exostream

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.