React Dashboard Query API — Hosted Metrics for Tenant Experiment Attribution

When querying a hosted metrics API from a React dashboard, ensure a stable tenant-cohort identifier, bounded time range, and attributable ingestion and retention costs are in place before proceeding. Establish a Node.js boundary between the React frontend and the provider, returning a consistent response contract for cards and charts. Reject unbounded queries to avoid ambiguity in cohort membership and uncontrolled label cardinality.

The query endpoint must be convenient but not compromise on ambiguity or lack of control. For a B2B SaaS admin panel, the operational decision rule is clear: if finance cannot map the experiment's telemetry volume to a cohort, or an on-call engineer cannot explain the card's denominator, the integration is not ready. Evaluate the data model before selecting the query API to protect against allocation errors and capacity growth that the demo may hide.

When presenting metrics like "successful exports," consider the conditional nature of the query: successful exports for a specific experiment variant, tenant cohort, time interval, and definition of success. Time series data adds another layer, requiring aggregation. However, if cohort membership changes during the experiment, joining historical samples to the current assignment at read time can silently alter past data.

To address this, join current account metadata at read time to maintain an immutable assignment record that the query layer can use for event-time joins. This trade-off involves choosing between simpler reads with added labels versus limiting metric dimensions while maintaining a trustworthy temporal join. Keep the label design bounded, using dimensions like experiment, variant, cohort, region, and result, while preserving raw tenant identity in an assignment ledger or exemplars only when privacy policies allow.

Before choosing a query API, define the query boundary by creating a worksheet enumerating each bounded dimension, multiplying the possible values, and incorporating replica and environment dimensions. Compare the upper bound with the provider's documented limits and billing dimensions to ensure a feasible choice. Avoid sending a provider query language from the browser; instead, ask the Node.js backend for a product-level answer.

The backend should handle authentication, authorization, cohort definitions, maximum range, step selection, retries, and translate provider responses into a stable contract. Keep the contract narrow, accepting a known experiment, cohort, metric key, start, end, and requested resolution, and derive the provider expression on the server.

Return timestamps, nullable values, units, and freshness. Remember that a missing point is not zero; null indicates the system lacks a value for that bucket.

Implement validation logic in your Node.js service to enforce these invariants before calling the adapter. Use Go or similar language to enforce the same validation rules. The provided Go code example demonstrates a Request struct and a Validate method that checks for required fields, valid time ranges, and acceptable step durations, allowing you to set policy inputs from the admin panel.