21 Data Domains · API Catalog · Cross-Domain Intelligence
Methodology

How to read Agentic Data Source

Agentic Data Source starts with the source trail and then organizes data by the way customers actually use it: domain APIs, cross-domain intelligence, official feeds, datasets, trends, and exports. The goal is not to throw every endpoint at you. It is to move you from question to defensible data with less friction and better judgment.

Source order

Acquire, evaluate, validate, then serve

  • Official source cards stay visible so you can judge the trust trail yourself.
  • Domain API pages help you choose the correct data type before you commit to a feed.
  • Cross-domain API pages explain how multiple data lanes can work together.
  • Trend pages explain why a source lane matters, not just where it lives.
  • JSON exports exist for customers who want the machine-readable layer.
Moving counts

Why some numbers continue to move

  • The moving counts are a reading aid, not a claim that every provider updates every second.
  • The board uses a rolling pace between official refresh points so the signal layer stays readable.
  • Official source cadence still decides when the underlying picture truly changes.
Source

GitHub Platform API

A high-value feed for developer activity, repository metadata, release cadence, issue velocity, and open-source project monitoring.

Source

Hugging Face Hub API

A strong public source for model discovery, dataset discovery, benchmark monitoring, and watching the open-model market move in visible public time.

Source

SEC EDGAR API

A must-have public source for filing-aware customers who need reported facts, not commentary, when they are tracing technology companies and capital-market narratives.

Source

NASA Open API Stack

A discovery lane for space, imagery, astronomy, and earth-observation sources that help customers map scientific or visual data into products and research.

Source

World Bank Data API

A broad public data source for global development, country comparison, and structured indicators that customers can use well beyond fiscal research alone.