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Stack Facts: LLM Model Catalog Changes Feed
x402
Stack Facts: LLM Model Catalog Changes Feed is a paid API for AI agents from g5joilnmeep4ntz3nwezxt5dmu.srv.us, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-13).
Returns a diff of LLM model changes (additions, removals, modifications including pricing and capabilities) between two named snapshots of the model catalog.
Price / call$0.02
Success—
StatusUnknown
How this service works
Check a package before install: malware, known vulnerabilities (OSV), exploited CVEs (CISA KEV) and end-of-life, plus LLM prices; signed answers, pay per call in USDC, no account or API key.
Output
A signed JSON payload containing: the 'since' and 'to' snapshot IDs, lists of added and removed model IDs, full modified model objects (with fields like input_usd_per_mtok, output_usd_per_mtok, context_tokens, deprecation_date, tool_call, vision, reasoning, etc.), counts of changes, and a metadata block with timestamp, dataset, licence, SHA-256 hash, and cryptographic signature for integrity verification.
Example use cases
Detecting newly deprecated AI models
“Have any LLM models been deprecated or removed since snapshot models-20261009T050000Z-044bcb8b? I want to know if anything I'm currently using got deprecated.”
Tracking LLM pricing changes for cost management
“What pricing changes happened to AI models since snapshot models-20261009T050000Z-044bcb8b? I need to know if input or output costs shifted for any major providers.”
Alerting pipeline on new model releases
“Check the LLM model catalog changes since models-20261009T050000Z-044bcb8b and tell me if any new models were added, especially from OpenAI or Anthropic.”
Technical details
Endpoint
GEThttps://g5joilnmeep4ntz3nwezxt5dmu.srv.us/v1/models/changes?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a precise, signed diff of LLM model catalog changes between two known snapshots — particularly for automated pipelines that track model deprecations, pricing shifts, new releases, or capability updates. Prefer this over scraping provider docs or polling general model lists because it provides cryptographically signed, normalized data across multiple providers (OpenAI, Anthropic, Perplexity, etc.) with no API key required, paid per-call in USDC via x402.
Side effects
- Invalid or malformed 'since' snapshot ID returns an error — must match pattern ^models-\d{8}T\d{6}Z-[0-9a-f]{8}$
- Snapshot ID references a snapshot older than the available history window — no data returned
- Payment not received or insufficient USDC balance — 402 response blocking access
- Stale data flag set to true in meta if the underlying dataset hasn't refreshed recently
- Network timeout if the upstream model data sources are unavailable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"to": "models-20261009T060000Z-f99d55c9",
"added": [],
"since": "models-20261009T050000Z-044bcb8b",
"counts": {
"added": 1,
"removed": 1,
"modified": 2
},
"removed": [
"perplexity/sonar"
],
"modified": [
{
"id": "openai/gpt-4o-mini",
"mode": "chat",
"name": "GPT-4o mini",
"model": "gpt-4o-mini",
"status": null,
"vision": true,
"aliases": [],
"sources": {},
"provider": "openai",
"reasoning": false,
"tool_call": true,
"deprecated": true,
"release_date": "2024-07-18",
"context_tokens": 128000,
"deprecation_date": "2026-10-01",
"input_modalities": [
"text"
],
"knowledge_cutoff": "2023-09",
"sources_disagree": [],
"max_output_tokens": 16384,
"output_modalities": [
"text"
],
"input_usd_per_mtok": 0.15,
"output_usd_per_mtok": 0.6,
"days_until_deprecation": -8,
"cache_read_usd_per_mtok": 0.075,
"cache_write_usd_per_mtok": null
}
],
"snapshots_merged": 1
},
"meta": {
"as_of": "2026-10-09T06:00:00Z",
"stale": false,
"key_id": "sf-test-1",
"notice": "Normalised (modified) from the …",
"sha256": "f99d55c9aa420561de698d63d70d916…",
"source": "https://raw.githubusercontent.c…",
"dataset": "models",
"licence": "MIT",
"signature": "AvlI5FXM8fD9oncZAr9velQseOBO9X7…",
"attribution": "Pricing data derived from LiteL…",
"snapshot_id": "models-20261009T060000Z-f99d55c9",
"manifest_url": "/v1/models/manifest",
"retrieved_at": "2026-10-09T06:00:00.000Z"
}
}
}Tags
x402
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