Now in Beta

See every dollar. Control every call.

Real-time cost visibility, hard budget enforcement, anomaly detection, and revenue management for your AI APIs. From first prototype to production scale.

Costs prevented by ModelCost customers

$72,000 saved — infinite loop caught in 4s
$200,000 saved — DDoS blocked by circuit breaker
$150,000 saved — staging budget cap enforced
< 1ms
SDK Latency Overhead
6
Features, One SDK
30×
Average Customer ROI
0
Proxy Required
Integrations

Works with every major LLM provider

One SDK wraps them all. Track costs, enforce budgets, and detect anomalies across every provider.

O

OpenAI

GPT-4oGPT-4 TurboGPT-4GPT-4o MiniGPT-3.5 Turbo
A

Anthropic

Claude OpusClaude SonnetClaude Haiku
G

Google

Gemini 1.5 ProGemini 1.5 FlashGemini 2.0 Flash
B

AWS Bedrock

Coming Soon
C

Cohere

Coming Soon
M

Mistral

Coming Soon
Platform

The complete AI cost platform

From visibility to monetization — every tool you need to manage AI spend at scale.

Feature 01

Real-Time Cost Visibility

See exactly where every dollar goes the moment it's spent. Break down costs by feature, model, customer, and environment — with dashboards that update in real time, not end-of-month.

  • Per-feature cost breakdowns (chatbot vs. search vs. summarizer)
  • Per-model spend comparison across OpenAI, Anthropic, Google
  • Per-customer cost tracking with margin analysis
  • Historical trends with daily, weekly, and monthly views
Cost by Feature
chatbot
$4,250
search
$2,100
summarizer
$680
Cost by Model
GPT-4o · 62%Claude Sonnet · 25%Gemini Flash · 13%
Top Customers
CustomerAI CostMargin
Acme Corp$1,240+62%
Initech$4,670-38%
Stark Labs$320+78%
Feature 02

Budget Caps & Enforcement

Set hard spending limits at the org, feature, or environment level. When the budget is hit, calls are blocked automatically — no exceptions, no surprises.

  • Per-environment budgets (prod $10k, staging $1k)
  • Tiered alerts at 80%, 95%, and 100%
  • Emergency override with Slack approval
  • Real-time spend tracking with <1ms SDK overhead
$7,234
of $10,000
chatbot
$4,250
search
$2,100
staging
$184
Feature 03

Anomaly Detection & Auto-Shutoff

Statistical baselines detect spend spikes in real time. When an anomaly fires, the circuit breaker kicks in — throttling or blocking calls before cost spirals.

  • 5-sigma anomaly detection per feature
  • Automatic circuit breaker activation
  • PagerDuty, Slack, and email alerts in <60s
  • Post-incident savings report with prevented cost

Spend / hour

Monitoring
Anomaly detected — chatbotSpend 8.2× baseline. Circuit breaker activated, throttling 50% of requests.
↳ Prevented cost: $9,250
Feature 04

Billing & Revenue Management

Turn AI costs into a revenue line item. Set pricing rules per customer, generate invoices automatically, and export to your billing stack.

  • Flexible pricing rules: markup %, flat rate, free tier, tiered
  • Automated per-customer invoice generation via Stripe
  • CSV export for finance teams and custom billing systems
  • Margin analysis to price AI features profitably
INV-2026-0342
Acme Corp
AI API Usage · Mar 2026
chatbot1,240 calls$186
search890 calls$44
summarizer320 calls$28
Subtotal$258
Markup (25%)$64
Total$322
Sent via Stripe &check;
And More

Built for teams that need depth

Every tier includes optimization insights. Scale unlocks governance.

Optimization Engine

Automated recommendations to reduce spend without sacrificing quality.

  • Model downgrade suggestions with confidence scores
  • Duplicate and redundant call detection
  • Estimated monthly savings per recommendation

Data Governance

Protect sensitive data before it reaches third-party LLM APIs.

  • PII, PHI, and secrets detection in prompts
  • Automatic redaction or blocking before data leaves your infra
  • Configurable policies with audit trail
SDK-First

Three lines to production safety

No proxy. No infra changes. Just wrap your existing calls.

app.py
from modelcost import ModelCostClient

mc = ModelCostClient(
    api_key="mdc_xxx",
    budget_enforcement=True
)

@mc.track(
    feature="chatbot",
    customer_id="cust_123",
    enforce_budget=True
)
def generate_response(prompt):
    # Budget checked → cost tracked → anomaly monitored
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}]
    )
    return response
Setup

Protected in under five minutes

No infrastructure changes. No proxy. Direct API calls stay direct.

1

Install the SDK

Add our lightweight SDK to your project. Python, Node.js, and Java supported. One dependency, zero config files.

~2 minutes
2

Wrap your AI calls

Add the @track decorator to existing functions. Tag with feature name and customer ID. Your code stays the same.

~3 minutes
3

Set budgets & ship

Configure budget caps and alert thresholds in the dashboard. Deploy. Every call is now tracked, attributed, and protected.

~1 minute
Pricing

Simple, transparent pricing

Starts paying for itself the moment you see your first dashboard.

Starter
$49/mo

For teams exploring AI cost visibility.

  • Cost visibility dashboard
  • Up to $10k/mo tracked spend
  • 3 budget policies
  • Email alerts
  • 30-day data retention
Start Free Trial
Growth
$199/mo

For teams shipping AI to production.

  • Up to $100k/mo tracked spend
  • Unlimited budget policies
  • Anomaly detection & auto-shutoff
  • Per-customer attribution
  • Billing & invoicing
  • Slack + PagerDuty alerts
  • 90-day data retention
Start Free Trial
Scale
$499/mo

For companies scaling AI across the org.

  • Unlimited tracked spend
  • Caching & auto-routing
  • Data governance & compliance
  • 90-day audit trail
  • Priority support
Start Free Trial
Enterprise
Custom

For companies with advanced compliance needs.

  • Everything in Scale
  • VPC deployment
  • HIPAA & GDPR compliance
  • SSO & RBAC
  • Dedicated support & SLA
  • Custom data retention
Contact Sales

Start seeing where your AI dollars go.

Full visibility, budget enforcement, and revenue tools — live in under five minutes. No credit card required.