Real-Time LLM Cost Tracking and Optimization Platform
P6/10April 17, 2026
WhatA developer tool that instruments LLM API calls to measure actual token costs across models, tokenizers, and providers in real-time, surfacing hidden cost drivers like system prompts and verbose outputs.
SignalDevelopers are discovering that advertised per-token pricing doesn't tell the full story — tokenizer changes, inflated system prompts, and verbose model outputs can silently increase real costs by 20-30% or more, and most teams have no visibility into this.
Why NowRapid model iteration (4.5, 4.6, 4.7 in months) means tokenizer and pricing changes are now a recurring operational risk, not a one-time evaluation.
MarketAI engineering teams and startups spending $1K-$100K+/month on LLM inference; TAM grows with LLM adoption; competitors like Helicone and LangSmith track usage but don't deeply analyze tokenizer-level cost variance across model versions.
MoatHistorical cost benchmarking data across model versions becomes a unique dataset; switching costs rise as teams build dashboards and alerts around the platform.
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