Data becomes useful to software when it arrives in one predictable shape, at a predictable time, with predictable errors. Most of the work in a data API is not the endpoint — it is everything that keeps the endpoint honest.
Possible data sources
15- Customer databases
- External APIs
- Public datasets
- Licensed datasets
- Web data where permitted
- Files
- CSV
- Excel
- JSON
- XML
- SQL databases
- NoSQL databases
- Cloud storage
- Internal business systems
- Third-party SaaS platforms
What we handle
A production data API needs far more than a query behind a route. A typical build includes:
- Ingestion and scheduled pipelines
- Schema mapping across sources
- Field standardization and units
- Deduplication and record matching
- Validation and data-quality checks
- Enrichment and derived fields
- Caching and incremental updates
- Historical storage and versioning
- Normalized error responses
- Usage tracking and rate limits
The result is one documented interface your applications, customers or partners can rely on, regardless of how many systems sit behind it.
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Discuss a Data API?
Tell us what the API should receive, what it should return and who will be calling it. We will come back with an approach, a scope and a price.