Once ElevenFlo is connected, paste one into Claude or ChatGPT and replace any bracketed text. Questions that query a dataset need Pro.
Which chapter 11 debtors disclosed trucks or trailers in the past six months, and how many units each?
List the forklifts and construction equipment disclosed in [case name], with make, model, year and stated value.
Which cases disclose the most machinery, equipment and vehicle units, by court?
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: All current resolved case assets
CoverageNot checked
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": "case-assets",
"where": [
{
"field": "case_id",
"op": "eq",
"value": 1
}
]
}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 case-assets.
CompletenessNot checked
Checks for missing or unresolved fields.
https://elevenflo.com/mcp