Stop AI Overspend Before It Happens

Centinel blocks budget violations before the API call is made — not after the invoice arrives. Self-hosted. One line of code. Running on a $20/month server.

Instruments Every Major AI Provider

One import. Zero configuration. Auto-instruments all 10 providers sync, async, and streaming. Plus a gateway proxy for any OpenAI-compatible or Anthropic-compatible API.

Anthropic
OpenAI
Gemini
Ollama
Grok
Mistral
DeepSeek
Cohere
Azure
Bedrock

Every other tool shows you what you spent. Centinel stops it before it happens.

Why we're different

Why Teams Switch
to Centinel

Every other AI cost tool is a rearview mirror. Centinel is a brake pedal.

Prevention, Not Reporting

Helicone, Langfuse, and LangSmith tell you what you spent, after the invoice arrives. Centinel evaluates policies in 35ms and blocks overspend before the API call executes. The difference: catching a $50,000 runaway agent on call one, not day thirty.

Total Data Sovereignty

Every competitor is SaaS. Your prompts, responses, and usage patterns live on their servers. Centinel runs on yours. HIPAA-compatible by architecture. Air-gap ready. The only outbound traffic to Dire Wulf: license checks and software updates.

Predictable Pricing

Competitors charge per trace, per token, or per seat so your cost management tool gets more expensive as your AI usage grows. Ironic. Centinel is flat monthly pricing. Scale to 10 million API calls. Your bill stays the same.

Five Minutes to Production

One-command install. One-line SDK integration. Two environment variables. No Kubernetes. No Helm charts. No "schedule a call with our solutions architect." You'll have governance running before your coffee gets cold.

WHAT YOU GET

Capabilities No Other Platform Has

These aren't incremental improvements. They're things that don't exist anywhere else.

Intelligent Model Routing

Automatically routes qualifying calls to cheaper models without quality loss. Learns which call sites can safely downshift. Self-corrects when input patterns drift. Save 40–70% on routable traffic, automatically.

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Pre-Call Enforcement Engine

14 policy types budget caps, rate limits, model restrictions, degradation ladders, and more. Every AI call evaluated in 35ms and blocked before execution if it violates a rule. Deny, throttle, or gracefully degrade. The only platform that physically prevents overspend.

Budget-as-Code

Governance policies defined in YAML, versioned in git, reviewed in pull requests, deployed through CI/CD. The same Infrastructure-as-Code discipline your platform team already uses applied to AI spending. Roll back a policy with `git revert`.

Constitutional Policy Evolution

Governance rules that improve themselves. Centinel optimizes your policies based on real-world performance and every evolved proposal requires your approval before it takes effect. Your governance gets smarter over time. No other platform even attempts this.

Verifiable Enforcement Proofs

Every governance decision is cryptographically signed and auditor-verifiable. Post-quantum ready. Zero-knowledge compliance proofs let auditors verify policy adherence without seeing your prompts, costs, or usage data. Compliance without compromise.

Multi-Agent Threat Detection

Real-time detection of prompt injection, data exfiltration, model manipulation, and privilege escalation across multi-agent workflows. Auto-generated rollback plans. Built for the agentic AI world every other platform is ignoring.

Choose Your Plan

Predictable Pricing. No Per-Token Fees.

Six capabilities no other platform offers. This is what separates governance from observability.

Save 17%

Pro

For teams that need enforcement and policy control.

$249

Monthly

  • 5 users, 5 apps
  • 30-day dashboard history
  • 10 alert rules, 5 governance policies
  • Pre-call budget enforcement
  • Sensitive data pattern detection
  • Email support (48hr response)

Business

Executive dashboards, full RBAC, and advanced attribution.

$1999

Monthly

  • Everything in Team +
  • 75 users, unlimited teams & apps
  • 1-year dashboard history
  • Unlimited alerts & policies
  • Full RBAC with custom roles
  • Executive dashboards & forecasting
  • Agentic cost attribution (Tree Shapley)
  • What-if scenario modeling
  • 4-hour support response + onboarding call
Enhanced Plans & Add-ons

Governance That Evolves, Scales, and Proves Itself

Self-evolving policies. Federated intelligence across deployments. Cryptographic compliance proofs. Post-quantum attestation. Capabilities that don't exist anywhere else — at any price, from any vendor.

  • Self-evolving governance
  • Federated intelligence
  • Verifiable compliance
  • Intelligent model routing
  • Multi-agent threat detection
  • Any language, any stack
How It Works

Production-Ready in Under 5 Minutes

No Kubernetes. No Helm charts. No DevOps team. One command, two env vars, one import.

Deploy Your Server

One command. Docker or bare metal. SQLite database created automatically. Dashboard available immediately. Secure API key generated on first run.

```
curl -fsSL https://get.centinel.dev | bash
```
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Instrument Your Apps

Install the SDK. Set your server URL and team token. Add one import as the first line of your app. Every AI call across every provider is now tracked, costed, and governed automatically.

```python
pip install centinel-agent
import centinel  # That's it
```
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Define Policies

Write governance rules in YAML. Validate locally. Apply to your server. Budget caps, rate limits, model restrictions, degradation ladders all enforced before the next API call. Check policies into git. Ship governance like code.

```bash
centinel policy apply centinel-policy.yaml
```
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FAQs

The real questions

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No. Centinel collects ONLY metadata: provider name, model name, token counts, estimated cost, latency, and environment tags. We never collect prompts, responses, API keys, or any request/response content. The SDK is open source you can verify this yourself. Your proprietary data stays in your application. Centinel only sees the meter readings, never the content flowing through the pipes.

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Three fundamental differences. First, Centinel is self-hosted your data never leaves your infrastructure, while every competitor is SaaS with your data on their servers. Second, Centinel enforces budgets BEFORE API calls are made (35ms pre-call evaluation), while competitors only report costs after the fact. Third, Centinel charges a flat license fee competitors charge usage-based fees that grow with your AI spend, which means your cost management tool becomes its own cost problem. They observe. We enforce.

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No. Your application never depends on Centinel. The SDK is fail-open by design, Centinel is a governance layer that sits alongside your AI calls, not in front of them. If the Centinel server is unreachable, every AI call proceeds exactly as if Centinel wasn't installed. Zero impact. Zero latency. Your app doesn't know or care. When the server comes back, governance resumes automatically. Centinel can only help you, it can never break you.

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No. One import (`import centinel`) auto-instruments all 10 supported providers simultaneously — OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Groq, Mistral, Cohere, Ollama, and DeepSeek. If your app calls OpenAI for chat, Anthropic for analysis, and Bedrock for embeddings, all three show up in one unified dashboard with combined cost attribution. For non-Python languages, the gateway proxy brings full governance to Node.js, Go, Java, Rust — just change your BASE_URL.

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This is actually the best time. A five-minute install gives you visibility and guardrails before costs become a crisis. Teams that wait typically discover the problem when a runaway agent or unexpected usage spike has already done the damage. The free Community tier costs nothing — start tracking now, enforce later when you need it.

Knowledgebase

Guides, benchmarks, and insights to help you govern AI costs.

Spinning Centinel up is just the tip of the iceberg. We have created a deep knowledgebase your team can leverage to get off the ground in minutes.

Let's start

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