AI inference spend monitoring & FinOps

See every dollar
your AI spends.

Real-time cost attribution across every LLM provider, autonomous waste detection, and a governance gateway that stops runaway spend before it hits the invoice — not after.

Trusted by FinOps & platform teams shipping AI at scale

Hover to see what's underneath.

Every dashboard number is a rollup. Move the lens to see the attribution behind it — team, workload, agent, and model, down to the token.

modelwatch.app / dashboard
MTD AI Spend
$1.2M
▲ 8.4% vs last month
Open Anomalies
3
▼ 2 resolved today
Providers Monitored
15+
across every workload
Est. Monthly Waste
$14.6K
21 detections open
Daily spend — last 30 days
Top providers
Anthropic$487K
OpenAI$341K
AWS Bedrock$118K
Vertex AI$76K

↖ move your cursor over the dashboard

Built for teams shipping AI at scale

🛰️

Real-time Gateway

Proxy every OpenAI/Anthropic call inline. Enforce budgets and model-allowlist policy before the request leaves your network — not after the invoice.

🔎

DeepWaste Detection

Seven rule-based detectors and an installable pack marketplace find agent loops, wrong-tier models, and abandoned features automatically.

📈

Forecasting that adapts

Prophet-based forecasts with confidence bands and burst detection, plus a what-if simulator for shifting traffic between models.

🛂

Guardrails & policy

Hard-cap budgets, workspace RBAC, and autonomous remediation policies that propose — and can approve — fixes on your behalf.

🧩

Open ecosystem

Python & TypeScript SDKs, a Terraform provider, an MCP server, and a VS Code extension — FinOps as code, not just a dashboard.

🌍

Enterprise-ready

Row-level multi-tenancy, workspace-scoped billing, invoice approval workflows, and a live Trust & Compliance status page.

Everything ModelWatch ships

Not just a dashboard — a full FinOps-for-AI platform, built out over nine shipped phases.

💰

Cost visibility & attribution

  • Real-time ingest across 15+ LLM & cloud AI providers
  • Per-team, per-agent, per-model chargeback & margin analysis
  • Cost-center hierarchies with spend rollups
  • Multi-currency reporting with live FX feed
🧹

Waste elimination

  • DeepWaste — 7 rule-based waste detectors
  • Installable Detection Pack marketplace
  • GPU allocation & idle-capacity reporting
  • Quality-aware model-tier optimization
🔮

Forecasting & intelligence

  • Prophet-based forecasts with confidence bands
  • Burst detection & what-if traffic simulator
  • Semantic prompt-cost intelligence
  • Commit intelligence — utilization vs. committed spend
🛂

Governance & guardrails

  • Hard-cap token budgets & spend anomaly detection
  • Real-time Gateway — inline budget & model-allowlist enforcement
  • Autonomous & approval-gated remediation policies
  • Workspace RBAC with fine-grained roles
🧾

Finance & billing

  • Stripe-backed billing & self-serve checkout
  • Invoice approval workflow with rejection reasons
  • GL export — NetSuite/SAP-compatible journal entries
  • FOCUS 1.0 FinOps Foundation-compliant data export
🧩

Open ecosystem

  • Python & TypeScript SDKs with auto-instrumentation
  • MCP server — 13 tools for AI-native workflows
  • Terraform provider for budgets, alerts & policies as code
  • VS Code / Cursor extension & Slack app
🌍

Enterprise & trust

  • Row-level multi-tenancy across every table
  • Multi-region deployment & data-residency enforcement
  • Live Trust & Compliance status dashboard
  • Google OAuth login, audit trail, encryption & rate limiting
📡

Notifications & scale

  • Slack, email & Jira alert dispatch
  • AI daily briefing delivered every morning
  • Streaming, real-time anomaly detection
  • Benchmarked at 10M+ usage records
$1.2M
MTD AI spend tracked live
15+
providers monitored
<3s
anomaly detection latency
98.7%
spend auto-attributed

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