Tokenomy
FinOps runtime controls for metering, budgeting, routing, and allocating LLM and AI-agent spend across multiple providers.
About Tokenomy
Tokenomy is a FinOps platform for LLM applications and AI agents. It places metering, budgets, routing, and chargeback controls in the runtime path of model traffic. A unified cost graph attributes spend across providers, models, workspaces, customers, agents, and environments, while the metering proxy records request-level usage. Teams can enforce spend policies before paid requests run, apply HTTP 402 quotas, route requests by quality or latency, cache prompts and responses, and monitor anomalies and service health. Chargeback exports, invoice runs, Stripe metered billing, and executive reports connect engineering usage with finance workflows. OpenTelemetry traces, spans, and metrics include cost, token, latency, cache, and provider attribution, with exporters for Prometheus, Datadog, Grafana, and Honeycomb. Under BYOK, provider spend and secrets remain on customer accounts. Public calculators and visualizers need no login. Paid plans add operational controls, longer retention, governance, and support. Plan limits, retention, and governance features vary substantially, and using runtime controls requires routing LLM traffic through Tokenomy.
Best for
Best use cases
Trace a model request from provider usage through workspace or customer attribution, then export the resulting cost data for finance.
Set a budget policy or quota before production traffic reaches a paid provider, with routing, caching, and alerts supporting enforcement.
Give AI agents scoped budgets and a transaction ledger, then use Stripe metered billing for downstream chargeback.
Compare before choosing
Unlike provider-console dashboards, Tokenomy places metering and policy controls in the runtime path across multiple providers.
BYOK keeps provider billing and secrets on customer accounts, but teams must route traffic through Tokenomy to use its runtime controls.
Pricing follows AI spend under management rather than seat count or API-call volume, which changes how costs scale across plans.
Features
Attribute AI spend
Map model costs to providers, models, workspaces, customers, agents, and environments through a unified cost graph.
Control runtime budgets
Apply policies, quotas, routing thresholds, caching, and alerts before or during paid model requests.
Recover and report costs
Export chargeback data, run invoices with Stripe metered billing, and provide finance-facing usage reports.
Pros
- Unified cost attribution spans providers, models, workspaces, customers, agents, and environments for clearer chargeback.
- BYOK keeps provider billing and secrets on customer accounts while preserving cross-provider metering and control.
- Routing, caching, budget enforcement, anomaly detection, telemetry, and billing outputs combine in one operational workflow.
Cons
- Using runtime controls requires routing LLM traffic through Tokenomy, adding an infrastructure component to the request path.
- Starter limits usage to one workspace and 30-day retention, while longer retention and advanced controls require higher tiers.
- SSO, audit logs, policy editing, dedicated tenancy, private deployment, and custom SLAs are restricted to costly upper plans.
Pricing Plans
Free
- All calculators, simulators, and visualizers
- AI Economics Index
- No login required for public tools
Starter
- For under $25k per year in AI spend
- Metering proxy and budget guard
- One workspace and 30-day retention
Pro
- For up to $250k per year in AI spend
- Smart router, caching, and Slack alerts
- Anomaly detection, 12-month retention, and 24-hour support
Team / Business
- For up to $2M per year in AI spend
- Chargeback exports, SSO, and audit logs
- Policy editor, priority support, and custom retention
Enterprise
- For $2M or more per year in AI spend
- Dedicated tenancy, SOC 2, and custom SLAs
- Private deployment, MCP-first agent governance, and a 20% savings guarantee via the AI Economics Assessment
* Pricing information is for reference only. Please refer to the latest announcement on Tokenomy's official website.