The observability and cost optimization layer for teams building with large language models. Measure exactly what your AI costs, find the prompts quietly draining your budget, and ship leaner systems without sacrificing quality.
Trusted by AI teams shipping production workloads at scale.
Token consumption is the new compute spend — and most teams are flying blind.
System messages quietly grow. Context windows fill with redundant data nobody ever audits.
Recursive tool calls spiral for minutes before your on-call gets paged — after the bill has landed.
Half your cost in a typical RAG system is context the model never even reads.
Your CFO wants to know which product line is consuming AI spend. You have no answer.
Real-time visibility across every model, every endpoint, every team. The teams winning with AI know exactly where every token goes.
Stream every prompt, completion, and tool call into a single dashboard. Break down token spend by model, route, user, feature, and environment in real time.
Tag every call by customer, team, feature, or experiment. Finally answer your CFO's questions: which product line is the AI spend going to, and which feature has the worst margin.
The analysis engine continuously scans for waste: oversized prompts, redundant context, retrieval chunks never cited. Each recommendation comes with a projected dollar saving.
Every recommendation is paired with side-by-side evaluation runs. See exactly how a leaner prompt performs against the original before you ship it.
OpenAI, Anthropic, Google, Mistral, Cohere, open-source models on Together, Groq, Replicate, or self-hosted — one source of truth no matter how your stack evolves.
Full audit trails, configurable PII redaction, and region-pinned storage. SOC 2 Type II, GDPR ready, and self-hostable for teams in regulated industries.
Every tool you need to measure, optimize, and govern your AI infrastructure — all in one platform.
A real-time stream of every call your stack is making, with token counts, latency, model, and cost displayed at a glance. Drill into any single call to see the full prompt, response, metadata, and routing decision.
Daily, weekly, and monthly token and cost views sliced by any dimension you care about. Compare environments, features, and models. Export anything to your data warehouse with one click.
Route requests to the right model automatically based on task complexity, latency target, and cost ceiling. Send simple work to small fast models, escalate complex reasoning to frontier models — without touching your application code.
Set spend ceilings per project, customer, or feature. Get notified before you cross a threshold. Apply hard cutoffs on runaway agents that decide to spend your monthly budget in an hour.
From zero to real-time AI observability in minutes, not months.
Drop in our SDK or point your existing OpenAI-compatible client at the tokens.ms proxy. No code changes beyond a base URL update. Supports Python, Node, Go, Ruby, and REST.
Add lightweight tags for the things you care about: customer, feature, experiment, environment. Define routing rules if you want them. Data streams into your dashboards within minutes.
Watch the recommendations roll in. Implement easy wins. Connect your evals. Let the platform keep working in the background while you build the rest of the product.
Full token visibility transforms how your engineering, product, and finance teams operate.
Set per-customer, per-feature, and per-environment budgets. Know your AI margin before the invoice arrives — not after.
Optimization recommendations arrive ready to implement. No manual prompt auditing. No guesswork. Ship the saving, move on.
Platform teams get one control plane. Product teams get clear ownership. Finance gets accurate chargeback — automatically.
Every cost-saving recommendation is validated against your evals before it ships. Savings that break quality never reach production.
average total cost reduction
across customer base in Q1
Your demo worked. Your usage is climbing. Your unit economics are now an open question. tokens.ms gives you the per-customer cost visibility you need to set the right prices and find the margin leaks before your investors do.
You have a dozen teams shipping AI features inside the same organisation. Some are careful. Some are not. tokens.ms gives the platform team a single place to see every workload, enforce policies, and chargeback accurately.
Agents that loop, branch, and call tools recursively are the easiest way to burn money in 2026. Our agent-aware tracing follows the full call tree, surfaces loops going off the rails, and lets you set hard caps before things spiral.
Half the cost in a typical RAG system comes from over-fetching context the model never actually uses. tokens.ms shows which chunks are getting cited, which are not, and where you can safely cut retrieval budget without hurting quality.
tokens.ms sits between your application and every provider, giving you one source of truth no matter how your stack evolves.
Plus any OpenAI-compatible endpoint. New providers added regularly based on customer demand.
Whether you're a fintech with strict data residency requirements, a healthcare platform managing HIPAA compliance, or an enterprise that cannot send data to any external service — tokens.ms has a deployment model for you.
| Security Feature | Free | Team | Enterprise |
|---|---|---|---|
| Audit logs | ✓ | ✓ | ✓ |
| PII redaction | ✗ | ✓ | ✓ |
| SOC 2 Type II report | ✗ | ✓ | ✓ |
| HIPAA BAA | ✗ | ✗ | ✓ |
| CMEK / BYO key | ✗ | ✗ | ✓ |
| Self-hosted deployment | ✗ | ✗ | ✓ |
| SSO / SCIM | ✗ | ✗ | ✓ |
Every plan comes with a money-back guarantee tied to verified savings.
Money-back guarantee: Every plan comes with a savings guarantee. If tokens.ms does not pay for itself in your first quarter through verified cost reductions, we refund the difference. No questions asked.