ai-rate-card
Registry code: 5eea063ee3a3e785
AI Rate Card (airatecard.com) is an independent catalog of AI model offers and prices, collected daily from sellers' own pricing pages and APIs. Use search_offers, get_model_prices, cheapest, compare_models and get_card to answer price questions; for "what is cheapest/dearest/typical for a job" (not a model type) use cheapest_models, dearest_models and median_models with a task (text, vision, image, video, stt, tts, embedding, rerank, moderation) - current prices only, no history tool. Every result carries a card_url and a ready "cite" line ("Source: AI Rate Card, <card URL>, prices checked…
- endpoint
- https://airatecard.com/mcp
- protocol
- streamable-http ·2025-06-18
- authentication
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- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is ai-rate-card live?
- Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
- Is ai-rate-card free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does ai-rate-card have?
- 13 tools: estimate_cost, get_card, search_offers, get_model_prices, compare_models, validate_provider_files, workload_presets, cheapest_models, ….
- Is ai-rate-card safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 13 tools
- unknown → live
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Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
list_articles open 1h ago
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.
{ "type": "object", "properties": { "lang": { "enum": [ "en", "de", "fr", "es", "pt", "ru" ], "type": "string", "description": "language of the articles, en by default" } }, "additionalProperties": false }arguments 18 linescheapest open 1h ago
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 cheapest_for_workload.
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 20, "minimum": 1, "description": "rows, 10 by default" }, "category": { "enum": [ "llm", "embedding", "rerank", "moderation", "ocr", "search", "image_generation", "image_editing", "video_generation", "text_to_speech", "speech_to_text", "speech_to_speech", "audio_generation", "3d_generation" ], "type": "string", "description": "model type, llm (text models) by default" } }, "additionalProperties": false }arguments 32 linesestimate_cost unknown never probed
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.
{ "type": "object", "required": [ "model" ], "properties": { "model": { "type": "string", "description": "model id or a name to search for" }, "requests": { "type": "integer", "minimum": 1, "description": "number of calls (for per-request prices)" }, "input_tokens": { "type": "integer", "minimum": 0, "description": "input tokens of the whole job, e.g. 1000000" }, "output_tokens": { "type": "integer", "minimum": 0, "description": "output tokens of the whole job, e.g. 200000" }, "cached_input_tokens": { "type": "integer", "minimum": 0, "description": "of the input, tokens read from the prompt cache" } }, "additionalProperties": false }arguments 33 linesget_card unknown never probed
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_id, provider_id) and from the card_url of every result. Works for every seller, a hidden test seller too.
{ "type": "object", "required": [ "card_id" ], "properties": { "card_id": { "type": "string", "description": "offer:<provider>|<model>, model:<creator>/<model> or seller:<key>" } }, "additionalProperties": false }arguments 13 linessearch_offers unknown never probed
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": "offer:<offer_id>"} for one offer, get_model_prices for one model everywhere, estimate_cost / cheapest_for_workload for a cost.
{ "type": "object", "properties": { "sort": { "enum": [ "price_input", "price_output", "context", "name", "price_unit", "variant", "seller", "subscription", "max_output", "accepts", "checked", "category", "price_cache_read", "price_cache_write", "region", "input_modalities", "output_modalities", "reasoning", "quantization", "params_total", "params_active", "features", "api_endpoints", "hf_model_id", "expiration", "status", "price_status", "max_input", "capabilities", "knowledge_cutoff", "launched_at", "data_policy", "cost", "votes" ], "type": "string", "description": "order, price_input (cheapest input first) by default" }, "limit": { "type": "integer", "maximum": 50, "minimum": 1, "description": "rows, 20 by default" }, "multi": { "type": "boolean", "description": "also (or only, with no category) the multimodal offers that qualify (WP-0086)" }, "query": { "type": "string", "description": "words of the model, seller or display name" }, "category": { "enum": [ "llm", "embedding", "rerank", "moderation", "ocr", "search", "image_generation", "image_editing", "video_generation", "text_to_speech", "speech_to_text", "speech_to_speech", "audio_generation", "3d_generation" ], "type": "string", "description": "model type: llm (text models), embedding, image_generation, text_to_speech ...; none = every type" }, "free_only": { "type": "boolean", "description": "only offers that cost nothing (default false)" }, "min_context": { "type": "integer", "description": "context window in tokens, at least" }, "input_modality": { "type": "string", "description": "e.g. text, image, audio" }, "max_input_price": { "type": "number", "description": "USD per 1M input tokens, at most" } }, "additionalProperties": false }arguments 96 linesget_model_prices unknown never probed
Every seller's current price of one model (an id, or a name to search for), cheapest input first.
{ "type": "object", "required": [ "model" ], "properties": { "model": { "type": "string", "description": "model id or a name to search for" } }, "additionalProperties": false }arguments 13 linescompare_models unknown never probed
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.
{ "type": "object", "required": [ "models" ], "properties": { "models": { "type": "array", "items": { "type": "string" }, "maxItems": 5, "minItems": 2, "description": "model ids (e.g. openai/gpt-4o-mini, as model_id in search_offers rows) or names to search for" } }, "additionalProperties": false }arguments 18 linesvalidate_provider_files unknown never probed
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. Returns ok, the problems (file, line, model, path, value, code, message, hint - fix each and call again), the catalog's preview of the models and next_action. Call it before provider_publish; no account needed. Templates: /static/templates/models.min.yaml (required fields only) and models.yaml (every field with hints).
{ "type": "object", "required": [ "models" ], "properties": { "name": { "type": "string", "description": "the provider's name" }, "domain": { "type": "string", "description": "the provider's domain, e.g. example.ai" }, "models": { "type": "string", "description": "the models.yaml text" } }, "additionalProperties": false }arguments 21 linesworkload_presets unknown never probed
The ready-made workloads of cheapest_for_workload: name, what job it is, tokens a month, context needed, model type.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linescheapest_models unknown never probed
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.
{ "type": "object", "required": [ "task" ], "properties": { "n": { "type": "integer", "maximum": 10, "minimum": 1, "description": "10 by default" }, "task": { "enum": [ "embedding", "image", "moderation", "rerank", "stt", "text", "tts", "video", "vision" ], "type": "string", "description": "what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type)" }, "scope": { "enum": [ "all", "specialized", "universal", "multi" ], "type": "string", "description": "all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086)" }, "component": { "type": "string", "description": "input_tokens (default), output_tokens, or the task's own unit" } }, "additionalProperties": false }arguments 44 linesdearest_models unknown never probed
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.
{ "type": "object", "required": [ "task" ], "properties": { "n": { "type": "integer", "maximum": 10, "minimum": 1, "description": "10 by default" }, "task": { "enum": [ "embedding", "image", "moderation", "rerank", "stt", "text", "tts", "video", "vision" ], "type": "string", "description": "what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type)" }, "scope": { "enum": [ "all", "specialized", "universal", "multi" ], "type": "string", "description": "all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086)" }, "component": { "type": "string", "description": "input_tokens (default), output_tokens, or the task's own unit" } }, "additionalProperties": false }arguments 44 linesmedian_models unknown never probed
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.
{ "type": "object", "required": [ "task" ], "properties": { "n": { "type": "integer", "maximum": 10, "minimum": 1, "description": "10 by default" }, "task": { "enum": [ "embedding", "image", "moderation", "rerank", "stt", "text", "tts", "video", "vision" ], "type": "string", "description": "what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type)" }, "scope": { "enum": [ "all", "specialized", "universal", "multi" ], "type": "string", "description": "all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086)" }, "component": { "type": "string", "description": "input_tokens (default), output_tokens, or the task's own unit" } }, "additionalProperties": false }arguments 44 linescheapest_for_workload unknown 1h ago
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 promos and batch/flex/priority/regional prices left out unless asked. Each row: monthly_cost_usd, prices, context, checked_at, card_url and a ready cite line.
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 50, "minimum": 1, "description": "rows, 10 by default" }, "query": { "type": "string", "description": "only models or providers matching these words, e.g. claude" }, "tools": { "type": "boolean", "description": "the model must support tool/function calling" }, "preset": { "enum": [ "chatbot", "coding_agent", "rag", "summarization", "long_context", "vision", "embedding_index", "trial" ], "type": "string", "description": "chatbot | coding_agent | rag | summarization | long_context | vision | embedding_index | trial - fills tokens, min_context, category; your own values win" }, "category": { "enum": [ "llm", "embedding", "rerank", "moderation", "ocr", "search", "image_generation", "image_editing", "video_generation", "text_to_speech", "speech_to_text", "speech_to_speech", "audio_generation", "3d_generation" ], "type": "string", "description": "model type, llm by default" }, "min_context": { "type": "integer", "minimum": 1, "description": "context window needed, tokens, e.g. 128000" }, "include_free": { "type": "boolean", "description": "also free / promo offers (default false)" }, "input_tokens": { "type": "integer", "minimum": 0, "description": "input tokens a month, e.g. 10000000" }, "one_per_model": { "type": "boolean", "description": "only the best offer of each model (default true)" }, "output_tokens": { "type": "integer", "minimum": 0, "description": "output tokens a month, e.g. 2000000" }, "input_modality": { "type": "string", "description": "the model must accept this input, e.g. image" }, "include_special": { "type": "boolean", "description": "also batch, flex, priority, regional prices (default false)" } }, "additionalProperties": false }arguments 85 lines
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