# Vaunt Trade Evidence API

> Vaunt Trade Evidence API is a paid API for AI agents from vaunt-dispatch-production.up.railway.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).

Returns empirical evidence for or against a proposed crypto or tokenized-equity trade on Hyperliquid, including historical trade performance, news context, execution costs, and liquidity data

## Facts

- Endpoint: GET https://vaunt-dispatch-production.up.railway.app/agent/x402/evidence
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vaunt-trade-evidence-api-7f006b69
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XJKMh24ckynKI9WeDOYkB

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 vaunt-trade-evidence-api-7f006b69
```

Example prompt: Pull the Vaunt trade evidence for going LONG on SOL with a 4-hour horizon — I want to see the historical closed trades, execution costs, and liquidity snapshot before I decide anything.

## When to prefer this

Choose this endpoint when you need empirical, real-money historical evidence for a specific directional trade on Hyperliquid before committing capital — especially when you need execution cost data (slippage, fee, latency from actual fills), liquidity snapshots, and monthly news context bundled together. Prefer this over generic market data APIs when you want Hyperliquid-native trade evidence with MFE/MAE and exit-type breakdowns rather than price feeds or order book snapshots alone. Ideal for agents doing pre-trade due diligence on crypto or tokenized equities without wanting entry/stop/target signals.

## Known failure modes

- Invalid or unsupported ticker symbol — asset not listed on Hyperliquid returns an error
- Invalid direction value (not LONG or SHORT) causes request rejection
- Unsupported horizon_h value (not 4 or 24) causes schema validation failure
- Insufficient trade history for a newly listed asset may return sparse or empty evidence
- Payment failure or insufficient USDC balance ($1 per call) blocks the request
- Network or engine downtime on Hyperliquid may cause delayed or unavailable data

## How this service works

Vaunt verified trade evidence: the $0.05 evaluation plus the asset's last 5 closed real-money trades (outcome, banded return, hold bucket, trigger band, MFE/MAE, 7-day delay), the news book month by month, execution cost measured on our fills (slippage, fee, latency) and a liquidity snapshot. Empirical evidence for or against a crypto or tokenized-equity trade from a live Hyperliquid engine. No entry/stop/target.

## Output

A structured evidence report containing: historical closed real-money trades for the asset/direction pair (return, hold time, exit kind, trigger context, MFE/MAE, with 48-hour delay), a month-by-month news book, empirical execution cost metrics from actual fills (slippage, fee, latency), and a current liquidity snapshot. Does not include entry, stop, or target recommendations.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "asset": {
   "type": "string",
   "description": "Ticker as listed on Hyperliquid, e.g. SOL, HYPE, BTC, or xyz:NVDA for tokenized equities"
  },
  "direction": {
   "enum": [
    "LONG",
    "SHORT"
   ],
   "type": "string"
  },
  "horizon_h": {
   "enum": [
    4,
    24
   ],
   "type": "integer",
   "default": 4,
   "description": "Evaluation horizon in hours"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vaunt-trade-evidence-api-7f006b69/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from vaunt-dispatch-production.up.railway.app](https://www.zero.xyz/host/vaunt-dispatch-production.up.railway.app/llms.txt)
