Agent Weather Models Category Report is a paid API for AI agents from api.agentweather.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Returns a category-filtered report of OpenRouter AI models including pricing, status, vendor health, and recent changes for a named model category
AI provider health readings and a combined record for AI agents, each reading with its source and timestamp. `/v1/decide/provider-health` returns one AI provider's status-page reading plus its last 24h in our record; `/v1/agent-weather/current` returns the combined record in one call (AI provider health, x402 payment activity on the XRP Ledger, agent tooling). For XRP Ledger users: x402 merchant readings by XRPL address at `/v1/merchant/{address}`. OpenRouter model price readings: `/v1/models/report` and `/v1/decide/cheapest-model`. Raw readings first; gaps are reported, not filled. Pay per request with [x402](https://x402.org) v2 (scheme `exact`): RLUSD on the XRP Ledger (`xrpl:0`) or USDC on Base (`eip155:8453`), same price on every paid route. No API key or account. **Payment flow** 1. Call the paid endpoint without payment and receive **402** with a `PAYMENT-REQUIRED` header (base64 of the same JSON as the body). Each 402 mints a fresh single-use `extra.invoiceId`. 2. Choose an `accepts[]` entry: RLUSD on XRPL (sign an XRPL `Payment` bound to that invoice) or, where offered, USDC on Base (sign an EIP-3009 authorization), and retry with the base64 x402 `PaymentPayload` in `PAYMENT-SIGNATURE`. 3. The server verifies and settles through the facilitator and re-checks the transaction on-ledger. It then returns **200** with the report and a `PAYMENT-RESPONSE` header. Settlement uses the T54 XRPL mainnet facilitator (`https://xrpl-facilitator-mainnet.t54.ai`) for RLUSD and the CDP facilitator for USDC on Base. Use the `x402-xrpl` client (npm/PyPI). The reference `@x402/xrpl` client currently can't pay through T54 (https://github.com/x402-foundation/x402/issues/3527). The live `/.well-known/x402` catalog is the source of truth for prices. For a free format preview, GET `/v1/sample/yesterday`; it returns the latest stored snapshot at least 24 hours old, with no payment required, and is cached hourly.
A structured category conditions report containing: list of models with IDs, names, vendor, context length, input/output modalities, pricing per 1M tokens, standard job cost estimate, expiration dates, and status; aggregate counts of models, vendors, new additions in 24h/7d, price changes in 24h, expiring models; disturbance records including current issues and vendor status unknowns; list of price movers and retiring models; source provenance with URLs and observed timestamps; report ID and issuance timestamp.
GEThttps://api.agentweather.io/v1/models/category/%7Bname%7D?utm_source=zero.xyzChoose this endpoint when you need a comprehensive snapshot of all AI models within a specific category (e.g. image-output, text, coding) including vendor health, pricing trends, new arrivals, and disturbances in a single call. Prefer it over generic model listing APIs when you need structured change-tracking (price moves, new models, expirations) and vendor operational status combined. Use it when building agent decision logic that needs to select or rank models within a category based on cost and availability.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"kind": "category conditions report",
"rule": "`architecture.output_modalities` contains \"image\"",
"sort": {
"by": "id (alphabetical)",
"options": "?sort=cost to order by standard_job_cost_usd"
},
"counts": {
"models": 12,
"new_7d": 0,
"new_24h": 0,
"vendors": 3,
"removed_7d": 0,
"price_changes_24h": 0,
"expiring_within_60d": 0,
"with_expiration_date": 0,
"vendors_disturbed_now": 1,
"variable_price_entries": 2,
"vendors_status_unknown": 1
},
"models": [
{
"id": "google/gemini-2.5-flash-image",
"name": "Google: Nano Banana (Gemini 2.5 Flash Image)",
"status": "operational",
"vendor": "google",
"context_length": 32768,
"expiration_date": null,
"input_modalities": [],
"output_modalities": [],
"price_in_usd_per_1m": 0.3,
"price_out_usd_per_1m": 2.5,
"standard_job_cost_usd": 0.0055
}
],
"sources": [
{
"url": "https://openrouter.ai/api/v1/models",
"name": "OpenRouter public model list (no key)",
"observed_at": "2026-10-12T02:21:05.825Z"
}
],
"summary": "image-output: 12 models from 3 vendors; 0 price change(s) in 24h; 0 new in 24h,…",
"category": "image-output",
"issued_at": "2026-10-12T02:34:12.750Z",
"report_id": "awmc-20261012T0234Z-image-output",
"new_models": {
"note": "models already listed when collection began are not counted as new",
"last_7d": [],
"last_24h": [],
"observed_since": "2026-10-07T13:39:34.249Z"
},
"disturbances": {
"now": [
{}
],
"status_changes_24h": [],
"vendors_status_unknown": [
"openrouter"
]
},
"example_data": false,
"schema_version": "model-conditions-0.1.0-draft",
"retiring_models": [],
"price_movers_24h": []
}
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