| What it does | Test LLMs on your own tasks before you switch models
| Anti-cheat for online assessments
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Paid
| Not given
|
|---|
| Pricing | Standard: $99 one-time for 2 machines, including 1 year of updates. Pro coming soon.
| Not given
|
|---|
| Key features | - Benchmark any OpenRouter model on your own prompts, CSVs or Hugging Face datasets
- Rubric-based scoring by AI judge, by hand, or both
- Cost per answered task with retries and caching
- Time to first token and output tokens per second per call
- Shareable reports in HTML, CSV and JSON formats
- Compare up to three past benchmarks side by side
- Hard spending cap per run
- Fully self-hosted on your machine
- No SDK or code changes required
| - Tab-focus, copy/paste, fullscreen-exit and single-face checks via webcam
- Phone observer for second angle detection
- Desktop lockdown with kiosk mode and keyboard hook
- On-device processing with MediaPipe classifiers
- Evidence control options: none, thumbnails, or short clips
- Server-authoritative verdict system
- Webhook notifications for threshold crossings
- GDPR, FERPA and BIPA compliance by design
|
|---|
| What makes it different | - Tests your own tasks with real data instead of generic benchmarks
- Comes before integration with no SDK or code changes needed
- Reports actual cost per answered task including retries and caching
- Entirely self-hosted with data never leaving your machine
- One shareable report with every answer and judge reasoning
| - Runs entirely on-device; video never leaves the device unless explicitly captured
- No ML training or camera pipeline required to get started
- Three flexible assurance tiers for different exam stakes
- Privacy-first design with explicit consent and evidence minimization
- Integration in under five minutes with one API call
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 0 |
|---|
| Citation Flow (Majestic) | 16 | 0 |
|---|
| Referring domains (Majestic) | 3 | 0 |
|---|
orbench
Procteye Integrity SDK