Dome Systems

Dome Systems — Governed AI-gateway telemetry: a single normalised Audit v1 trail over every governed LLM/agent request, carrying allow / deny / filtered / failed outcomes, service and policy-path health, latency broken out per tool, model, gateway and rule evaluation, rate-limit and resource-exhausted quota events, and LLM consumption attributed by agent, API key, identity and served model across a six-class token partition (fresh input, cache-read, cache-write, output, hidden reasoning, call count) with per-class pricing applied at read time as estimated_cost_usd. Consumption is exposed as f…

Dome Systems offers (Alternative, Fundamental, Reference) — Per workspace, 10^5-10^8 governed events and LLM calls per month is normal for an AI gateway sitting in front of agent traffic, each carrying the full token-class and outcome partition. Cross-tenant aggregate is therefore dominated by whichever few design partners are live; the dataset is deep per tenant but the tenant count is small..

Cross-enterprise benchmarking of real agentic AI consumption and unit economics (cost per agent-task by model and workload) — the single most requested and least available number in the market right now; model-pricing and cache-strategy optimisation models; AI-policy/guardrail training data from allow-deny-filtered-outcome pairs at volume; inference-efficiency research using the cache-read/write/reasoning partition; an equity-relevant alternative-data read on AI spend velocity and model mix by vertical, attributable to named identities rather than survey estimates; and detection of shadow/undocumented agent usage inside firms.

The data is with 2 years of history.

Coverage spans US; Infrastructure Software; alternative, fundamental, reference; equities.