Cost Breakdown

The Cost Breakdown view provides granular analysis of your AI spending, allowing you to explore costs across multiple dimensions. Filter, group, and analyze your spending data to understand exactly what’s driving your AI costs.

Overview

Cost Breakdown gives you powerful tools to analyze spending from different angles:

Multi-dimensional filtering - Filter by date ranges, models, providers, environments, features, and custom metadata
Flexible grouping - Group costs by any dimension to see spending patterns
Interactive visualizations - Charts and graphs that respond to your filters
Exportable data - Download detailed breakdowns for further analysis
Comparative analysis - Compare spending across different time periods or dimensions

Cost Breakdown Interface - A screenshot showing the cost breakdown view with filters, grouping options, charts, and detailed table view

Image Placeholder: This should show the cost breakdown interface with:

Filter panel on the left (date range, models, providers, environments, features)
Grouping selector dropdown
Main visualization area (chart)
Detailed table below the chart
Export button
Time period selector

Filtering Options

Apply powerful filters to focus your analysis:

Date Range Filtering

Select specific time periods:

Preset ranges - Last 7 days, Last 30 days, Last 90 days, This month, Last month
Custom range - Pick any start and end date
Comparison mode - Compare current period with previous period

Model Filtering

Filter by specific AI models:

Single model - Focus on one model (e.g., GPT-4)
Multiple models - Compare costs across selected models
Model families - Filter by model family (e.g., all GPT-4 variants)

Provider Filtering

Filter by AI provider:

Single provider - Analyze costs for one provider
Multiple providers - Compare costs across providers
All providers - View aggregate costs across all providers

Environment Filtering

Separate costs by environment:

Production - Production environment spending
Staging - Staging environment costs
Development - Development and testing costs
Multiple environments - Compare across environments

Feature Filtering

Focus on specific product features:

Single feature - Analyze costs for one feature
Multiple features - Compare feature-level spending
Feature groups - Analyze related features together

Custom Metadata Filtering

Filter by any custom metadata you’ve attached to transactions:

User segments - Filter by user type or segment
Project tags - Filter by project or team tags
Custom fields - Filter by any custom metadata fields

Combine multiple filters to create highly specific views. For example, filter by “Production environment” + “GPT-4 model” + “Last 30 days” to see production GPT-4 costs for the past month.

Grouping and Aggregation

Group your cost data by different dimensions to see spending patterns:

Grouping Options

By Time

Group by hour, day, week, or month to see temporal spending patterns.

By Provider

Group by AI provider to see provider-level spending distribution.

By Model

Group by model to compare costs across different AI models.

By Feature

Group by feature to understand feature-level cost allocation.

By Environment

Group by environment to separate production, staging, and development costs.

By User

Group by user or user segment to see per-user spending patterns.

Multi-Level Grouping

Combine multiple grouping dimensions for deeper analysis:

Time + Provider - See how spending by provider changes over time
Feature + Model - Understand which models are used for each feature
Environment + Provider - Compare provider usage across environments
Any combination - Create custom grouping combinations

Multi-Level Grouping Example - A screenshot showing a breakdown grouped by feature and model, with nested visualization and drill-down capability

Image Placeholder: This should show a multi-level grouped breakdown with:

Primary grouping by feature (rows)
Secondary grouping by model (columns or nested)
Cost amounts in cells
Ability to expand/collapse groups
Total row and column
Interactive drill-down capability

Visualization Types

Choose from different visualization types based on your analysis needs:

Charts

Bar Charts

Compare costs across categories. Perfect for comparing providers, models, or features.

Line Charts

Show trends over time. Ideal for understanding spending patterns and forecasting.

Pie/Donut Charts

Show proportional breakdowns. Great for understanding distribution of spending.

Stacked Charts

Show composition and totals. Useful for seeing both individual and aggregate costs.

Tables

Detailed table views provide:

Sortable columns - Click column headers to sort
Expandable rows - Drill down into details
Column customization - Show or hide columns
Export capability - Download table data as CSV

Cost Breakdown Table - A screenshot showing a detailed table with costs grouped by feature, showing columns for feature name, total cost, percentage, transaction count, and trend

Image Placeholder: This should show a detailed table with:

Feature name column
Total cost column (sortable)
Percentage of total column
Transaction count column
Trend indicator (up/down arrow)
Expandable rows for drill-down
Export button
Pagination controls

Detailed Analysis

Cost Composition

Understand what makes up your total costs:

Provider breakdown - See which providers contribute most to spending
Model breakdown - Understand model-level cost distribution
Feature breakdown - Identify which features drive costs
Time breakdown - See how costs are distributed over time

Cost Trends

Analyze spending trends:

Growth patterns - Identify increasing or decreasing cost trends
Seasonal patterns - Detect recurring patterns (daily, weekly, monthly)
Anomalies - Spot unusual spikes or drops in spending
Forecasting - Use historical trends to predict future costs

Comparative Analysis

Compare costs across different dimensions:

Period comparison - Compare current period with previous period
Provider comparison - Compare costs across different providers
Model comparison - Compare efficiency and costs of different models
Feature comparison - Compare feature-level spending

Comparative Analysis View - A screenshot showing a side-by-side comparison of costs across two time periods with percentage change indicators

Image Placeholder: This should show a comparison view with:

Side-by-side columns for two time periods
Cost amounts for each period
Percentage change indicators (green for decrease, red for increase)
Visual comparison bars
Summary statistics showing total change

Export Options

Download your cost breakdown data:

CSV export - Raw data for spreadsheet analysis
PDF export - Formatted report with charts and visualizations
JSON export - Structured data for programmatic processing

Shareable links - Generate links to specific breakdown views
Embedded reports - Embed breakdown views in other tools
Scheduled exports - Automate regular exports of breakdown data

Exported data includes all applied filters and grouping settings, so you can recreate the exact view later or share it with team members.

Use Cases

Budget Planning

Use breakdowns to understand cost drivers and plan budgets for different features or teams.

Cost Optimization

Identify high-cost areas that might benefit from optimization or alternative approaches.

Provider Selection

Compare costs across providers to make informed decisions about provider selection.

Feature ROI Analysis

Analyze feature-level costs to understand ROI and prioritize feature development.

Anomaly Investigation

Drill down into cost spikes or anomalies to understand root causes.

Team Allocation

Allocate costs to different teams or projects for internal billing or budgeting.

Best Practices

Start Broad, Then Narrow

Begin with a high-level view, then apply filters to drill down into specific areas of interest.

Use Multiple Groupings

Try different grouping combinations to discover insights you might not see with a single view.

Compare Periods

Use comparison mode to understand how costs are changing over time.

Export for Analysis

Export detailed data to spreadsheet tools for deeper analysis or custom visualizations.

Save Common Views

Save frequently used breakdown configurations for quick access.

Pro tip: Create saved breakdown views for common analysis needs (e.g., “Monthly Production Costs” or “Feature-Level Spending”). This saves time and ensures consistency.

Activity View - See transaction-level details
Dashboard - High-level overview of spending
Reports - Generate detailed reports from breakdown data
Alerts - Set up alerts based on breakdown insights

Getting started

Guides

Overview

Filtering Options