Market Data Hub
Deterministic financial data infrastructure
Reliable financial data services for digital products, with MCP tools for external AI agents.
Development practice: AI agents drove much of the implementation, followed by checks on calculations, APIs, and runtime behavior.
Proxy telemetry & quota overview
Unified Financial Data Platform
The context
Financial data, operations and agent access with clear architectural boundaries.
Financial products depend on stable, verifiable data. Market data, reference information, and indicators need a shared service with clear operational boundaries.
What we built
We built a unified data service with observability for quotas, caching, proxy requests, and plugin health. Core computation remains deterministic; MCP tools expose those capabilities to external agents.
One data entry point. Deterministic results.
Market and reference data serve multiple products through a unified API. Columnar transport and verifiable computations give downstream teams a dependable base.
- Unified market and reference data
- Columnar JSON and Arrow transport
- Verifiable time-series computation
Proxy telemetry & quota overview
Unified Financial Data Platform
Quotas, cache and proxy traffic in view
The console tracks quota consumption and remaining capacity. Cache-Aside reduces repeated upstream calls, while tracing shows request status, latency and cache behavior for diagnosis.
- Quota consumption monitoring
- Cache and request observability
- Proxy audit and tracing
Proxy tracing center
Requests, responses, latency and cache paths
A microkernel pipeline with MCP access
Authentication, caching, upstream execution, audit and tenant metering collaborate through plugins. Core data stays deterministic; MCP tools expose it to external AI agents.
- Observable plugin pipeline
- Separated runtime responsibilities
- MCP tools for external agents
Microkernel plugin center
Plugin topology and lifecycle