CostGuardAI

Know before you send.

Catch risky, expensive AI prompts before they ship.

CostGuardAI scans prompts and AI workflows for jailbreak risk, ambiguity, hallucination risk, and cost blowups — before they hit production.

Quick install
$ npm install -g @camj78/costguardai
$ costguardai analyze prompt.txt

Get a CostGuardAI Safety Score, top risks, and fix recommendations in seconds.

OpenAIexactAnthropic±5–8%Gemini±5–8%
APICLICI/CD

Why developers trust CostGuard

Versioned Safety Score

Benchmark-calibrated scoring with published methodology.

Prompt CVE Intelligence

Detects known prompt vulnerability patterns with PCVE tracking.

Privacy-Safe Analysis

No raw prompts stored. Only anonymized structural fingerprints retained.

AI Cost Disaster Gallery

5 real prompt failure patterns, before and after.

Token explosion, prompt injection, runaway tool calls — see how CostGuardAI catches them before deploy.

View examples →
Input·Analyze·Review·Ship
0 chars
512 tokens
256
16,384

Paste a prompt above

Token count, cost estimate, and CostGuardAI Safety Score appear as you type — no account needed.

Exact counts for OpenAI modelsEstimated for Anthropic, Google, Meta1-click compression saves tokens

How Preflight Works

1

Analyze

Estimate tokens, cost, compression, and risk before deployment.

2

Simulate

Adjust output length and compare models to understand scale impact.

3

Deploy Safely

Ship with predictable cost and reduced production risk.

Why This Matters

Token Overflow

Truncation → broken outputs → silent failure in production.

Cost Drift

Margins collapse at scale when token usage expands unnoticed.

CostGuardAI Safety Score

Signal of production instability — not legal advice, just operational risk.

Drift Tracking

Monitor token and cost drift across model versions over time.

Batch Analysis

Run preflight checks on multiple prompts simultaneously.

Model Comparison

Compare cost and risk across models before committing to one.

Who This Is For

AI SaaS Founders

Shipping prompts into production and need cost + failure visibility before scaling.

Product & ML Teams

Monitoring token usage and drift across models and deployments.

AI Infrastructure Engineers

Preventing overflow, runaway costs, and silent degradation.

Pricing

Built for teams shipping AI into production.

Free

Start analyzing prompts today.

$0forever

No card required.

  • Single preflight
  • Token + cost + risk
  • Manual usage
Start Free
Most Popular

Pro

For developers shipping AI into production.

$29/ month

Cancel anytime.

  • Unlimited preflights
  • Model comparison matrix
  • Historical drift tracking
  • Batch analysis
Upgrade to Pro

Team

Coming Soon

For teams monitoring AI in production.

$79/ month
  • Team dashboard
  • Shared alerts
  • Repository monitoring
  • Slack alerts
  • Multi-user access