📊Provider Dashboard
Comprehensive cost analytics and workspace management for AI provider spending for OpenAI & Anthropic (and other providers in the future).
The Provider Dashboard gives teams complete visibility into AI spending across all providers, workspaces, API keys, and models. Track costs in real-time, identify efficiency opportunities, and manage workspace configurations—all from a unified interface designed for both technical and financial stakeholders.
Unlike the AI Analytics module (which is based on data captured by our middleware integrations and focused on transaction-level analysis across all providers), the Provider Dashboard is purpose-built for provider-specific cost tracking and workspace management using data automatically synced from your AI provider accounts.
The data here will help you see what percentage of spending is currently captured via Revenium's middleware integrations and what percentage is coming from other sources.
How It Works
The Provider Dashboard automatically syncs billing and usage data directly from your AI provider accounts (OpenAI & Anthropic currently) to provide accurate, provider-native cost tracking.
Data Synchronization
Connect Provider Accounts: Link your AI provider accounts via the "Manage AI Accounts" button
Automatic Sync: Revenium syncs workspace, API key, and usage data from provider billing systems
Real-Time Updates: Data refreshes automatically, with manual refresh available
Historical Tracking: Compare current period costs against previous periods to identify trends
Core Capabilities
Multi-Provider Visibility: Track spending across OpenAI & Anthropic in one place (with more providers on the way in the future)
Workspace-Level Analytics: Monitor costs by provider workspace or project
API Key Tracking: Analyze spending and efficiency by individual API keys
Model Efficiency: Compare cost-per-token across models to optimize model selection
Workspace Management: Rename workspaces, view metadata, and track usage history
Trend Analysis: Period-over-period comparisons with percentage change indicators
Cost Filtering: Filter by cost ranges, search by name, and export data to CSV
Dashboard Tabs
The Provider Dashboard is organized into four specialized views:
1. Workspaces
Monitor AI spending organized by provider workspaces (OpenAI projects, Anthropic workspaces, etc.).
Summary Metrics:
Total Cost across all workspaces
Active Workspace count
Per-Provider cost breakdowns (i.e. Anthropic vs. OpenAI)
Visualizations:
Cost Distribution by Provider: Pie chart showing spending allocation across providers
Current vs Previous Period: Bar chart comparing workspace costs period-over-period
Workspace Table Columns:
Name: Workspace or project name (customizable via Workspace Management)
Provider: AI provider (with logo badge)
Cost: Total spending for the selected period
% of Total: Percentage of overall spending
Requests: Number of API requests
Tokens: Total tokens processed
Trend: Period-over-period cost change with visual indicator (↑ red for increases, ↓ green for decreases)
Features:
Search by workspace name
Filter by cost range (min/max)
Sort by any column
Export to CSV
Refresh data on demand
2. API Key Analytics
Track spending and efficiency metrics for individual API keys across all providers.
Summary Metrics:
Total Cost across all API keys
Active API Key count
Total Requests across all keys
Average Cost per 1M Tokens
Visualizations:
Cost Distribution by API Key: Pie chart showing top spending API keys
API Key Cost Comparison: Bar chart comparing current vs previous period costs by key
API Key Table Columns:
API Key: Key name and associated workspace/project
Key Hint: Partial key identifier (e.g., "sk-ant-api03-Z4C...EQAA")
Provider: AI provider with logo badge
Status: Key status (active, inactive)
Cost: Total spending for the period
Tokens: Total tokens processed
Requests: Number of API requests
Cost/1M: Cost per million tokens (efficiency metric)
Trend: Period-over-period cost change
Use Cases:
Identify high-cost API keys that may need optimization
Track API key usage across teams, projects, or individuals
Monitor cost efficiency (cost per 1M tokens) by key
Detect unused or underutilized keys
3. Model Efficiency
Compare cost efficiency across AI models to optimize model selection and reduce spending.
Summary Metrics:
Total Cost across all models
Model count
Total Requests
Average Cost per 1M Tokens
Visualizations:
Cost Distribution by Model: Pie chart showing spending by model
Model Cost Comparison: Bar chart comparing current vs previous period costs
Model Table Columns:
Model: Model name with ⭐ star indicator for most efficient model
Provider: AI provider
Cost/1M: Cost per million tokens (primary efficiency metric)
Cost: Total spending
Tokens: Total tokens processed
Requests: Number of requests
Trend: Period-over-period cost change
Use Cases:
Compare GPT-5 vs Claude costs for similar tasks
Identify opportunities to switch to more efficient models
Track model cost trends over time
Optimize model selection based on cost-per-token metrics
4. Workspace Management
Manage workspace names, view detailed metadata, and track workspace history.
Features:
Rename Workspaces: Assign custom names to provider workspaces for easier identification
View Metadata: See workspace IDs, provider names, creation dates, and activity status
Track History: View name change history and revert to previous names if needed
Search & Filter: Find workspaces by name
Bulk Management: Manage multiple workspaces efficiently
Workspace Metadata Table:
Workspace Name: Current display name (editable inline)
Provider: AI provider
Workspace ID: Provider's internal workspace identifier
Provider Name: Original name from provider
Status: Active or inactive
First Seen: Date workspace was first detected
Last Seen: Most recent activity date
Actions: Edit name, view history, revert changes
Workspace History: Click "View History" to see all name changes for a workspace, including:
Previous names
Change timestamps
Ability to revert to any previous name
Why Rename Workspaces?
Provider-generated workspace names (like "proj_abc123xyz") are often cryptic. Custom names like "Production API" or "Customer Support Bot" make cost tracking more intuitive for your team.
Combine workspaces across providers under one name. For example, you could rename an OpenAi project and an Anthropic workspace both to "Customer Support" to see combined costs and usage.
Provider Filtering
Filter data by specific AI providers or view all providers combined:
All Providers (default): Aggregate view across all connected providers
Anthropic: Claude models and workspaces
OpenAI: GPT models and projects
Other Providers: Additional connected providers
Provider filtering is available on Workspaces, API Key Analytics, and Model Efficiency tabs.
Data Refresh
Automatic Refresh
Provider data syncs automatically from connected AI provider accounts on a regular schedule.
Manual Refresh
Click the "Refresh Data" button to trigger an immediate sync from provider billing systems. This is useful when:
You've just added new API keys or workspaces
You want the latest cost data before making decisions
You're troubleshooting discrepancies
Note: Manual refresh may take 30-60 seconds depending on the amount of data being synced.
Exporting Data
Export any table view to CSV for further analysis, reporting, or integration with other tools:
Apply desired filters (time period, provider, search, cost range)
Click "Export CSV" button
CSV file downloads with current filtered data
CSV exports include all visible columns and respect current sort order.
Best Practices
Start with Workspace Overview
Begin by reviewing the Workspaces tab to understand overall spending patterns and identify high-cost workspaces.
Rename Workspaces Early
Use Workspace Management to assign meaningful names to provider workspaces as soon as they're created. This makes cost tracking more intuitive for your entire team.
Monitor Model Efficiency Regularly
Check the Model Efficiency tab weekly to identify opportunities to switch to more cost-effective models without sacrificing quality.
Track API Key Usage
Use API Key Analytics to ensure API keys are being used as intended and to identify keys that may need rotation or deactivation.
Set Up Alerts
Combine Provider Dashboard insights with Cost & Performance Alerts to get notified when spending exceeds thresholds.
Export for Reporting
Export data to CSV for monthly cost reports, budget planning, or sharing with finance teams.
Common Scenarios
Scenario 1: Identifying Cost Spikes
Goal: Understand why AI costs increased 50% this month
Workflow:
Open Workspaces tab, set period to "Last 30 days"
Review "Current vs Previous Period" chart to identify which workspaces increased
Click on high-growth workspace to see details
Switch to API Key Analytics tab, filter by that workspace
Identify specific API keys driving the increase
Switch to Model Efficiency to see if model mix changed
Scenario 2: Managing Team API Keys
Goal: Track which team members or projects are using which API keys
Workflow:
Use Workspace Management to rename workspaces by team/project
Open API Key Analytics tab
Search for specific team names or projects
Review cost and usage by API key
Identify unused keys (0 requests) for potential deactivation
Export data for team cost allocation
Scenario 3: Monthly Cost Reporting
Goal: Generate monthly AI spending report for finance team
Workflow:
Set time period to previous month (custom date range)
Export Workspaces data to CSV
Export Model Efficiency data to CSV
Review trend indicators for period-over-period changes
Take screenshots of key charts for presentation
Combine with Budget Monitoring data for complete picture
Summary
The Provider Dashboard provides comprehensive visibility into AI provider spending with workspace-level granularity, API key tracking, model efficiency analysis, and workspace management capabilities. By syncing directly with provider billing systems, it ensures accurate cost tracking and enables teams to optimize spending, manage workspaces effectively, and make data-driven decisions about model selection and API key usage.
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