| What it does | Citations, built for AI agents
| Reliability monitoring for autonomous agent systems
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Paid
|
|---|
| 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.
| Fixed-fee pilot of about a month credited against the first year if continuing. Annual subscription after pilot in three tiers: Map, Gate, or Continuous.
|
|---|
| 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
| - Detects agents built but never connected
- Identifies work that silently stops between agents
- Catches judges that grade incorrectly
- Prevents changes shipping past broken tests
- Detects identity and data drift
- Measures self-repair behavior
- Works with any model and framework
- Read-only connector with no system changes
- Deployment pipeline gate with pass/fail status
- Encrypted data transmission and on-premises options
|
|---|
| 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
| - Finds failures that never raise an alarm
- Built and proven on real production systems, not theory
- Read-only connector never changes your system
- Works with any model without depending on model vendor
- First findings within a week of pilot start
|
|---|
| 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
Obsilient