com.airatecard/ai-rate-card
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Publisher-provided title
AI Rate Card
Publisher-provided description
Daily-checked AI model API prices from 120+ providers: search, compare, cheapest, cost estimates.
Summary by lookupd
Look up, compare and estimate current AI model API prices across many providers, including workload costs, caching savings and cheapest…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ai-rate-card https://airatecard.com/mcp
Codex, remote (streamable-http)
codex mcp add ai-rate-card --url https://airatecard.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ai-rate-card": {
"url": "https://airatecard.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (20 tools)
Publisher-provided text
search_offersSearch 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. Eaget_model_pricesEvery seller's current price of one model (an id, or a name to search for), cheapest input first.cheapest_offersThe 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 cheapecompare_models2 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, prestimate_costThe 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 sammedia_costThe cost of an images / video / voice job at every model that sells it by its own unit, the cheapest offer of each model, cheapest first, USD: kind image (quantbudget_fitWhat a monthly budget buys: for budget USD a month and a typical request (input and output tokens), how many requests a month and a day each model gives at itsrag_costWhat a RAG / document-search set-up costs in embeddings and reranking: pages of documents and tokens per page embedded once, the percent changed and re-embeddedagent_costWhat a coding / tool-using agent costs a month on each model: tasks a day, model calls per task, context tokens per call, answer and reasoning tokens per call,subscription_vs_apiIs a chat subscription (e.g. Claude Pro) cheaper than the same use through the API? Messages a day and tokens per message priced at the cheapest real-time sellecache_batch_savingsWhat prompt caching and batch / flex save on one model: monthly input and output tokens priced at every listed seller plain, with the given share of input readmodels_by_classBase models by class S/A/B/C/D in one direction (S best; today: reasoning), best score first: class (null = one source, score only), score 0-100, sources and eaget_cardOne 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:<creatovalidate_provider_filesFor 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 thcheapest_for_workloadThe 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 tokenslist_workload_presetsThe ready-made workloads of cheapest_for_workload: name, what job it is, tokens a month, context needed, model type.list_articlesAI 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_taskThe 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, whmost_expensive_models_by_taskThe 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 asmedian_price_by_taskThe 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 cheape
Details
- Version: 1.0.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 895 ms
- First indexed:
- Last seen in registry:
- Website: https://airatecard.com/docs
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