FRED + Datagrid Integration

Overview

What is FRED: FRED is a cloud-based economic database maintained by the Federal Reserve Bank of St. Louis. It aggregates U.S. and international time series covering CPI, GDP, unemployment rates, federal funds rates, Treasury yields, money supply, mortgage rates, housing starts, and many additional indicators.

Datagrid connects to FRED through the FRED REST API, pulling series observations, release metadata, category hierarchies, and tag structures into Datagrid. Datagrid then processes, joins, and routes this economic data alongside internal business data without manual intervention.

Data flows from FRED into Datagrid on a scheduled or trigger-based cadence. Datagrid ingests time series observations, series metadata (frequency, units, seasonal adjustment), release dates, and category structures. Agents can detect newly updated series via the FRED updates endpoint, apply server-side transformations such as percent change and compounded annual rate, and deliver formatted outputs to dashboards, reports, or downstream systems. These workflows are for permitted orchestration, transformation, and routing use cases subject to FRED terms of use.

How to integrate FRED with Datagrid

This integration gives Datagrid access to FRED data for scheduled ingestion, transformation, and routing. Operators running recurring reporting or monitoring workflows configure the integration, authenticate with an API key, and define which FRED objects Datagrid should sync.

Configure the integration

1. Log in to your Datagrid account and go to Settings > Connectors > Add New.

2. Search for FRED in the integration catalog and select it.

3. Enter your FRED API key (see authentication below).

4. Select the series, categories, or releases you want to sync.

5. Configure your sync schedule. Choose a polling interval or set a trigger event.

6. Click Save and run your first sync.

Authenticate the API connection

FRED uses API key authentication. Each request passes a 32-character lowercase alphanumeric key as a query parameter.

• Register for a free API key at fredaccount.stlouisfed.org.

• Manage existing keys at the FRED API key management portal.

• Each application requires its own distinct API key per the FRED API key policy.

No OAuth flow is required. Paste your key into the Datagrid integration configuration, and Datagrid handles key transmission on every API call.

Define the sync scope

Datagrid syncs several FRED data objects and treats FRED as a read-only source. The table below summarizes the objects and fields available through the integration.

Data objects synced:

• Series — Economic data series metadata, id, title, frequency, units, seasonal_adjustment, last_updated, popularity

• Observations — Time series data values, date, value, realtime_start, realtime_end

• Categories — Hierarchical topic groupings, id, name, parent_id

• Releases — Data publication events, id, name, press_release, link

• Sources — Data-originating institutions, id, name, link

• Tags — Cross-cutting labels (geography, frequency, source), name, group_id, series_count, popularity

Sync direction: One-way (FRED → Datagrid). FRED is a read-only data source.

Sync frequency: Configurable. Set a recurring schedule (hourly, daily, weekly) or trigger syncs based on events. Datagrid polls the fred/series/updates endpoint to detect newly published or revised observations, so agents only process changed data on each run.

Supported response formats: XML (default), JSON, XLSX, and CSV from the API. XLSX and CSV are available on the observations endpoint only.

For setup instructions and integration configuration details, use the Datagrid documentation linked above.

Why use FRED with Datagrid

Teams use this integration when economic context needs to flow into operating workflows without manual refresh work. Datagrid pulls FRED data on schedule, joins it with internal records, and routes updated outputs where teams already work.

• Automated economic data ingestion: Datagrid workflows pull FRED time series on a schedule, with no manual CSV downloads or spreadsheet formatting required.

• Cross-source data joins: Datagrid combines FRED macro indicators (CPI, GDP, unemployment) with internal business data such as project management tools, ERPs, and databases.

• Intelligent release monitoring: Because FRED offers no webhooks, Datagrid's scheduled polling agents watch the fred/series/updates endpoint and trigger downstream workflows only when new data appears.

• Server-side transformations at sync time: Datagrid passes FRED's units parameter to request percent change, compounded annual rate, or year-over-year comparisons directly from the API, reducing post-processing steps.

• Bulk hierarchy traversal: Agents walk the FRED Source → Release → Series → Observation hierarchy automatically, ingesting entire thematic data families (for example, labor market releases) without requiring teams to specify individual series IDs.

• Vintage and revision tracking: Datagrid connects to FRED's ALFRED database through realtime_start and realtime_end parameters, giving teams point-in-time economic data for backtesting and audit trails.

• Terms-aware automation: Datagrid uses FRED for permitted workflow orchestration, transformation, and routing. The resources section links to FRED's Terms of Use for current restrictions, including AI/ML training limits.

This structure gives operators a reliable way to keep macro data current inside business workflows.

What you can build with FRED and Datagrid

Datagrid can use FRED data in recurring reporting, monitoring, and audit workflows. These examples show how teams can connect macroeconomic series to internal operating data.

• Automated macroeconomic dashboard pipeline: Configure Datagrid agents to pull GDP (quarterly), unemployment rate (monthly), and federal funds rate (daily) on their native publication cadences. Agents normalize multi-frequency data into a unified dataset and push it to a live dashboard, replacing manual refresh cycles. Teams get up-to-date macro snapshots delivered automatically each time FRED publishes new observations.

• Economic context layer for project financial data: Join FRED's 30-year mortgage rate (MORTGAGE30US), housing starts (HOUST), and regional unemployment series with internal project cost data. Agents flag when macroeconomic shifts, such as rising interest rates or declining housing starts, intersect with active project budgets, giving operators early warning on cost exposure.

• Inflation-adjusted reporting automation: Agents pull CPI observations (CPIAUCSL) from FRED, apply the percent-change-from-year-ago transformation (pc1) at the API level, and cross-reference the output with internal revenue or procurement data. The result is an inflation-adjusted reporting layer that updates each month when BLS publishes new CPI data, with no analyst intervention needed.

• Data revision audit trail for financial models: Using FRED's vintage dates endpoint (fred/series/vintagedates), Datagrid agents track every revision to key series like GDP or unemployment. Agents compare original releases against subsequent revisions and flag material changes. Quantitative teams use this audit trail to validate that forecasting models were trained on data that was actually available at each historical decision point, preventing look-ahead bias.

These workflows keep economic data tied to operational decisions instead of isolated in separate reports.

Resources and documentation

Use these resources to configure the integration and understand FRED API behavior, authentication, data retrieval, and usage constraints.

• Datagrid FRED connector page - setup instructions and connector configuration for FRED on Datagrid

• FRED REST API - complete endpoint reference, request parameters, and response schemas

• FRED API key management portal - how to obtain and manage your API key

• FRED series observations endpoint - detailed documentation for the primary data retrieval endpoint, including unit transformations and output types

• FRED real-time periods documentation - explains how realtime_start/realtime_end parameters control data vintage retrieval

• FRED Terms of Use - current terms, including the June 2024 updates on data usage restrictions

• What is FRED? — FRED Help Portal - official overview of the FRED platform and its data sources

Frequently asked questions

How do I get a FRED API key for the Datagrid connector?

Register for a free account at fredaccount.stlouisfed.org, then generate a key from the API key management page. The key is a 32-character lowercase alphanumeric string. Per the FRED API key documentation, each application requires a distinct key. Paste this key into the Datagrid FRED integration configuration during setup.

What FRED data objects does Datagrid sync?

Datagrid ingests series metadata, observation values, categories, releases, sources, and tags through the FRED REST API. The primary data payload comes from the fred/series/observations endpoint, which returns date-value pairs for FRED time series. Sync is one-way, from FRED into Datagrid.

Can Datagrid retrieve historical vintage data from FRED (ALFRED)?

Yes. The FRED API supports realtime_start and realtime_end parameters on most endpoints, which connect to the ALFRED archival database. The fred/series/vintagedates endpoint returns all dates when a series was revised. Datagrid agents use these parameters to retrieve economic data as it existed on a specific historical date, which is critical for backtesting and audit workflows.

How does Datagrid detect new FRED data releases without webhooks?

FRED does not offer webhooks or push notifications. Datagrid uses scheduled polling against the fred/series/updates endpoint, which returns series sorted by their last update time. The endpoint supports start_time and end_time filtering (format: YYYYMMDDHHmm), so agents only process observations updated since the last successful sync run.

Are there usage restrictions on FRED data I should know about?

Yes. The FRED Terms of Use were updated in June 2024 with specific restrictions on data caching, archiving, and use in AI/ML training contexts. Datagrid workflow automation for FRED should be understood as orchestration, transformation, and routing subject to those terms, not as permission to use FRED data for AI/ML model training. Any application using the FRED API must display the attribution: "This product uses the FRED® API but is not endorsed or certified by the Federal Reserve Bank of St. Louis." Certain copyrighted series (ICE Libor, LBMA Gold/Silver prices) are not redistributable via the API.