# x402-factory San Francisco Hourly Weather Forecast

> x402-factory San Francisco Hourly Weather Forecast is a paid API for AI agents from x402-factory.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).

Returns an hourly weather forecast for San Francisco (temperature, precipitation probability, wind) up to 168 hours out, using NWS-derived data bias-blended with a calibrated station model.

## Facts

- Endpoint: GET https://x402-factory.com/v1/forecast/san-francisco
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-factory-san-francisco-hourly-weather-forecast-b887b7f5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_c9RujtBn21hl0MBS7SF7X

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 x402-factory-san-francisco-hourly-weather-forecast-b887b7f5
```

Example prompt: What's the hourly weather forecast for San Francisco for the next 72 hours in imperial units — I need temperature, rain chance, and wind?

## When to prefer this

Choose this endpoint when you specifically need an hourly San Francisco weather forecast without having to supply coordinates, and when you value knowing which model (NWS blend vs. station-only) produced each data point. It's preferable to a generic point-forecast endpoint when San Francisco is the fixed target and you want built-in bias correction with method transparency.

## Known failure modes

- hours parameter out of range (must be 1–240) returns validation error
- units value not in [metric, imperial] returns validation error
- NWS upstream data unavailable may result in fallback to station-only model or error
- Payment not provided or insufficient (x402 payment required at $0.01 USDC per call)
- Forecast beyond 168 hours may return partial or no data despite hours<=240 being accepted

## How this service works

Hourly San Francisco weather forecast (blend model, method labeled) — Hourly weather forecast for San Francisco: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Francisco coordinates built in.

## Output

A time-series array of hourly forecast entries for San Francisco, each containing temperature, precipitation probability, and wind data, covering up to the requested number of hours (max 240, but forecast data available up to 168 hours). Every entry is labeled with the method that produced it (NWS-derived or bias-blended station model), and units are as requested (metric or imperial).

## 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"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [],
     "properties": {
      "hours": {
       "type": "integer",
       "default": 48,
       "maximum": 240,
       "minimum": 1
      },
      "units": {
       "enum": [
        "metric",
        "imperial"
       ],
       "type": "string",
       "default": "imperial"
      }
     }
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-factory-san-francisco-hourly-weather-forecast-b887b7f5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-factory.com](https://www.zero.xyz/host/x402-factory.com/llms.txt)