F
just run that shit
TRANSPARENT PRICING • NO BULLSHIT

Pay for real private audits.
Not theater.

Free tier for demos and public replication. Paid tiers for production evidence using your models and keys.

FREE

Public Demo

$0
Instant • No key
  • Heuristic simulator
  • 6 scenarios max
  • Public results
  • Basic JSON export
  • See the 35% DeepSeek report
RUN FREE DEMO
ONE-OFF • MOST POPULAR

Private Production Run

$199
One-time • Your keys • Full report
  • Real LLM calls (your key)
  • Up to 30 scenarios, seed + temp 0
  • Results private to you
  • Full raw JSON + logs
  • PDF + HTML report (branded)
  • 30-day dashboard access
PAY $199 — BOOK
ENTERPRISE

Unlimited + White Label

$999/mo
Per month • Teams & Labs
  • Unlimited private audits
  • Custom templates + scenarios
  • White-label reports
  • Team dashboard + API
  • Quarterly review call
  • On-prem available
START ENTERPRISE
SECURE CHECKOUT • POWERED BY STRIPE

Ready for a private audit?

Both tiers live on Stripe. After payment we email your private run link + key upload form.

PAY WITH STRIPE — $199 ONE-TIME SUBSCRIBE — $999/MO ENTERPRISE
Cards, Apple Pay, Google Pay • Secure hosted checkout
Prefer invoice / wire / crypto? Email us
FAQ / TRUST

Answers before you pay.

What do I get for $199?

A complete paired audit (observed vs private) on up to 30 dilemmas using the exact method that produced the 35% DeepSeek result. Raw prompts + responses, action matrix, freedom-delta, polished report. Private by default.

How private is "private"?

One-off: processed with your key ephemerally, deleted after delivery unless you opt into the dashboard. Enterprise: full data residency control + contract. We never log prompts for training or resale.

Can I use my own models?

Yes. Any litellm-supported provider (OpenAI, Anthropic, DeepSeek, Grok, vLLM, Together, Fireworks). Bring your key, or custom base URL for private clusters.

Enterprise vs one-off?

One-off = single high-stakes release audit. Enterprise = continuous red-teaming, eval integration, custom scenario libraries, white-label deliverables for regulators/investors.

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