↗ Open source · Free forever · No credit card

Know exactly what your
AI actually costs

Token consumption, model pricing, efficiency scores and budget alerts — all in one dashboard. One line to install.

Start for free → ▶ Live demo
$ pip install vantage-ai · $ npm install vantage-ai
34%
avg token waste in typical AI pipelines
8×
price spread between cheapest and costliest model for the same task
67%
of AI teams only find quality regressions after user complaints
$0
to get started — full features, no credit card required
// how it works
Up and running in three steps
01
Install the SDK
One pip or npm install. Drop two lines into your existing code — no architecture changes, no new infrastructure to manage.
02
Every call is tracked
Vantage wraps your OpenAI and Anthropic clients transparently. Tokens, cost, latency, and quality are captured automatically in the background.
03
Cut costs, ship faster
See exactly where your AI budget goes. Route to cheaper models, compress wasteful prompts, and set budget alerts — all from one dashboard.
// capabilities
Everything you need to run AI intelligently
📊
Token & cost analytics
Real-time breakdown of token usage and spend per model, feature, user and team. See which 5% of requests consume 50% of your budget.
→ per-request granularity
💱
Cross-model pricing intelligence
Live pricing across every major LLM. Run your actual usage through each model and see exactly how much you'd save by switching.
→ "save $3,200/mo on Gemini Flash"
⚡
Efficiency scorer
Automatically flags bloated system prompts, redundant context and inefficient few-shot examples. Get a prompt efficiency score on every call.
→ ML-powered token optimizer
🔔
Budget alerts & governance
Set spend caps by team or feature. Slack/email alerts before budgets blow. Detect runaway agents before they hit your invoice.
→ anomaly detection built-in
📈
Exec ROI dashboard
Translate token costs into business outcomes — cost per resolved ticket, per summary, per customer interaction. Built for CTOs and CFOs.
→ no raw tokens visible
🏷️
Cost attribution
Break down AI spend by department, product feature or customer. Connect to billing to charge-back AI costs to the teams that incur them.
→ integrates with Stripe
// works everywhere
Drop into your stack in 60 seconds
Cursor
MCP server — ask Cursor's AI about your spend directly in chat
MCP SERVER
Windsurf
MCP server — Cascade can answer cost questions using live data
MCP SERVER
Claude Code
Native MCP support — add one config block and you're live
MCP SERVER
VS Code
Extension with status bar counter, sidebar dashboard and alerts
EXTENSION
Python
Two-line drop-in proxy for OpenAI and Anthropic SDKs
SDK
TypeScript / JS
createOpenAIProxy() wraps any existing client with zero changes
SDK
Zed
Context server config — one JSON block in settings
MCP SERVER
JetBrains
AI Assistant MCP plugin — IntelliJ, PyCharm, WebStorm
MCP SERVER
// integration
Two lines. Seriously that's it.
Python
TypeScript
MCP (Cursor)
# Before
from openai import OpenAI

# After — only 2 lines changed
import vantage
from vantage.proxy.openai_proxy import OpenAI

vantage.init(api_key="vnt_your_key")
client = OpenAI(api_key="sk-...")

# Everything else is identical — Vantage wraps transparently
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
# ✓ Tokens: 12 in, 8 out  ✓ Cost: $0.000110  ✓ Latency: 423ms
# ✓ Cheapest alternative: gemini-1.5-flash — save 94%
// Before
import OpenAI from "openai";

// After — only 2 lines changed
import { init, createOpenAIProxy } from "vantage-ai";
import OpenAI from "openai";

init({ apiKey: "vnt_your_key" });
const openai = createOpenAIProxy(new OpenAI());

// Identical API — Vantage wraps every call automatically
const response = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});
// ✓ Captured: tokens, cost, latency, cheapest alternative
// ~/.cursor/mcp.json  (or windsurf / claude-code equivalent)
{
  "mcpServers": {
    "vantage": {
      "command": "npx",
      "args": ["-y", "vantage-ai-mcp"],
      "env": {
        "VANTAGE_API_KEY": "vnt_your_key",
        "VANTAGE_ORG_ID": "your_org_id"
      }
    }
  }
}

// Then ask Cursor / Claude Code / Windsurf in chat:
// "How much did I spend on AI this week?"
// "Which model is cheapest for my summarisation workflow?"
// "Show requests wasting the most tokens"
// live demo
See it in action — no login needed
app.vantage.ai / overview
LIVE DEMO
◈ Overview
◎ Usage
⟁ Pricing
⊡ Efficiency
◷ Alerts 3
⊞ Teams
MTD Spend
$4,821
↑ 12%
Tokens Used
182M
↓ eff +8%
Efficiency
74/100
↑ 6pts
Potential Save
$1,240
2 workflows
Daily token spend — last 30 days

Create a free account → to see your actual data

// pricing
Simple, transparent pricing
FREE
$0
forever · no credit card
Get started →
  • Up to 10,000 requests/month
  • Token & cost dashboard
  • 3 models tracked
  • 7-day log retention
  • 1 user seat
  • Community support
MOST POPULAR
TEAM
$99
per month · billed annually
Start 14-day trial →
  • Unlimited requests
  • All models tracked
  • Cross-model pricing intelligence
  • Efficiency scorer + optimizer
  • Budget alerts (Slack, email)
  • Cost attribution by team
  • 90-day log retention
  • Up to 10 seats
ENTERPRISE
Custom
contact us for pricing
Talk to sales →
  • Everything in Team
  • Self-hosted deployment
  • SSO / SAML
  • Exec ROI dashboards
  • Stripe cost chargeback
  • SOC2 + HIPAA compliance
  • Unlimited retention
  • Dedicated support
// what teams say
Trusted by teams shipping AI
★★★★★
"We had no idea 12% of our GPT-4o calls were going to a single endpoint that could have used Flash. Vantage found it in the first hour. Saved us $1,800/month instantly."
JK
Jordan Kim
Engineering Lead · AI startup, Series A
★★★★★
"My CFO asked me to justify our $40k/month Anthropic bill. I sent her the Vantage exec dashboard link and she approved next quarter's budget the same day. That's it."
MP
Meera Patel
CTO · Enterprise SaaS, 300 employees
★★★★★
"The MCP integration with Cursor is genuinely magical. I just type 'how much did our RAG pipeline cost this week?' and Cursor answers with live data from Vantage."
AR
Alex Rivera
Senior ML Engineer · AI consultancy
// vs the alternatives
Why teams choose Vantage
Feature ✦ Vantage Helicone LangSmith Datadog LLM
Real-time cost dashboard✓✓partial✓
Cross-model pricing intelligence✓———
Token efficiency scoring✓———
Hallucination / quality scoring✓—✓—
MCP server (Cursor/Windsurf/Zed)✓———
AI model auto-router✓———
Budget alerts (Slack/email)✓✓partial✓
Exec ROI dashboard✓——partial
RBAC + audit logs + SOC2✓partialpartial✓
Free tier✓ generous✓✓—
Team plan pricing$99/mo$80/mo$39/mo$15+/host
// security & compliance
Built to enterprise standards
🔒 SOC2 Ready
🇪🇺 GDPR Compliant
🏥 HIPAA Ready
🔑 API Keys SHA-256
📋 Full Audit Logs
🌐 Self-Hostable
⚡ 99.9% Uptime
// faq
Common questions
Does Vantage store my prompts and responses? +
Vantage stores a short preview of your request and response (first 500 chars) to help you debug expensive or low-quality calls. You can disable this entirely in your SDK config. We never train models on your data, and you can request deletion at any time under GDPR.
Does adding the Vantage SDK add latency to my calls? +
No measurable latency is added. Vantage captures event data after your LLM call completes and sends it to our ingest API in a background thread. Your main request path is completely unaffected — zero added latency.
What happens if the Vantage ingest API is down? +
Your AI calls continue to work normally — Vantage is not in the critical path. Events are queued locally and retried when connectivity is restored. Your production traffic is never affected by Vantage availability.
Which LLM providers and models are supported? +
Vantage supports 23+ models across 7 providers: OpenAI (GPT-4o, o1, o3), Anthropic (Claude 3.5/4 family), Google (Gemini 1.5/2.0), Meta (Llama 3.x), Mistral, Cohere, and xAI (Grok). New models are added within 24 hours of launch.
Can I self-host Vantage on my own infrastructure? +
Yes. The Vantage server is open-source and deployable on Railway, Render, or any VPS in under 10 minutes. Enterprise customers get a Docker Compose package and Kubernetes Helm chart for air-gapped deployments where data never leaves your VPC.
How does the free tier compare to paid plans? +
The free tier gives you 10,000 requests/month, the core cost dashboard, 7-day log retention, and 1 user seat — no credit card required, forever. The Team plan ($99/mo) adds unlimited requests, cross-model pricing intelligence, efficiency scoring, budget alerts, team attribution, and up to 10 seats.

Stop guessing.
Start measuring.

// one line of code · full visibility in 60 seconds · free forever

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