Number 1: 
Ora
Make your site work for agents
- AI testing & review
- United States
- DR 64 +1 (up) since last check
AI testing & review
Obsilient
Reliability monitoring for autonomous agent systems
- Community votes
- 0
- DR by Ahrefs
- 0 no change since last check
Ahrefs Domain Rating benchmarked 9 Nov 2026, rebuilt 9 Nov 2026.
A monitoring system that detects silent failures in autonomous agent systems, including disconnected agents, stopped workflows, incorrect judgments, and
What it is
Obsilient detects the silent failures in autonomous agent systems that traditional monitoring misses. It identifies agents built but never connected, work that silently stops between agents, judges that grade incorrectly, changes that ship past broken tests, identity and data drift, and self-repairs that go unmeasured.
The system is delivered as a service with a small read-only connector installed in the customer's environment. It extracts structural facts and counts about the system, sends them encrypted to Obsilient's engine, and returns findings and a gate status for the deployment pipeline. The connector never runs the agents, never changes the system, and every fix remains the customer's decision.
Obsilient was built and proven on real-world autonomous systems running in production, not in theory or benchmarks. It works with any model (hosted, open, or custom), any framework, and only reads how the system is built and run, not what the model outputs.
What it is built with
- 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
Pricing
Pricing model: Paid
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.
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Obsilient metrics
| Metric | Value |
|---|---|
| Domain Rating | 0 no change since last check |
| Trust Flow | 0 no change since last check |
| Citation Flow | 0 no change since last check |
| Referring domains | 0 no change since last check |
| External backlinks | 0 no change since last check |
Ahrefs Domain Rating benchmarked 9 Nov 2026, rebuilt 9 Nov 2026. Majestic benchmarked 9 Nov 2026, rebuilt 9 Nov 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Obsilient domain build sheet
Open the build sheet
| Domain age | 12 days |
|---|---|
| Registered | |
| Expires | |
| Registrar | Cloudflare, Inc |
| DNSSEC | Not signed |
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Questions from the bench
- Can we run Obsilient ourselves?
- The engine is delivered as a service, so you only install a small, read-only connector. For teams that cannot send anything out of their environment, there is an on-premises option: a signed container under a time-limited licence.
- What happens when we stop using Obsilient?
- The connector comes out with one command, data it sent is deleted within the agreed window with written confirmation, and you keep every report and finding. The licence lapses and the gate switches off without blocking your deploys.
- Which models and frameworks does it work with?
- It works with any model (hosted, open, or your own) because it reads how your system is built and run, not what the model says. Currently it reads agent systems written in Python, whether built on a framework or plain code.
- Does Obsilient change our system?
- No. The connector is read-only and never runs your code or agents. The only addition is the gate on your change path, which you decide whether a fail blocks a change or only warns. Every fix stays your decision.
- What does the connector send?
- The structure of your system, which components exist and how they connect, and counts of how much work passed through each. Never source code, prompts, model outputs, your data or your credentials.
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