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Orb (withorb.com) — Cross-vendor product-usage and consumption telemetry: every metered usage event a customer's product emits (per-user seat usage, AI agent/bot/workflow runs, token and credit drawdown, overage events), attributed to named licensed entities (seat, bot, agent, workflow, machine) with plan, activation date, timezone, credit allocation and cost-of-goods-per-user detail.. Large in rows and exceptional in uniqueness: a single vendor sitting in the metering path of many AI and SaaS products sees cross-company consumption, seat utilisation and agent-run volumes that no individual b…
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Cross-vendor product-usage and consumption telemetry: every metered usage event a customer's product emits (per-user seat usage, AI agent/bot/workflow runs, token and credit drawdown, overage events), attributed to named licensed entities (seat, bot, agent, workflow, machine) with plan, activation date, timezone, credit allocation and cost-of-goods-per-user detail.
Scale Very largeFrom 6 yearsCoverage Information Technology
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Orb (withorb.com) — Cross-vendor product-usage and consumption telemetry: every metered usage event a customer's product emits (per-user seat usage, AI agent/bot/workflow runs, token and credit drawdown, overage events), attributed to named licensed entities (seat, bot, agent, workflow, machine) with plan, activation date, timezone, credit allocation and cost-of-goods-per-user detail.. Large in rows and exceptional in uniqueness: a single vendor sitting in the metering path of many AI and SaaS products sees cross-company consumption, seat utilisation and agent-run volumes that no individual b…
Orb (withorb.com) offers (Alternative, Fundamental) — Very large — every metered event from every tenant product, retained for re-rating and audit; order of 10^9-10^10 events historically across the tenant base (billing systems retain multi-year event logs by design).
Alternative-data signal on AI-product adoption and per-seat consumption intensity across the software economy; enterprise seat-utilisation and churn-early-warning models; pricing and monetisation benchmarks (usage-vs-seat economics, overage rates, credit exhaustion); cost-of-goods-per-user models for GPU/token-heavy products; agent-vs-human workload mix estimation
The data is with 6 years of history.
Coverage spans US; Application Software; alternative, fundamental; equities.
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