Apps & APIs
Pegasus Ops Analytics API & Executive Dashboard
Operational analytics layer that turns KPIs, trends, alerts, and export-ready outputs into a reusable FastAPI backend and an executive-friendly dashboard experience.
Ops analytics command view
Pegasus Ops Analytics API
Endpoint-driven KPIs, trends, alerts, exports, and executive dashboard delivery
KPIs
18
tracked metrics
Endpoints
11
analytics routes
Exports
CSV/XLSX
download formats
Cache TTL
Ready
response layer
System flow
Data
API
Logic
UI
Export
Operational mix
| Endpoint | Payload | Purpose |
|---|---|---|
| /kpis/summary | cards | Executive KPIs |
| /trends/overview | series | Trend views |
| /alerts/exceptions | table | Operational review |
| /exports/report | csv/xlsx | Download output |
Business problem
Operational metrics were valuable, but they were often trapped inside one-off reports, spreadsheets, or disconnected monitoring views. That made it harder to reuse the same analytics logic across teams, dashboards, exports, and leadership reporting.
The challenge was to build a cleaner backend layer that could expose business-ready analytics through endpoints, support dashboard consumption, and make exports and operational follow-up easier without reinventing the reporting logic every time.
System built
Built a FastAPI-powered operational analytics layer with parameterized endpoints, reusable metric logic, response structures for charts and KPI cards, export-ready outputs, and a dashboard interface for executive monitoring.
The result is a system that can serve as both an API product and a dashboard foundation: one backend that powers KPI summaries, trend views, alerts, exception reporting, and file delivery in a repeatable way.
Operational signals
Signals reviewed
The API is designed to expose the signals that matter most for monitoring, reporting, and fast operational review.
Delivery flow
How it works
Source
Pull operational data and KPI inputs from structured backend sources.
The API layer begins with the reporting entities, metrics, and business rules that power executive monitoring and downstream dashboard views.
Compute
Apply parameterized analytics logic for summary cards, trend outputs, and exception reporting.
Instead of relying on static reports, the system calculates reusable metrics through endpoint-driven logic that can answer multiple operational questions.
Package
Return clean response objects shaped for dashboards, exports, and repeatable frontend consumption.
The response layer structures analytics results so the same backend logic can power cards, charts, tables, and file exports.
Visualize
Render executive-friendly dashboard views for trends, KPIs, alerts, and operational snapshots.
The frontend presents the API outputs through concise monitoring views that help leadership and operators scan what matters quickly.
Deliver
Support CSV/XLSX exports and operational reporting outputs for follow-up action.
The final layer makes the analytics usable beyond the screen by enabling exports, sharing, and follow-on operational workflows.
System layers
What the platform delivers
KPI layer
Reusable summary metrics for operational and executive consumption.
Trend layer
Structured series outputs for period views, movement analysis, and monitoring.
Alert layer
Exception and alert reporting that helps surface where attention is needed.
Dashboard layer
Frontend views that translate endpoint outputs into executive-friendly monitoring.
Impact signals
What this enabled
KPI summary and trend endpoints for reusable analytics delivery
Alert and exception reporting that surfaces operational attention areas
CSV/XLSX export support for downstream review and execution
Dashboard views that make API outputs easier to consume
Parameterized design that scales beyond a one-off report
Use cases
Use cases supported
Executive KPI monitoring
Supports quick scanning of high-level metrics, trends, and operational health without opening multiple disconnected reports.
Operational exception review
Highlights alert conditions and unusual patterns so teams can focus on where action is needed first.
Export-ready reporting
Enables users to pull structured CSV/XLSX outputs for additional review, follow-up, and stakeholder distribution.
Reusable frontend integration
Creates a clean backend layer that can serve dashboards, widgets, and future app experiences from the same core analytics logic.
Why this system matters
A reusable analytics layer that makes monitoring easier to scale.
Pegasus Ops Analytics API is more than a dashboard page. It represents a reusable analytics delivery layer: a backend that can power KPI monitoring, trend analysis, alerting, executive views, and export workflows from one coordinated system.
That makes the analytics more maintainable for developers and more accessible for the people using the outputs to monitor operations and make decisions.
Confidentiality note
Visuals and descriptions are sanitized conceptual representations. They do not expose private company data, customer records, credentials, raw exports, internal pricing, operational screenshots, or proprietary source files.