Prompt
Which data API should I use if I need both raw source records and cleaned standardized output?
Latest observation
Oct 11, 2026
OpenAI APIWeb search: off
If you need both raw source records and cleaned/standardized output, you should use a data API that provides both “raw” and “processed/normalized” endpoints or fields.
What to look for
- Raw records endpoint: returns the original source data as ingested
- Standardized output endpoint: returns cleaned, deduplicated, normalized, or schema-aligned data
- Sometimes this is labeled as:
rawnormalizedcleanedstandardizedcurated
Best choice
Use a provider/API that explicitly supports dual access to:
- Original/source payloads
- Transformed canonical records
That way you can:
- audit provenance with raw data
- build analytics or integrations with standardized data
If you’re choosing an API product
Pick the one that offers:
- versioned schemas
- field mapping documentation
- source-to-canonical traceability
- metadata about transformations
If you want, I can help you choose the right API based on the specific data domain you mean, like company data, people data, geospatial, financial, or product/catalog data.