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data

The data parent type covers data-centric content including published datasets, statistical reports, dashboards, financial data, and scientific data. This type captures the metadata needed for agents to evaluate data quality, scope, and applicability.

SubtypeQualified TypeDescription
datasetdata.datasetPublished dataset or data download
statisticsdata.statisticsStatistical summaries or reports
reportdata.reportData-driven report or analysis
dashboarddata.dashboardDashboard or data visualization page
financialdata.financialFinancial data, earnings, market data
scientificdata.scientificScientific data and measurements
FieldTypeRequiredDescription
dataset_namestringYesName of the dataset or data source
instrumentstringNoMeasurement instrument or data collection method
time_rangeobjectNoTime period the data covers
frequencystringNoData update frequency (e.g., “daily”, “quarterly”)
unitsstringNoPrimary unit of measurement
methodologystringNoBrief description of data collection methodology
data_pointsintegerNoNumber of data points or records
data type_data
{
"type_data": {
"dataset_name": "US Consumer Price Index (CPI-U)",
"instrument": "Bureau of Labor Statistics survey",
"time_range": {
"start": "2020-01-01",
"end": "2025-02-28"
},
"frequency": "monthly",
"units": "index (1982-84=100)",
"methodology": "Probability-based survey of approximately 94,000 prices from 23,000 retail and service establishments across 75 urban areas.",
"data_points": 62
}
}
FieldTypeDescription
startstring (ISO 8601 date)Start of the time range
endstring (ISO 8601 date)End of the time range
  • dataset_name should be the canonical name of the dataset, not a page title or description.
  • instrument describes how the data was collected, not the platform hosting it.
  • frequency uses human-readable terms: "real-time", "daily", "weekly", "monthly", "quarterly", "annual", "one-time".
  • data_points is an approximate count when exact counts are not available.
  • For financial data pages, entities should include the companies or instruments covered, and claims should capture key numerical assertions.
  • For scientific data, methodology should summarize the experimental design or measurement protocol.