Token Burn Analytics: Real-Time LLM Cost Allocation
Without per-tenant token analytics, you cannot tell which customer accounts are profitable and which are burning cash on AI inference. Exogram attributes every token to specific accounts and workflows in real time.
Token Burn Analytics provides real-time per-tenant cost attribution across multi-model AI application environments. By tagging prompt payloads with customer IDs and token counts, software platforms allocate inference expenses directly to accounting ledgers. Exogram captures token telemetry in 0.07ms to prevent un-tracked API cost leakage.
Why Blind API Billing Is Dangerous for B2B SaaS
Most AI application developers receive a single aggregated bill from OpenAI or Anthropic at the end of the month. Without tenant-level telemetry, companies cannot identify power users who consume 80% of inference resources on basic tier plans.
Granular Cost Attribution with Exogram
Exogram intercepts every API call payload, calculates precise prompt and completion token counts, and maps expenses to customer tenant IDs. This enables usage-based pricing enforcement and real-time margin alerts.
Telemetry System Features:
- Tenant Token Mapping: Link every LLM inference request directly to customer account IDs.
- Real-Time Margin Alerts: Notify finance teams when an account crosses usage thresholds.
- Usage-Based Tier Enforcer: Rate-limit or offload queries when tier budgets expire.