Analytics
Stop Reading Receipts. Start Understanding ROI.
Tokra's Token Analytics normalizes usage data across every LLM provider into a single comparable view -- so you can see not just how many tokens were consumed, but what they produced, which projects they supported, and whether the spend was justified.
Capabilities
Everything Token Analytics does for you
Token Cost Attribution
Calculates exact token consumption and cost per user, per department, per project, and per LLM provider using real-time pricing data.
Multi-Provider Normalization
Normalizes token counts and costs across different LLM providers (OpenAI, Anthropic, Google, local models) into a single comparable metric.
Personal vs. Business Classification
ML-powered classification that distinguishes business use (client work, internal projects) from personal use (homework, travel planning, side projects) based on content signals, timing, and context.
R&D Activity Classification
Classifies LLM sessions as research/prototyping, production, or personal. Generates exportable usage reports formatted to support R&D tax credit claims under US Section 41, UK R&D Relief, and similar programs.
Trend Analysis
Tracks usage patterns over time to identify adoption curves, cost trajectory, seasonal patterns, and productivity correlations.
AI Adoption Scorecards
Measures real AI adoption and proficiency using actual usage data -- not self-reported surveys. Per-employee, per-team, and per-department scorecards show tool usage frequency, model diversity, efficiency metrics, and adoption trends over time.
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Who this is for
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