AI Rate Card

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.airatecard/ai-rate-card and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 4 Nov 2026. Not supplied by the maker.

• 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_

• get_model_prices

  Every seller's current price of one model (an id, or a name to search for), cheapest input first.

• cheapest

  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; for a monthly workload use ch

• 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 workl

• 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-

• 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

• cheapest_for_workload

  The cheapest offers for a whole monthly workload, ranked by monthly cost in USD: give a preset (a typical job; see workload_presets) and/or your own tokens a month. Best offer of each model; free prom