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AI data analyst for large datasets and spreadsheets

Connects live business data to Google Sheets and Excel

Use one API key to access data APIs across finance, technology, places, text, and more.

An API for looking up and contributing ingredient, nutrition, and product details by barcode or search.

Query fresh analytical data through a distributed OLAP datastore with SQL and REST access paths.

Generate typed accessors for compact serialized data that applications can read directly from a buffer.

Serialize and deserialize Rust data structures through a shared data-model framework.

Retrieve current conditions, forecasts, history and location data through one weather-focused REST API.

Research international banking, liquidity and financial-market statistics

Combine historical prices, fundamentals and financial news in data projects

Define and validate data and configuration with a language that combines values and constraints.

Connect Shopify product and business data to maintained structured-data markup.

AI Context Engine that prepares unstructured enterprise data for AI agents

Build reusable visual workflows to prepare, analyze and chart business data.

Build self-hosted dashboards and reports on modeled business data, with server-based licensing.

Collect marketing and commerce data for dashboards, reports and analytical exports.

Analyze supplied data in a statistical spreadsheet and save the data, settings and results together.

Connect pricing, reference data and analytics to investment workflows

Explore SQL-connected data with charts, dashboards and a SQL workspace.

Crypto market and blockchain metrics with documented historical data methods

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

Build serverless GraphQL and real-time Pub/Sub APIs over multiple data sources.

Use desktop chart studies with explicit exchange-data options

Access market history through APIs, files or SQL