 402 Payment Required
- Upstream provider pricing data temporarily unavailable — returns 503 or stale data warning
- Rate limit exceeded — returns 429 Too Many Requests
- Network timeout if provider catalog is being refreshed

## How this service works

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.

## Output

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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "family": {
       "type": "string",
       "description": "Case-insensitive substring filter on model family (Meta, DeepSeek, Mistral, Alibaba, Microsoft, ...)."
      },
      "min_savings_pct": {
       "type": "number",
       "maximum": 100,
       "minimum": 0,
       "description": "Minimum savings_pct to include a model in the top_arbitrage array. Default 20."
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tensorfeed-ai-772dc03f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from tensorfeed.ai](https://www.zero.xyz/host/tensorfeed.ai/llms.txt)