Use Cases
Who uses the oracle, and why.
For AI Engineers
Track what you're actually spending across models.
κ tells you how exposed you are to price changes — high context = high exposure.
Forward curves show where prices are headed so you can plan migrations.
Cost alerts when a cheaper model crosses below your current one.
For Finance & Procurement Teams
Budget forecasting with forward curves, not guesswork.
The oracle publishes θ (decay rate) — how fast prices are falling per model.
Inference Budget Planner: input your monthly volume, get spot + forward cost projections.
"Inference costs fell 4.2% last month per the Exostream Index" — the number for your CFO.
For LLM Tooling Platforms
Replace hardcoded price tables with a live API feed.
Observability platforms: accurate auto-updating cost tracking.
Router/gateway projects: real-time pricing for cost-aware routing decisions.
One integration, all providers, always current.
For AI Analysts & Investors
Structured historical pricing data that doesn't exist anywhere else.
Depreciation analytics: half-life of pricing power per model generation.
Provider competitive intelligence: who's cutting fastest, where margins compress.
The Inference Cost Index — a single benchmark for the market.
For Agentic Systems
MCP server: query pricing conversationally from any MCP-compatible agent.
x402 integration: dynamic, market-referenced pricing for machine-to-machine inference.
Cost-aware routing: agents that optimize spend in real-time against the oracle.