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Access market history through APIs, files or SQL

Lyon's metropolitan data catalogue and reuse guidance

Explore defined Bitcoin metrics and download the underlying chart data

Build and share visual reports connected to spreadsheets, marketing data and databases.

Collect customer events and supply consistent data to analytical and business destinations.

Prepare connected marketing data for warehouse reports and AI analysis.

Convert and transform structured data with visible intermediate steps

Serialize structured data with schemas and compact binary encoding across supported programming languages.

Request market prices and company data through a developer API

A reactive Python notebook editor that saves notebooks as ordinary Python files.

Select market datasets by instrument, interval and observation type

Collect, harmonize and monitor marketing data before it reaches reporting systems.

Explore warehouse data in workbooks and build analytical applications around it.

Connect, transform and store business data before sharing dashboards and reports.

AI review analytics and marketplace data for sellers and brands

A distributed SQL engine for real-time analytics, data warehousing, and search workloads.

Jupyter-native AI agent that writes, runs, and debugs Python in notebooks.

Compare exchange activity and blockchain metrics with explicit data-access limits

AI data agent that works with your own SQL inside your editor

AI spreadsheet that connects to databases and apps, answers questions in plain English, and builds charts and models.

Define JavaScript and TypeScript schemas that validate data and infer its types.

Compare Ethereum ecosystem usage and reuse openly licensed metric data

Insert a transform-and-routing layer between telemetry sources and observability or security destinations.

Filter, transform, sample, and route telemetry before it reaches storage or an observability backend.