JSON
Stable schemas, stable IDs, ETags on every response. Drop it straight into your code.
Tidy Index delivers clean, well-organized datasets through a single API designed for humans, machines, and LLM agents alike.
Scraping. Reformatting. Reconciling. Re-scraping when the source changes shape. We do all of that — once, properly — so you don’t have to do any of it.
Ask for JSON, get JSON. Ask for chunks, get chunks. Same data underneath — no reformatting, no glue code.
Stable schemas, stable IDs, ETags on every response. Drop it straight into your code.
For the pipelines that have been around longer than your team has. Strict, well-formed, no surprises.
Already chunked, already cited, already embedding-ready. Drop them into your retriever and stop fighting tokenizers.
Webhooks and server-sent events the moment something changes. No polling, no stale caches.
People, programs, and agents all want different things from the same dataset. Tidy Index gives each of them what they expect.
A real web UI. Skim a schema, preview a few rows, grab a snapshot, and copy a working curl command without leaving the page.
Boring REST, the way you like it. OpenAPI specs, semver, ETags, idempotent reads, and rate limits we’ll actually tell you about.
Endpoints shaped like tool calls. Chunks shaped like context. Every response carries its own provenance, so the model never has to guess where the data came from.
A human looks at every dataset before it ships. We’d rather have ten that are right than ten thousand that are almost right.
Versioned endpoints, deprecation windows, and a changelog you can subscribe to. If something’s about to break, you’ll be the first to know.
Each row links back to where it came from. Your auditors will love it. Your models will stop making things up.
JSON, XML, CSV, or LLM chunks. Flip a header — same data, different shape.