Cost Analysis

The Project Cost analysis breaks down API spend for a single project: real (billed) cost vs subscription-served (shadow) value, token usage patterns, and which sessions drove the most cost.

​

Shadow / Billed cost

The hero card shows five metrics with sparklines and week-over-week deltas:

​

Daily activity honeycombs

Three 30-day honeycomb grids (cell intensity = value). Each has a weekends toggle:

• Requests: daily request count
• Input / Output tokens: toggle between input and output token counts
• Cache-read / Cache-creation tokens: toggle between read and creation; footer shows cache hit %

​

Cost summary

Four aggregate stats: API calls, average real spend per session, average subscription value per session, and cache-read token total.

​

Daily cost chart

Two-way bar chart showing billed cost (up) vs shadow value (down) per day. Makes it easy to see the ratio of API spend to subscription benefit over time.

​

Cost over time

Stacked area chart of daily billed + shadow cost across the analysis window.

​

Cost per session

Grouped bar chart showing average, p50, p90, and p99 cost per session, both billed and shadow. Useful for spotting outlier sessions that are pulling the average up.

​

By model

Stacked bar chart broken down by model. Metric toggle: Cost, Tokens, Cache, Requests, Cache hit %.

​

Top billed sessions / Top shadow sessions

Two ranked lists of up to 10 sessions each: the sessions with the highest real spend and the highest shadow value respectively.

​

Tool metrics

Table of tools with call count, error count, error rate, and speed metrics. Useful for identifying expensive or slow tool patterns driving cost.