`experiment_models`

Pack: ai-model-experiments · Endpoint: https://gateway.pipeworx.io/ai-model-experiments/mcp

List AI models available for experiments (about 300 across Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, Qwen and more), with context window and OUR per-token prices (provider cost × 1.5 — what experiments actually bill). Filter by name/vendor search, minimum context, or max price. Use the returned model ids in experiment_create. Example: experiment_models({ search: “claude”, min_context: 100000 })

Parameters

Name	Type	Required	Description
`search`	string	no	Substring match on model id or name, e.g. “claude”, “gpt”, “llama”
`min_context`	number	no	Minimum context window in tokens
`max_price_per_mtok`	number	no	Max billed OUTPUT price in USD per million tokens
`limit`	number	no	Max models to return (default 30)

Example call

Arguments

{
  "search": "claude",
  "min_context": 100000
}

curl

curl -X POST https://gateway.pipeworx.io/ai-model-experiments/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"experiment_models","arguments":{"search":"claude","min_context":100000}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('experiment_models', {
  "search": "claude",
  "min_context": 100000
});

More examples

{
  "search": "gpt",
  "max_price_per_mtok": 0.03,
  "limit": 10
}

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "ai-model-experiments": {
      "url": "https://gateway.pipeworx.io/ai-model-experiments/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

experiment_models