Teams using multiple LLM tools and models cannot easily see where tokens and API calls are being wasted (duplicate tool definitions, repeated full-history uploads, excessive subagent calls). Without visibility, it's hard to optimize or hold vendors accountable for inefficient behavior.
Why now: LLM usage and billing have become major line items; teams need observability to control costs and spot inefficiencies as LLM adoption scales.
A SaaS dashboard that ingests API call logs (or proxies calls) and visualizes token usage, repeated payload patterns, model-level breakdowns, and shows recommendations (e.g., cache this definition, summarize that file). MVP: integrations with popular LLM providers, per-call token breakdown, alerts for anomalous token spikes, and suggested rule-based optimizations.
Built for: Engineering leads, platform teams, and ops teams managing LLM costs across an organization.
Business model: subscription
LLM Token & API Call Analytics Dashboard targets a large market (over $1B TAM). Existing solutions are incomplete or outdated — there's clear room for a better product.
Underserved
Large
MVP (1 Month)
High
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Includes: 8 competitors found, 10 risks identified, full business plan, market research