DepthFeed.

A market-data product has to do more than return a price. A researcher needs to discover a market, choose the right identifier, understand what has been captured and retrieve a usable history. The website, documentation and API have to explain the same contract.

DepthFeed brings prediction-market metadata and recorded order-book history into a product for discovery and research. Its documentation makes an important distinction: an endpoint returning successfully does not prove that the underlying data is complete.

The project separates serving APIs, collection and historical ingestion, the public website and account experience, and client examples. That separation lets the public explanation and the implementation evolve around defined interfaces.

The documented integration includes REST discovery and history, with normalized WebSocket books and prices. Account policy, identifiers, cursors and timestamps remain explicit so a client does not have to infer how the service works.

Venue labels and identifiers are not assumed to mean the same thing across sources. The documentation distinguishes a candidate relationship from confirmed contract equivalence, including states that still need review.

That is a product-design decision as well as an engineering one. A user needs to know what a record can support before building a comparison or analysis on top of it. Clear states are more useful than presenting uncertain information as settled.

The work connects an information model to a website, account controls, API documentation and integration examples. It illustrates why product development needs consistent language and state across the visible experience and the systems behind it.

The delivery lesson is to treat documentation and exception states as part of the product. An integration contract should explain missing coverage, identity and recovery rather than describing only a successful request.

DepthFeed's public product and integration documentation show how market records, an API and a research interface fit together. The links below provide the current product context and integration reference.

Coverage and availability vary by venue and market. A data integration starts by checking the required source, time range and access method against the current documentation.