Check if an AI model is deprecated, retiring, or silently changed price or context window.
| Endpoint | https://isitdeprecated.com/mcp (streamable-http) |
|---|---|
| Registry version | 0.1.0 |
| Now | 4 tools · grade A (98) · pin ts_8ed885567fe5cf88eb9909848906ddee · protocol 2025-06-18 |
| First / last listed | 2026-11-01 01:27 UTC / 2026-11-01 01:27 UTC |
| Grade over time | 2026-11-01: A (98), 4 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: check_model check_models upcoming_retirements recent_changes
check_model | Check whether an AI model identifier is deprecated, retiring, or has silently changed (price, context window, capabilities). Accepts any spelling a provider or SDK uses, e.g. 'gpt-4-turbo', 'azure/gpt-4.1-mini', 'claude-opus-4-1-20250805'. Call this before writing a model identifier into code. params: model* |
check_models | Check many model identifiers at once and report which are retired or scheduled for retirement. Use when auditing a codebase or config. params: models* |
upcoming_retirements | List models with an announced retirement date inside a horizon, soonest first. params: within_days |
recent_changes | Recent breaking changes across AI model APIs: price moves, context-window cuts, removed capabilities, removals. One entry per real upstream change. params: limit, min_severity |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.