Query 404 public data endpoints across SEC EDGAR, FRED, NOAA, EPA, and USGS with ML-enriched results. Built for developers who need financial, economic, weather, and environmental data in a single unified API.
com.publicdataoracle/api
https://www.publicdataoracle.com/api/v1/data/query
HTTP
No auth required
How models use it and what it is built for.
Query 404 public data endpoints across SEC EDGAR, FRED, NOAA, EPA, and USGS with ML-enriched results. Built for developers who need financial, economic, weather, and environmental data in a single unified API.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for PublicData Oracle.
Paste any of these into Agent Studio after connecting PublicData Oracle.
Common questions about connecting and running PublicData Oracle.
What data sources does this MCP server cover?
It integrates 404 endpoints across SEC EDGAR (financial filings), FRED (Federal Reserve economic data), NOAA (weather and climate), EPA (environmental), and USGS (geological and water resources). All data is public and ML-enriched for easier querying.
How do I authenticate with the Public Data Oracle API?
Check the hosted endpoint documentation at https://www.publicdataoracle.com/api/v1/data/query for authentication details. The MCP server uses HTTP transport, so credentials are typically passed via headers or query parameters as documented in the API reference.
Is there a rate limit or cost to use this API?
The registry does not specify pricing or rate limits. Visit the Public Data Oracle website or API documentation for current terms, usage tiers, and any cost information.
Can I query multiple data sources in a single request?
The API supports 404 endpoints across five major sources. Whether you can combine queries across sources in one call depends on the specific endpoint design—consult the API schema and documentation for multi-source query patterns.
What does 'ML enrichment' mean for this API?
The registry indicates results are ML-enriched, likely meaning the API applies machine learning to enhance, contextualize, or correlate raw public data. Specific enrichment techniques should be detailed in the API documentation.
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