SLXD AI API Pricing is answering right now. Last checked 4 min ago. It exposes 10 tools.
Look up, compare and track AI model API prices from an AI assistant. No sign-in needed.
Uptime history
7 days of history
7 days agonow
100.0%
Uptime 24h
92 of 92 checks
10
Tools
read from the server
223 ms
Response time
average over 24h
open, no key
Access
streamable-http
Nothing serious here today
Today is the operative word: we check SLXD AI API Pricing every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.
run in your terminal
claude mcp add aiapipricing --transport http https://aiapipricing.slxd.app/mcp/aiapipricingSettings → Connectors → Add custom connector, then paste this address
https://aiapipricing.slxd.app/mcp/aiapipricing~/.codex/config.toml
[mcp_servers.aiapipricing]
url = "https://aiapipricing.slxd.app/mcp/aiapipricing".cursor/mcp.json
{
"mcpServers": {
"aiapipricing": {
"url": "https://aiapipricing.slxd.app/mcp/aiapipricing"
}
}
}.vscode/mcp.json
{
"servers": {
"aiapipricing": {
"type": "http",
"url": "https://aiapipricing.slxd.app/mcp/aiapipricing"
}
}
}Available tools 10
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
tool
run_tool
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.
tool_schema
Returns the full input schema of a single tool, including which arguments are required. Call it after find_tools and before run_tool.
compare
compare_models
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)'.
data
data_sources
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.
model
get_model_price
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)'.
models
search_models
Searches the catalogue of AI models and returns their current prices, with a confidence level and the sources backing each price.
price
price_history
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)'.
providers
list_providers
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.
recent
recent_changes
Lists recent price increases, decreases, additions and removals across the catalogue, newest first.
tools
find_tools
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.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://aiapipricing.slxd.app/mcp/aiapipricing | streamable-http | answering | 206 ms | 4 min ago |
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SLXD AI API Pricing — questions
Answers built from our own checks of this server.
What can SLXD AI API Pricing do?
It exposes 10 tools, read directly from the server on our last check. Among them: compare_models, data_sources, find_tools, get_model_price, list_providers, price_history and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
Is SLXD AI API Pricing working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 223 ms. The bar chart above shows every period we have measured.
How do I connect SLXD AI API Pricing?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does SLXD AI API Pricing need an API key?
No. SLXD AI API Pricing completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is SLXD AI API Pricing?
It answers our handshake in 223 ms on average, which is faster than 73% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.