com.airatecard/ai-rate-card · v1.0.0 · productivity
AI Rate Card is healthy: it completed an MCP handshake in 2725 ms and exposes 13 tools.
Daily-checked AI model API prices from 120+ providers: search, compare, cheapest, cost estimates.
Endpoint: https://airatecard.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 13 |
| Latency | 2725 ms |
| Last checked (UTC) | 2026-11-04T14:40:32.068Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-04T14:40:32.068Z | Healthy | 2725 |
search_offers | Search current AI model offers (one model at one provider = one offer) by words, model type and limits; priced offers first, doubtful prices after sane ones. Each row has offer_id, model_id, provider_id, prices in USD per 1M tokens (or per unit), card_url and a cite line. Next: get_card {"card_id": |
get_model_prices | Every seller's current price of one model (an id, or a name to search for), cheapest input first. |
cheapest_offers | The cheapest current offers (rows: one model at one provider) of one model type, by input price. For the cheapest MODELS of a job (one row per model) use cheapest_models_by_task; for a monthly workload use cheapest_for_workload. |
compare_models | 2 to 5 models side by side: the best current offer of each and, for up to 4, every field compared (lowest and median input/output price, context, max output, providers, regions, a 1M-in/200k-out workload cost), who wins by how many percent, providers selling all, and summary sentences. |
estimate_cost | The cost of a workload (input, output and cached input tokens, number of requests) at every current provider of one model, cheapest first, in USD - what the same job costs where. |
get_card | One card with its citation. card_id is '<kind>:<key>': offer:<provider>|<model id as the provider writes it> (e.g. offer:anthropic|claude-opus-4), model:<creator>/<model> (e.g. model:anthropic/claude-opus-4), seller:<provider key> (e.g. seller:anthropic). Ids come from search_offers (offer_id, model |
validate_provider_files | For a provider (seller) joining the catalog: check a models.yaml before putting it online - the same check as the wizard and POST /v1/provider/validate. Give the file's text in `models` (YAML, or the same structure as JSON text); `domain` (the provider's site) makes the model_page checks exact. Retu |
cheapest_for_workload | The cheapest offers for a whole monthly workload, ranked by monthly cost in USD: give a preset (a typical job; see list_workload_presets) and/or your own tokens a month. Best offer of each model; free promos and batch/flex/priority/regional prices left out unless asked. Each row: monthly_cost_usd, p |
list_workload_presets | The ready-made workloads of cheapest_for_workload: name, what job it is, tokens a month, context needed, model type. |
list_articles | AI Rate Card's articles on AI model prices (the cheapest models by task, price moves, costs), newest first, with their links - to quote or point a reader to. |
cheapest_models_by_task | The n cheapest MODELS for a job (task): each model counted once at its own lowest current price (input tokens by default). One row per model with that price, where it is and card_url. |
most_expensive_models_by_task | The n most expensive MODELS for a job (task): each model counted once at its own lowest current price, highest first - the top of the market. Same arguments as cheapest_models_by_task. |
median_price_by_task | The typical (median) current price of a job (task) across models, and the n models closest to it - what a normal price for this job is. Same arguments as cheapest_models_by_task. |