{ "$schema": "https://json-schema.org/draft/2020-12/schema", "$id": "https://economy.com/schemas/moodys/time-series.json", "title": "Moody's Analytics Time Series", "description": "Schema for a Moody's Analytics Data Buffet time series response, representing economic, demographic, or financial observations and forecasts over a date range with associated metadata.", "type": "object", "required": [ "mnemonic", "description", "frequency", "data" ], "properties": { "mnemonic": { "type": "string", "description": "The unique series mnemonic identifier following the Data Buffet naming convention. Mnemonics encode the concept, geography, and source of the data.", "examples": [ "FGDP_US", "EMPLPAY.IUSA", "UCUR.IUSA", "FHPI_US" ] }, "description": { "type": "string", "description": "Human-readable description of the time series including the indicator name, geographic scope, and data source.", "examples": [ "Gross Domestic Product, United States", "Total Nonfarm Payrolls, United States", "Consumer Price Index, All Urban Consumers, United States" ] }, "frequency": { "type": "string", "description": "The temporal frequency of the observations in the data array. Indicates how often data points are recorded or reported.", "enum": [ "Annual", "Quarterly", "Monthly", "Weekly", "Daily" ] }, "source": { "type": "string", "description": "The original data source or statistical agency that produces the raw data.", "examples": [ "Bureau of Labor Statistics", "Bureau of Economic Analysis", "Federal Reserve Board", "International Monetary Fund", "Eurostat", "Moody's Analytics" ] }, "geography": { "type": "string", "description": "The geographic area the series covers. Can range from global aggregates to subnational regions.", "examples": [ "United States", "United Kingdom", "European Union", "China", "California", "New York-Newark-Jersey City, NY-NJ-PA MSA" ] }, "geographyCode": { "type": "string", "description": "Standardized geographic area code (ISO 3166 country code or FIPS state/county code).", "examples": [ "US", "GB", "EU", "CN", "US-CA" ] }, "units": { "type": "string", "description": "The unit of measurement for the series values, describing what the numeric values represent.", "examples": [ "Billions of Chained 2017 Dollars", "Thousands of Persons", "Index 1982-84=100", "Percent", "Millions of Units" ] }, "transformation": { "type": "string", "description": "The mathematical transformation applied to the original data, if any.", "enum": [ "Level", "SimpleDifference", "PercentChange", "AnnualizedGrowth", "YearOverYearPercentChange", "CompoundAnnualGrowthRate" ] }, "category": { "type": "string", "description": "The broad economic or demographic category the series belongs to.", "examples": [ "National Accounts", "Labor Markets", "Prices and Inflation", "Housing", "Financial Markets", "Demographics", "Trade", "Government Finance" ] }, "startDate": { "type": "string", "format": "date", "description": "The earliest observation date in the returned data range." }, "endDate": { "type": "string", "format": "date", "description": "The latest observation or forecast date in the returned data range." }, "vintage": { "type": "string", "format": "date", "description": "The vintage date of the data, representing when this revision of the data was published. Enables tracking of historical data revisions." }, "lastUpdated": { "type": "string", "format": "date-time", "description": "ISO 8601 timestamp indicating when the series was last updated in the Data Buffet repository." }, "isForecast": { "type": "boolean", "description": "Whether the series includes forecast values generated by Moody's Analytics proprietary macroeconomic models." }, "forecastStartDate": { "type": "string", "format": "date", "description": "The date at which forecast data begins within the series. All observations before this date are historical actuals." }, "seasonalAdjustment": { "type": "string", "description": "Whether and how the data has been seasonally adjusted.", "enum": [ "Seasonally Adjusted", "Not Seasonally Adjusted", "Seasonally Adjusted Annual Rate" ] }, "data": { "type": "array", "description": "Array of chronologically ordered date-value pairs representing the time series observations and/or forecasts. Each element corresponds to one period at the series frequency.", "items": { "$ref": "#/$defs/Observation" } } }, "$defs": { "Observation": { "type": "object", "title": "Time Series Observation", "description": "A single data point in the time series representing an observed historical value, a preliminary estimate, or a forecast for a specific date period.", "required": [ "date", "value" ], "properties": { "date": { "type": "string", "format": "date", "description": "The observation date in YYYY-MM-DD format. For frequencies coarser than daily, this represents the period start date (e.g., 2024-01-01 for Q1 2024 or January 2024).", "examples": [ "2024-01-01", "2024-04-01", "2024-07-15" ] }, "value": { "type": ["number", "null"], "description": "The observed, estimated, or forecast value for this period. Null indicates missing or unavailable data.", "examples": [ 22038.2, 157.5, 3.7, null ] }, "status": { "type": "string", "description": "Indicates whether this data point is a confirmed historical observation, a preliminary estimate subject to revision, or a model-generated forecast.", "enum": [ "History", "Forecast", "Preliminary" ] } } } } }