dataset api cleaned data

If you’re looking for a Dataset API for cleaned data, the common pattern is:

1. Store cleaned data in a database / parquet / CSV / object storage.
2. Expose it through an API so apps can query it.
3. Optionally add filtering, pagination, and schema metadata.

Typical options

• REST API: /datasets, /datasets/{id}/rows
• GraphQL: flexible querying for dataset fields
• FastAPI / Flask: build your own lightweight data API
• Superset / Metabase / Airtable-like APIs: if you want no/low-code access

Example API design

GET /api/datasets/cleaned-sales
GET /api/datasets/cleaned-sales?limit=100&offset=0
GET /api/datasets/cleaned-sales?country=US

Example response

{
  "dataset": "cleaned-sales",
  "count": 2,
  "data": [
    {"id": 1, "name": "Alice", "amount": 120.5},
    {"id": 2, "name": "Bob", "amount": 98.0}
  ]
}

If you want to build one

A simple FastAPI example:

from fastapi import FastAPI

app = FastAPI()

cleaned_data = [
    {"id": 1, "name": "Alice", "amount": 120.5},
    {"id": 2, "name": "Bob", "amount": 98.0}
]

@app.get("/api/datasets/cleaned-sales")
def get_dataset():
    return {"count": len(cleaned_data), "data": cleaned_data}

If you want, I can help with any of these:

• design a dataset API
• build a FastAPI endpoint
• load cleaned CSV/JSON into an API
• connect the API to a database