Research topics from JSON

Upload a flat JSON array. ddigger publishes instructions, schema, and a filterable /data API for AI agents. The example below filters research rows by year.

Separate live source: World Bank countries

From JSON to matching topics

The Research topic index example starts with a non-empty array of objects. Every row has the same fields.

JSON input

[{"id":"A1","topic":"Climate","year":2024},{"id":"B2","topic":"Energy","year":2023},{"id":"C3","topic":"Health","year":2025}]

Focused request

GET /data?fields=id,topic&where=year:gte:2024&limit=10

Matching rows

Selected ID and topic fields
id	topic
A1	Climate
C3	Health

A1 and C3 match the year filter.

Explore this research example Preview your JSON file

The preloaded example uses the same rows. Upload your own JSON file to test import.

Use your own JSON file

Upload a non-empty array of flat row objects with the same fields in every row. Cells can contain text, numbers, booleans, or null. Nested objects and arrays are not supported. Review inferred fields before publishing. Preview does not require sign-in; publishing requires an account.

Republish changed rows to update the latest URL. The published API is read-only and does not edit the uploaded file.

Published source

Your publication serves /llms.txt instructions, an /openapi.json schema, focused /data queries, and a generated human page. A pinned /v/{version} URL retains an exact version. For live endpoint responses, inspect this separate country source: instructions, schema, and data.