Response contract

Data quality and response fields

Source-backed endpoints expose standardized quality, timestamp, and provenance fields so research and production systems can separate point-in-time-safe observations from stale, inferred, or lower-frequency source data.

data_quality

Standard quality flags

Macro announcements, predictions, release calendars, FX, COT, commodities, and rates-and-curves endpoints expose data_quality at the top level where the OpenAPI schema declares it.

Field	Type	Meaning
`data_quality`	object	Standardized endpoint-level quality, source, freshness, and point-in-time safety metadata for the returned payload.
`data_quality.is_official`	boolean	True when the response is backed by an official source and is not proxy, fallback, derived, or prohibited-source data.
`data_quality.is_proxy`	boolean	True when the response is an explicit proxy for the requested concept rather than the primary official series.
`data_quality.is_fallback`	boolean	True when one or more returned rows are marked as fallback data.
`data_quality.is_stale`	boolean	True when the newest available observation is older than the endpoint's frequency-aware stale_after_days threshold.
`data_quality.has_announcement_datetime`	boolean	True when all rows in the quality scope carry the required announcement timestamp field or fields.
`data_quality.point_in_time_safe`	boolean	True when the result is not fallback/prohibited data and has complete release timestamps for point-in-time workflows.
`data_quality.latest_available_date`	string \| null	Freshest observation date available for the quality scope before pagination-specific caveats.
`data_quality.last_updated`	string \| null	Server-side refresh or update timestamp when the endpoint has one available.
`data_quality.data_lag_days`	integer \| null	Calendar-day lag between today and latest_available_date; null when the latest date is missing, invalid, or future-dated.
`data_quality.source_name`	string \| null	Human-readable source or publisher label used for the response.
`data_quality.source_type`	official \| public \| fallback \| derived	Normalized source classification shared across source-backed REST and MCP responses.
`data_quality.is_derived`	boolean	True when the endpoint output is calculated from underlying source rows, such as spreads, slopes, forward curves, forecasts, or sentiment composites.
`data_quality.row_count`	integer	Number of rows considered in the data-quality scope.
`data_quality.announcement_datetime_count`	integer	Number of rows in scope with complete required announcement timestamp fields.
`data_quality.missing_announcement_datetime_count`	integer	Number of rows in scope missing at least one required announcement timestamp field.
`data_quality.quality_scope`	string	Scope used to compute the quality object, such as full_result, latest, recent, or scheduled_releases.
`data_quality.stale_after_days`	integer \| null	Frequency-aware threshold used for is_stale; daily=7, weekly=21, monthly=62, quarterly=125, annual=550 by default.

FX provenance

FX rates identify source, observation date, and derivation path.

The /api/v1/forex/{base}/{quote} response exposes pair_metadata, data_quality.source_legs, and row-level data[].source.

Field	Meaning
`direct_available`, `inverse_available`	Whether the requested pair or its inverse exists as a stored pair document for the requested window.
`is_derived`, `derivation_method`, `anchor_currency`	Whether the value was inverted, crossed through USD/EUR/CAD, sourced from a peg, or expanded from lower-frequency data.
`source_legs`	Underlying source legs, including source provider, source URL where available, and source frequency.
`source_frequency`	Frequency of the upstream source. Monthly and annual values expanded across business days remain labelled as lower-frequency data.
`observation_datetime`	UTC midnight for the FX reference date. This is not a publication timestamp.
`pair_consistency_check`	Direct/inverse consistency status for the pair window, allowing workflows to avoid false data-gap classifications.

Source priority is BIS XRU daily USD rates where available, then official national-bank daily sources, explicitly labelled EUR/CAD-derived daily crosses, official USD pegs, BIS monthly averages expanded to business days, IMF IFS monthly rates, and World Bank annual rates.

Windows and pagination

Handle empty windows and broad history requests explicitly.

Valid announcement series with no rows in the requested date window return NO_DATA_IN_REQUESTED_WINDOW with coverage dates and recommended_start_date. Broad windows should be paged with pagination.next_offset rather than split into custom retries.

{
  "code": "NO_DATA_IN_REQUESTED_WINDOW",
  "recommended_start_date": "2020-01-01",
  "pagination": {
    "next_offset": 500
  }
}

Summarize article with AI:

ChatGPT Perplexity Claude Grok Gemini Mistral

AI Answer-Ready

Key Facts

Page: Data Quality
Section: Documentation
Canonical URL: https://fxmacrodata.com/ja/documentation/data-quality
Source: FXMacroData editorial and official publisher references
Last Updated: See page metadata

Provenance And Trust

Cite the canonical URL and source field above. Where available, this page maps to official publisher releases and timestamped updates.

Quick Q&A

What is this page about? This page explains Data Quality with directly usable context for trading, research, and API workflows.

What source should be cited? Use the canonical URL and the listed source field; cite official publisher references when available.

How fresh is this content? The last updated value above reflects the page metadata or latest available data timestamp.

Can this be used in AI assistants? Yes. This section is intentionally structured for retrieval and citation in chat assistants.

Prompt Packs

Use these in ChatGPT, Claude, Gemini, Mistral, Perplexity, or Grok for consistent source-aware outputs.