# SwapHunt Hourly Volatility Pattern

> SwapHunt Hourly Volatility Pattern is a paid API for AI agents from x402.swaphunt.dev, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-14).

Returns historical volatility statistics broken down by hour of day (UTC) and trading session, showing which hours move most for intraday timing decisions.

## Facts

- Endpoint: GET https://x402.swaphunt.dev/v1/cycle/hourly-pattern
- Price: $0.004/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/swaphunt-hourly-volatility-pattern-adf2ed2d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NvnZjgwluHtpjltWiuPau

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 swaphunt-hourly-volatility-pattern-adf2ed2d
```

Example prompt: Show me which hours of the day BTC/USDT has historically been most volatile over the last 30 days — I want to know when to time my entries and which UTC hours are dead zones.

## When to prefer this

Use this endpoint when you need intraday timing intelligence — specifically which UTC hours or sessions have historically produced the most price movement for an asset. Prefer this over daily or weekly seasonality endpoints when the user's goal is sub-day entry timing or avoiding low-volatility dead zones during the trading day.

## Known failure modes

- Invalid asset symbol returns error or empty data
- Days parameter outside 7-41 range may return validation error
- Unsupported quote currency returns error
- Insufficient historical data for very new assets

## How this service works

Historical volatility by hour of day (UTC) plus a session comparison — which hours move most. Use to time entries to active hours and avoid dead zones. Intraday seasonality.

## Output

Returns per-hour-of-day (0-23 UTC) volatility statistics, a ranking of most-to-least active hours, and a breakdown by trading session (Asia, London, NY) so the agent can identify optimal entry windows and avoid low-liquidity periods.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "days": {
       "type": "integer",
       "default": 30,
       "description": "Days of history (7-41)"
      },
      "asset": {
       "type": "string",
       "default": "BTC",
       "description": "Asset symbol"
      },
      "quote": {
       "type": "string",
       "default": "USDT",
       "description": "Quote currency (USDT, USDC, EUR)"
      }
     }
    }
   },
   "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/swaphunt-hourly-volatility-pattern-adf2ed2d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.swaphunt.dev](https://www.zero.xyz/host/x402.swaphunt.dev/llms.txt)