ikf-api-surface-minimizer

To design minimal API endpoints for analytics, return only the data strictly needed by the UI, such as ticker, horizon, and signal, while protecting sensitive forecast information from being over-fetched by the client.

Data minimization in API endpoint design ensures API responses contain only the data strictly needed by the client UI, preventing clients from over-fetching data or accessing sensitive internal prediction models and forecast metrics.

To secure forecast data when building heatmap API endpoints, enforce authentication, implement least-privilege access based on user roles, and return only minimal aggregated heatmap data instead of the entire underlying prediction model.

Yes, you can use aggregated endpoints for analytics to reduce data transfer and complexity, ensuring clients receive only necessary minimal fields like ticker, horizon, signal, and optional prediction scores.

Yes, this approach supports least-privilege access by implementing authentication and authorization to restrict API access based on user roles and organization, ensuring clients only receive necessary data.

You should not return the entire underlying prediction model to the client because it exposes sensitive forecast information, increasing security risks and data transfer complexity instead of returning minimal heatmap data.