tokenomy-ai
Tokenomy is a FinOps platform for AI that meters, budgets, routes and chargebacks LLM and AI agent spend across providers (OpenAI, Anthropic, Google, xAI and open-weight endpoints) while enabling BYOK and deployment of runtime rails such as a metering proxy, smart router and budget guard.
tokenomy-ai is finance software teams evaluate for finance. Use this page to review pricing, integration signals, and the best alternatives before you commit.
Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.
Review official source →Quick Overview
Best for: Finance
What it does
Finance software for decision-makers comparing workflow fit and alternatives.
Best fit
Finance
Pricing snapshot
Free
Next step
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tokenomy-ai
Tokenomy is a FinOps platform focused on AI and large language model economics, designed to provide unified cost visibility, metering and operational controls across multiple providers and models. It captures real usage ledgers and attribution (not sampled dashboards), enabling organizations to show finance, security and product which AI spend produced which outcomes. The platform emphasizes runtime rails over dashboards: it ships deployable components (metering proxy, smart router, budget guard, MCP server) and supports bring-your-own-keys (BYOK) so provider spend stays on customers' accounts.
AI token calculator and cost estimator for LLMs.
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Claim this page for a one-time $29 to add pricing, features, screenshots, verified owner details, and a clearly labeled 30-day category position after the profile is live.
Claim this listing for $29Key Features
Unified cost graph & real usage ledger
Provides a unified cost graph across every provider, model, workspace, customer, agent and environment with real usage ledger and real attribution rather than sampled dashboards.
Metering proxy
A deployable metering proxy that supports providers including OpenAI, Anthropic, Google, xAI, OpenRouter and Ollama to capture model call usage.
Smart router
Routing layer with quality/latency thresholds and failover to direct requests to appropriate models or endpoints.
Budget guard
Enforces quotas with HTTP 402 responses and Slack alerts to prevent overspending and enforce policies before requests hit paid providers.
Prompt and response caching
Caching with per-tenant isolation to reduce token spend and avoid repeated calls, contributing to cost reductions.
Chargeback and billing
Chargeback exports, invoice runs and Stripe metered billing to attribute costs and produce invoices or executive reports.
MCP server for agents
MCP server integration for ChatGPT, Claude and Cursor agents to support agent runtime usage metering and control.
Free tools and AI Economics Index
Public tools such as token calculator, cost estimator, speed simulator, memory calculator, energy usage estimator, prompt visualizer, GPU monitoring and the AI Economics Index available without login.
Pricing
Free public tools (token calculator, cost estimator, speed simulator, memory calculator, energy usage estimator, prompt visualizer, GPU monitoring and the AI Economics Index) available without login.
Use Cases
FinOps and cost visibility
Track and attribute AI spend across providers and models to give finance and product teams clear visibility into where AI dollars are being spent.
Cost reduction and optimization
Use smart routing, caching, budget guard and anomaly detection to cut token spend (advertised 20–40%) without changing prompts.
Chargeback and billing
Export chargeback data, run invoice cycles and integrate with Stripe for metered billing to recover or reallocate costs.
Operational guardrails for agents
Deploy runtime rails (metering proxy, MCP server, budget guard) to enforce policies, thresholds and failover for AI agents in production.
Integrations
OpenAI
Metering proxy and routing to capture and route OpenAI model calls.
Anthropic
Support for metering and routing Anthropic model calls.
Support for Google provider endpoints in the metering proxy and router.
xAI
Support for xAI provider endpoints.
OpenRouter
OpenRouter endpoints supported by the metering proxy and router.
Ollama
Support for Ollama/open-weight endpoints.
Stripe
Stripe metered billing integration for chargeback and invoice runs.
ChatGPT / Claude / Cursor agents
MCP server integration for agent runtimes (ChatGPT, Claude and Cursor).
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Visit the Tokenomy site and review Documentation and Trust & Security sections.
- 2 Step 2: Deploy Tokenomy runtime components (metering proxy, smart router, budget guard, MCP server) in your environment — the site states deployment can be done in a day.
- 3 Step 3: Configure per-workspace API keys and bring your own provider keys so spend remains on your accounts, then configure routing, budgets and chargeback exports.
Support
docs
Documentation link in the site navigation ("Documentation").
contact
Contact page link in the site navigation ("Contact").
trust & security
Trust & Security information accessible from the site navigation ("Trust & Security").
API
Documentation available via the site's Documentation link (see site navigation).
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