| What it does | Citations, built for AI agents
| Independent verification for bug fixes in C, C++ and firmware
|
|---|
| Stage | Not given
| MVP
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Not given
|
|---|
| Pricing | Free tier for small requests with no API key required; 10 million free tokens to start; $1 per million tokens for pay-as-you-go, with discounts available at volume or with annual commitments; failed requests are never charged.
| Not given
|
|---|
| Key features | - Token-level attribution with confidence scores
- Works with any AI model without access to weights or internals
- Processes documents up to 1 million tokens
- Returns results in under 2 seconds for 20,000-token documents
- On-premise and air-gapped deployment options
- PDF support with character-level mapping
- Supports 23+ languages including Indian languages
- Chrome browser extension for page and PDF tracing
- Raw token-by-token heatmaps available via API
- No data logging or training on request content
| - Reproduces bugs deterministically on base version before applying fix
- Verifies fix removal confirms bug returns
- Scans diffs for masking patterns like disabled sanitizers and weakened tests
- Runs on real hardware via STM32 NUCLEO boards and ST-Link
- Integrates with AI coding agents as MCP tool
- Posts verdicts as GitHub pull request comments
- Provides per-test verdicts: FIXED, BROKEN, FLAKY ON THE BENCH, FLAKY WORSE
- Runs entirely on your machines with no cloud dependency
- Generates reports for change records and regulatory compliance
- Runs builds and tests in Linux container on your machine
|
|---|
| What makes it different | - Measures attention directly from the model's computation rather than asking the model to cite itself, providing verifiable attribution
- Achieves frontier-grade citation quality at 7x lower cost and 5-6x faster than alternatives
- Never confused by duplicate facts—identifies the exact occurrence the answer used even when values appear multiple times
- Lands on exact tokens down to character level, not just document chunks
- Works on any model's output post-generation without modifying inference pipeline
| - Only verification tool that reverses the fix to prove tests actually catch the bug
- Deterministic verdict with no AI language model in decision logic
- Tests on real hardware boards, not just laptops
- Detects masking techniques that hide bugs while passing tests
- Validated public benchmark showing 4 VERIFIED and 6 REJECTED on real open-source bugs
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 3 | 0 |
|---|
| Citation Flow (Majestic) | 16 | 0 |
|---|
| Referring domains (Majestic) | 36 | 0 |
|---|
TokenPath
Unfix