Name: Cardano Analytics Platform (CAP)
Description:
CAP is an AI-powered analytics platform for Cardano that allows users to ask questions in natural language and receive grounded, explainable answers based on on-chain and off-chain data.
Instead of requiring users to build custom queries, data pipelines, or dashboards, CAP is designed to make Cardano intelligence easier to access for builders, SPOs, governance participants, researchers, service providers, institutions, and the wider community.
During the closed beta, participants will be able to test CAP, explore real Cardano data, try natural-language queries, create smart dashboards, and help us identify the insights, workflows, and edge cases that matter most to the ecosystem.
Website:
GitHub:
We are looking for Cardano beta users to test CAP and help shape the product
Reason:
We are opening a limited closed beta window and looking for early users who care about Cardano data, transparency, governance, analytics, research, tokens, pools, and ecosystem intelligence.
Your feedback will directly shape CAP’s product direction, including which questions it should answer, which dashboards are most useful, where explainability matters most, and which real-world workflows should be prioritized.
Project scope:
Beta participants will be invited to:
- Test natural-language Cardano analytics
- Explore grounded AI answers based on real Cardano data
- Create and evaluate smart dashboards
- Share feedback on useful workflows and missing insights
- Help identify edge cases, data quality issues, and ecosystem needs
The beta is especially relevant for:
- Cardano builders
- SPOs
- Governance participants
- Researchers
- Analysts
- Service providers
- Institutions
- Community members interested in Cardano ecosystem intelligence
Paid or voluntary:
Voluntary. Closed beta access is free for selected participants.
The closed beta window is now open and runs until July 18th.
Apply here:
We would love to hear from the Cardano community and learn what kind of analytics, dashboards, and AI-powered insights would be most useful for the ecosystem.