accueil / serveurs / Recherche & Web / app.slxd/aiapipricing
app.slxd/aiapipricing
serveur MCP (Model Context Protocol) · AI API Pricing 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que app.slxd/aiapipricing est sûr ?
Au dernier audit MCP Hub, le serveur MCP « app.slxd/aiapipricing » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 10 outils
- compare_models≈ 165 tokens
Returns the current prices of several models side by side. Amounts in credits are never converted to money, so a credit-billed model is not comparable to a token-billed one. Two dimensions can share a label, so the ones that would collide carry their qualifiers, e.g. 'Web search (context size: high)'.
Paramètres, retour & exemple (1)
Paramètresmodels· array · requis
Exemple d'appel{"name": "compare_models", "arguments": {"models": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - data_sources≈ 94 tokens
Explains where the prices come from: which sources are consulted, their weight and licence, when each last succeeded, and whether any is currently failing. Use this to judge how much to trust a price.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "data_sources", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - find_tools≈ 167 tokens
Searches the full catalogue of available tools by keyword and returns the matching tool names with a short description. Use it when no directly-listed tool fits the task — many tools are available but not listed. Then call tool_schema for the one you picked, and run_tool to execute it.
Paramètres, retour & exemple (1)
Paramètresquery· string · requis
Space-separated keywords, e.g. 'invoice pdf export'. Matched against tool names and descriptions; any term may match.
Exemple d'appel{"name": "find_tools", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_model_price≈ 295 tokens
Returns every current price for one model — input, output, cached reads, batch and priority tiers, context brackets — with the confidence level and which sources agree. By default these are the maker's own prices; pass `channel` to get what a reseller charges for the same model instead. Two dimensions can share a label, so the ones that would collide carry their qualifiers, e.g. 'Web search (context size: high)'.
Paramètres, retour & exemple (2)
Paramètresmodel· string · requis
Model id as `provider/slug`, e.g. `anthropic/claude-sonnet-4-5`.channel· string · optionnel · direct | vertex | bedrock | azure | sagemaker | databricks | snowflake | watsonx
Sales channel to price. Omit for the maker's own price. `direct` is the maker, the rest resell the same model at their own rate; a channel that does not sell this model returns the model with no prices.
Exemple d'appel{"name": "get_model_price", "arguments": {"model": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_providers≈ 112 tokens
Lists every provider in the catalogue and how many models each has. These are the houses that MAKE the models: a reseller (Vertex, Bedrock, Azure, OpenRouter, a subscription plan) is a sales channel, not a provider — ask `get_model_price` with a `channel` for what one of those charges.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_providers", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - price_history≈ 227 tokens
Returns a model's price over time. Each point is [date, amount] with the date as YYYY-MM-DD. The series holds only the points where the price CHANGED — prices are step functions, so a stable model is one point, not one per day; when a price changed twice on one day, both points are returned with the same date, in order. One series per price dimension: two dimensions can share a label, so the ones that would collide carry their qualifiers, e.g. 'Web search (context size: high)'.
Paramètres, retour & exemple (3)
Paramètresto· string · optionnel
ISO date, inclusive.from· string · optionnel
ISO date, inclusive.model· string · requis
Model id as `provider/slug`, e.g. `anthropic/claude-sonnet-4-5`.
Exemple d'appel{"name": "price_history", "arguments": {"model": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - recent_changes≈ 104 tokens
Lists recent price increases, decreases, additions and removals across the catalogue, newest first.
Paramètres, retour & exemple (2)
Paramètresdays· integer · optionnellimit· integer · optionnel
Exemple d'appel{"name": "recent_changes", "arguments": {"days": 1, "limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - run_tool≈ 185 tokens
Executes a tool by name with the given arguments. Use it for tools that are not directly listed — look them up with find_tools and check their arguments with tool_schema first. Prefer a directly-listed tool whenever one fits. If the action is destructive, ask the user to confirm before calling it.
Paramètres, retour & exemple (2)
Paramètresname· string · requis
Exact tool name, as returned by find_tools.arguments· object · optionnel
Arguments object matching the tool's schema.
Exemple d'appel{"name": "run_tool", "arguments": {"name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_models≈ 136 tokens
Searches the catalogue of AI models and returns their current prices, with a confidence level and the sources backing each price.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnelquery· string · optionnel
Free text matched against name and id.provider· string · optionnel
Restrict to one provider slug, e.g. `openai`.
Exemple d'appel{"name": "search_models", "arguments": {"limit": 1, "query": "texte", "provider": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - tool_schema≈ 112 tokens
Returns the full input schema of a single tool, including which arguments are required. Call it after find_tools and before run_tool.
Paramètres, retour & exemple (1)
Paramètresname· string · requis
Exact tool name, as returned by find_tools.
Exemple d'appel{"name": "tool_schema", "arguments": {"name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
C'est votre serveur ?
Revendiquez-le sur l'espace créateur (preuve GitHub, domaine ou npm) pour afficher le badge « propriétaire vérifié » et lancer un pentest comportemental à la demande afin d'obtenir le badge « Vérifié ».