gg402 · AI outfit recommendation

Served byx402 API Marketplace | Pay-per-call APIs with Crypto Indexed external

Generate outfit recommendations combining weather data, occasion context, available wardrobe items, and personal style preferences.

What it does

Generate outfit recommendations combining weather data, occasion context, available wardrobe items, and personal style preferences.

  • Get daily outfit suggestions based on local weather
  • Plan occasion-appropriate attire from existing wardrobe
  • Discover new combinations from owned items
  • Receive alternative accessory and footwear options

Ideal buyer

Fashion apps and personal styling assistants seeking AI-powered outfit generation with weather and occasion awareness.

Use with AXON

Run this through your governed agent wallet.

  1. 01
    Bootstrap AXON once with npx @axon402/init.
  2. 02
    Use the AXON runtime MCP tools to search_x402_services or inspect_x402_offer for this service.
  3. 03
    Quote, test-buy, then run the governed paid fetch through AXON.

Send this

Prompt for your agent

A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.

Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.

“Recommend an outfit for a rainy business casual day using items from my wardrobe: navy blazer, chinos, white shirt, brown loafers.”

Endpoint request body

The JSON payload your agent sends to the endpoint.

application/json
{
  "weather": {
    "temp_c": 12,
    "condition": "rainy"
  },
  "occasion": "business_casual",
  "wardrobe": [
    "navy blazer",
    "khaki chinos",
    "white oxford shirt",
    "brown loafers"
  ],
  "style_preference": "classic"
}

Advanced HTTP details

For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.

curl fallback

curl https://gg402.vercel.app/fashion_outfit_recommender \
  -H "Content-Type: application/json" \
  -H "X-PAYMENT: [signed_payment_envelope]" \
  -d '{"weather":{"temp_c":12,"condition":"rainy"},"occasion":"business_casual","wardrobe":["navy blazer","khaki chinos","white oxford shirt","brown loafers"],"style_preference":"classic"}'

Payment & settlement details

Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.

baseexact
$0.010
per call
Pay-to address0x9257cd24721e3c06e9f7655b77c283bcd9652132
T/O: 60s asset 0x8335…2913

Price & network

Cheapest call$0.010
Networks
base

Trust & risk

Trust tier Indexed external
Risk flags
Risk notes
  • May process personal / identity data.
View JSON bundle

Indexed from facilitator discovery data

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