Live
get_model_task_costs
artificialanalysis.aiReturns per-model Intelligence and Coding Index scores, task cost breakdowns, timing, latency, TTFT, and token counts from https://artificialanalysis.ai.
Parameters1
Runs6
Updated6h ago
Degraded6 runs · 83.3% succeeded
30 days ago90 days agoranfailednot checkedtoday
Playground
Runs on Notte and spends your workspace credits — what comes back is the live response, not a sample.
What is get_model_task_costs?
Returns per-model Intelligence and Coding Index scores, task cost breakdowns, timing, latency, TTFT, and token counts from https://artificialanalysis.ai. It runs on Notte's browser infrastructure and returns structured JSON, so you can call it like any other API — pass models and get the result back without maintaining a scraper.
Response
{
"count": 0,
"records": [
{}
],
"requested_models": [
"<string>"
]
}Call it
curl --location 'https://us-prod.notte.cc/functions/0cfd4528-4af5-4b55-9b23-07b0c78c0c13/runs/start' \
--header 'x-notte-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
"function_id": "0cfd4528-4af5-4b55-9b23-07b0c78c0c13",
"variables": {
"models": ""
}
}'Ask an agent
Paste this into Claude Code, Cursor or any MCP client to have an agent call this function for you.
prompt
Use the Anything API MCP server (https://anything.notte.cc/mcp). Call run(function_id="0cfd4528-4af5-4b55-9b23-07b0c78c0c13") — the "get_model_task_costs" function, which returns per-model Intelligence and Coding Index scores, task cost breakdowns, timing, latency, TTFT, and token counts from https://artificialanalysis.ai.. It takes models (str). Return the result as structured JSON.