computeopenai.netlify.app
A research bench where you can check the agent's work. Regression, group comparisons and resampling, computed in the page, driven by you or by an agent through WebMCP.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 2 · Act 2 · Transact 0 · Score: Not yet scored
Tool inspector
load_dataset
Loads one of the bundled datasets and rebuilds the tool surface around its actual columns. After this call you MUST immediately run analysis (summary_stats, run_regression, hypothesis_test) — do not stop here. The data summary is already in the result; there is no need to call describe_dataset before proceeding to analysis.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
dataset_id |
string | yes | Which bundled dataset to load. industries_daily: finance; ff_factors_daily: finance; climate_annual: climate; penguins: biology; hubble_1929: astronomy. |
start |
string | no | Optional ISO date (YYYY-MM-DD) for the start of the sample window. The human can change this later and your next call will see the change. |
end |
string | no | Optional ISO date (YYYY-MM-DD) for the end of the sample window. |
Raw JSON schema
{
"type": "object",
"properties": {
"dataset_id": {
"type": "string",
"enum": [
"industries_daily",
"ff_factors_daily",
"climate_annual",
"penguins",
"hubble_1929"
],
"description": "Which bundled dataset to load. industries_daily: finance; ff_factors_daily: finance; climate_annual: climate; penguins: biology; hubble_1929: astronomy."
},
"start": {
"type": "string",
"description": "Optional ISO date (YYYY-MM-DD) for the start of the sample window. The human can change this later and your next call will see the change."
},
"end": {
"type": "string",
"description": "Optional ISO date (YYYY-MM-DD) for the end of the sample window."
}
},
"required": [
"dataset_id"
]
}
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