# Provider Quality Predictor

> Provider Quality Predictor is a paid API for AI agents from phion.systems, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-20).

Estimates success probability, quality, latency, and cost for an AI agent service provider, including sample-aware uncertainty quantification

## Facts

- Endpoint: POST https://phion.systems/v1/paid/trust/provider-quality-predictor?utm_source=zero.xyz
- Price: $0.004/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/provider-quality-predictor-c9831736
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kkBQGn-ayJjMvVyOQd5HD

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 provider-quality-predictor-c9831736 -d '<json body>'
```

Example prompt: Before I call this provider, can you predict its success rate, expected quality, latency, and cost — factoring in the sample data I have so far — and tell me how uncertain those estimates are?

## When to prefer this

Use this endpoint when you need to make a data-driven go/no-go decision about calling a provider before committing resources or payments, especially when you have limited sample observations and need uncertainty-aware estimates rather than point predictions. Prefer this over static provider registries or simple uptime checks when quality, cost, and latency all factor into your routing decision.

## Known failure modes

- Insufficient sample data leading to very wide uncertainty intervals
- Unknown or unrecognized provider identifier causing a 404 or empty prediction
- Malformed input payload returning a 400 validation error
- Provider context outside training distribution resulting in low-confidence estimates
- Timeout if upstream inference is slow

## How this service works

Estimate success, quality, latency and cost with sample-aware uncertainty

## Output

Returns predicted success probability, quality score, expected latency, and estimated cost for the specified provider, along with sample-aware uncertainty bounds that reflect how confident the model is given the number of observations provided.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input",
  "output"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "body"
   ],
   "properties": {
    "body": {
     "type": "object",
     "additionalProperties": true
    }
   }
  },
  "output": {
   "type": "object",
   "required": [
    "example"
   ],
   "properties": {
    "example": {
     "type": "object",
     "additionalProperties": true
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/provider-quality-predictor-c9831736/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from phion.systems](https://www.zero.xyz/host/phion.systems/llms.txt)