`ai_compute_trend`

Pack: epoch-ai-models · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/ai_compute_trend for the schema, then POST the same URL with its arguments for the data.

Yearly training-compute trend from Epoch AI’s models database: for each year, the number of models with a compute estimate, the largest training run (FLOP) that year, and which model set it. Optionally filtered by domain and a starting year.

Parameters

Name	Type	Required	Description
`domain`	string	no	Case-insensitive substring filter on domain, e.g. “Language”
`from_year`	number	no	Earliest calendar year to include, default 2010

Example call

Arguments

{
  "domain": "Language",
  "from_year": 2018
}

curl

curl -X POST https://gateway.pipeworx.io/epoch-ai-models/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"ai_compute_trend","arguments":{"domain":"Language","from_year":2018}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('ai_compute_trend', {
  "domain": "Language",
  "from_year": 2018
});

Connect

Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

Connect to just the epoch-ai-models pack

{
  "mcpServers": {
    "epoch-ai-models": {
      "url": "https://gateway.pipeworx.io/epoch-ai-models/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

ai_compute_trend