10trust / 100

Models Report

by Agent Weather in AI models & inference

x402 APIFailing, checked 4 h ago

Use when you are choosing or monitoring one AI model and need its live prices, price changes, context, status and events. Conditions report for one AI model listed on OpenRouter (GET /v1/models/report?id={model id}): current input/output prices per 1M tokens with 24h and 7d change (absolute and %), standard job cost (10,000 input + 1,000 output tokens, formula shown), context length and modalities, the vendor's own status page indicator and active incidents (unknown when the vendor has no free JSON status feed), listing events in the last 24h and 7d (added, removed, price change, expiration date), days until expiration, sources, timestamps and data age, plus a one-line summary. Every derived value carries its formula. A conditions report, not a ranking: no statement about how well a model performs. Unknown ids get 400 before any payment. JSON. Example (illustrative): GET /v1/models/report?id=openai/gpt-4o → {summary, prices:{input:{usd_per_1m, change_24h}}, standard_job_cost_usd, status, events}. Price: 0.01 RLUSD on XRPL mainnet (xrpl:0; RLUSD issuer rMxCKbEDwqr76QuheSUMdEGf4B9xJ8m5De) or 0.01 USDC on Base.

GET https://api.agentweather.io/v1/models/report

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
0.0%
Response time
- typical, - slowest 5%
Last check
4 h ago: Amount "0.01" is not in atomic token units
Next check
in 3 days

How to call it

# See the payment challenge (nothing is charged)
curl -i -X GET "https://api.agentweather.io/v1/models/report?id=openai%2Fgpt-4o"
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.agentweather.io%2Fv1%2Fmodels%2Freport
const res = await pay("https://api.agentweather.io/v1/models/report?id=openai%2Fgpt-4o");
console.log(await res.json());

Example input

{
  "id": "openai/gpt-4o"
}

Example output

{
  "data_gaps": [
    {
      "gap": "7d price change",
      "reason": "needs a daily baseline from 7 days back (collection began 2026-10-07T13:39:34.249Z)"
    }
  ],
  "events": {
    "last_24h": []
  },
  "example_data": false,
  "issued_at": "2026-10-12T02:34:12.750Z",
  "kind": "model conditions report",
  "model": {
    "categories": [
      "vision-input"
    ],
    "context_length": 128000,
    "days_until_expiration": null,
    "expiration_date": null,
    "first_seen": "2026-10-07T13:39:34.249Z",
    "id": "openai/gpt-4o",
    "input_modalities": [
      "text",
      "image",
      "file"
    ],
    "name": "OpenAI: GPT-4o",
    "output_modalities": [
      "text"
    ],
    "vendor": "openai"
  },
  "prices": {
    "input": {
      "change_24h": {
        "abs_usd_per_1m": 0,
        "pct": 0,
        "reference_at": "2026-10-11T02:02:39.064Z",
        "reference_usd_per_1m": 2.5
      },
      "usd_per_1m": 2.5
    },
    "output": {
      "change_24h": {
        "abs_usd_per_1m": 0,
        "pct": 0,
        "reference_at": "2026-10-11T02:02:39.064Z",
        "reference_usd_per_1m": 10
      },
      "usd_per_1m": 10
    },
    "unit": "USD; OpenRouter lists USD per token as strings, reproduced verbatim in usd_per_token"
  },
  "report_id": "awmr-20261012T0234Z-openai/gpt-4o",
  "schema_version": "model-conditions-0.1.0-draft",
  "sources": [
    {
      "name": "OpenRouter public model list (no key)",
      "observed_at": "2026-10-12T02:21:05.825Z",
      "url": "https://openrouter.ai/api/v1/models"
    }
  ],
  "standard_job_cost_usd": {
    "formula": "10,000 × pricing.prompt + 1,000 × pricing.completion (USD per token). A fixed reference job of 10,000 input + 1,000 output tokens; excludes per-request, image, audio, web-search, cache and other listed fees",
    "input_tokens": 10000,
    "output_tokens": 1000,
    "value": 0.035
  },
  "status": {
    "age_seconds": 252,
    "checked_at": "2026-10-12T02:30:00.361Z",
    "source": "https://status.openai.com/api/v2/summary.json",
    "status": "minor",
    "vendor": "openai"
  },
  "summary": "openai/gpt-4o: input $2.5/1M tokens, output $10/1M; no price change vs 24h ago; standard job (10k in + 1k out) $0.035; context 128000 tokens; vendor status minor (https://status.openai.com/api/v2/summary.json), 1 active incident(s); 7 event(s) in 7d; no expiration date listed."
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
4 h agoAmount "0.01" is not in atomic token units402440 ms$0.01
8 h agoAmount "0.01" is not in atomic token units402578 ms$0.01
13 h agoAmount "0.01" is not in atomic token units402523 ms$0.01
17 h agoAmount "0.01" is not in atomic token units402419 ms$0.01
21 h agoExpected HTTP 402, got 503503540 ms-
24 h agoExpected HTTP 402, got 503503330 ms-
28 h agoExpected HTTP 402, got 503503540 ms-
32 h agoExpected HTTP 402, got 503503737 ms-
37 h agoExpected HTTP 402, got 503503391 ms-
41 h agoAmount "0.01" is not in atomic token units402404 ms$0.01
45 h agoExpected HTTP 402, got 503503373 ms-
2 days agoExpected HTTP 402, got 503503369 ms-
2 days agoExpected HTTP 402, got 503503507 ms-