# Onvexia Asset Prediction Accuracy

> Onvexia Asset Prediction Accuracy is a paid API for AI agents from onvexia.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-19).

Returns historical accuracy metrics for Onvexia's price or sentiment predictions for a given blockchain asset symbol

## Facts

- Endpoint: GET https://onvexia.com/v1/predictions/assets/%7Bsymbol%7D/accuracy
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/onvexia-asset-prediction-accuracy-bbd968ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9Y4eC2kwG2DFH-ILyKNhj

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 onvexia-asset-prediction-accuracy-bbd968ac
```

Example prompt: What's Onvexia's historical prediction accuracy for ETH — I want to know how reliable their forecasts have been before I act on them.

## When to prefer this

Choose this endpoint when you need to audit or validate the reliability of Onvexia's prediction outputs for a specific crypto asset before acting on them, or when building a trust score for an analytics provider. Prefer it over general market data endpoints when the goal is specifically model performance evaluation rather than raw price data.

## Known failure modes

- Unknown or unsupported asset symbol returns empty data array
- Symbol not covered across Onvexia's ten chains may return 404 or empty result
- Malformed symbol input may return a schema validation error
- Payment failure (x402 protocol) prevents access to response
- Rate limiting or insufficient USDC balance blocks the call

## How this service works

Thousands of assets across ten chains, half a million analysed documents, labelled addresses and supply-age history reaching back to 2008 — fused into one reading per asset. REST, SQL, GraphQL and MCP.

## Output

Returns a JSON object with accuracy metrics for the specified asset symbol's predictions, including a data array (likely containing historical accuracy rates, time periods, or model performance scores) and meta information pointing to the full OpenAPI documentation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": [],
  "meta": {
   "docs": "https://onvexia.com/openapi.json",
   "endpoint": "/v1/predictions/assets/{symbol}/accuracy"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/onvexia-asset-prediction-accuracy-bbd968ac/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from onvexia.com](https://www.zero.xyz/host/onvexia.com/llms.txt)