Hello #Cardano family 👋 Week 7 of building CAP (Cardano Analytics Platform) at @gimbalabs #pieceofpie #hackathon This week we focused on improving CAP’s operational tooling, federated analytics capabilities, and AI workflow reliability. https://t.co/ckpcQy6MqQ What we did: Backend & query layer: * Expanded federated SPARQL + SQL analytics capabilities * Added a federated result-processing layer for unified visualizations * Improved time-series and multi-series chart generation * Improved SQL/SPARQL result normalization for analytics workflows * Introduced a dedicated prompt-building layer to improve separation of concerns * Added automatic retries for transient LLM provider failures * Improved streaming response handling within the agentic workflow * Added infrastructure-aware handling for SPARQL rate limits and timeouts * Improved cache ingestion, pre-cache workflows, and similarity testing * Continued refining agentic orchestration, logging, and observability Admin & platform operations: * Added protection for admin-only data operation endpoints * Hardened backend controls around cache and raw data operations * Improved operational tooling for platform administration Frontend & UX: * Added a new Admin Data Console * Added interfaces for raw SPARQL execution, graph operations, and cache administration * Added dedicated Billing & Access pages * Improved separation between account settings and subscription management * Improved admin console feedback and usability * Refined navigation and sidebar layouts * Continued UI polish and bug fixing Why this matters: CAP is evolving into a complete Cardano intelligence platform, combining agentic AI, federated on-chain/off-chain analytics, production-grade administration tools, and blockchain-native access control. These improvements make the platform more reliable for end users while providing the operational capabilities needed to support a growing analytics service. Next week: * Continue improving federated analytics and visualization quality * Expand administrative tooling and observability * Improve billing and entitlement management * Refine agentic workflow reliability * Continue testing, optimization, and bug fixing Still building 🚀 No SQL. No setup. Just answers.