Once ElevenFlo is connected, paste one into Claude or ChatGPT and replace any bracketed text. Questions that query a dataset need Pro.
Who was on the creditors' committee in [case name] on [date]?
How did the creditors' committee roster in [case name] change from one notice to the next?
The served population is what the MCP tools return. The checked population is what the latest quality checks measured.
Automated checks measure the dataset against its filings. Each aspect shows its weakest result.
Checked Nov 7, 2026
Scope: 2021-01-01 through present
CoveragePassing
How much of the checked population the dataset holds.
FreshnessPassing
How recently the dataset was updated and how far it trails its sources.
AccuracyPassing
Checks for known data defects. A pass does not verify every value against its filing.
A search returns the default fields unless it names others. Every field below can be requested.
The arguments a connected AI sends to the named ElevenFlo MCP tool. Each example validates against the public field policy.
search_structured_data{
"dataset": "committee-roster-history",
"where": [
{
"field": "case_id",
"op": "eq",
"value": 2051
},
{
"field": "date_filed",
"op": "lte",
"value": "2023-01-01"
},
{
"field": "observed_until",
"op": "gt",
"value": "2023-01-01"
}
],
"select": [
"id",
"case_id",
"committee_id",
"members",
"source_filing_url",
"next_observation_date"
],
"page_size": 100
}Searching and analyzing datasets takes Pro, at $99 per seat per month with 10,000 MCP credits a month. Free accounts can connect, read each dataset’s fields and caveats, and use 200 credits a month on case and filing research. See pricing
https://elevenflo.com/mcpQuery it through the ElevenFlo MCP server as committee-roster-history.
CompletenessPassing
Checks for missing or unresolved fields.
https://elevenflo.com/mcp