AI Token Usage Verification
Token_ID
Audit AI token usage to detect billing anomalies, wasted compute spend, and cost inefficiencies as usage scales.
Align AI infrastructure costs with actual consumption.


AI Costs Are Scaling Without Visibility
- Token usage exceeds expectations due to inefficient prompts and retry loops
- Premium model tiers are used for low-complexity tasks, wasting premium capacity on simple tasks
- Batch processing opportunities are missed, leading to unnecessary real-time costs
- Failed requests incur cost without delivering value
- Usage spikes from development and testing contaminate production cost analysis
How TokenID Controls Your AI Costs
TokenID monitors API calls across your AI providers, analyzing token usage patterns, model selection, and billing accuracy.
It identifies cost inefficiencies and ensures spend aligns with actual usage
WHAT WE DETECT
- Inefficient prompt patterns
- Model tier misallocation
- Retry loop inefficiencies
- Failed request charges
- Missed batch processing opportunities
- Context window inefficiency
- Embedding cost anomalies
- Fine-tuning billing discrepancies

Recovery Process

Improved AI Cost Efficiency
5-10%
Driven by usage optimization and billing accuracy

Supported Integrations
- OpenAI
- Anthropic
- Google AI
- AWS Bedrock
- Azure OpenAI
- Cohere
- Replicate
- Hugging Face
- Together AI
- Anyscale
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