Visibility into agent and MCP failuresthat actually hit users

Reduce failures, respond faster, and prioritize the improvements that make your AI product reliable.

WE VERIFY AND OBSERVE AI AGENTS BUILT ON:

AnthropicOpenAIGoogleAWSHugging FaceLangChainElevenLabsn8nPerplexityDatadogMetaVercel

12,700+

monitored agents

21 million+

lifetime probe units

4,300+

control-enrolled nodes

115

countries represented

Stand out from the pack. With Independent Proof.

Live demo walkthrough

Not procurement-ready
Can you show the return flow again?
Sure. In our staging environment it looks like this…

Staging · Internal narrative · No independent record

Demos aren't enough.

Buyers need proof it works in production, not another walkthrough.

Over 48 hours, the agent held [stable] policy answers across seven regions. One escalation path fired [correctly] when inventory was missing, then recovered [without hallucination].

Independent evidence buyers can keep.

A shareable record procurement can review, not a screenshot from your own dashboard.

Connect the agent or MCP.

Choose chat, voice, or MCP, then provide the agent or MCP details, broad job type, and interval. Automatic discovery starts after registration.

Register endpoint

Connect an AI agent or MCP server

Ready to connect

Monitoring type

Chat-based
Voice-based
MCP

Primary job type

GeneralCommerceSupportTask

Integration type

OpenAI-compatible

Endpoint URL

https://agent.example.com/support

Check every

15 minutes

Alerts & thresholds

Down · Degraded · Recovery

Know where it is reachable.

Record connection success, response time, and regional differences from selected external networks.

Testing reachability

Customer support agent

Observations from selected residential networks

Virginia, US

Response time

428 ms

Dublin, IE

Response time

512 ms

Singapore, SG

Response time

846 ms

São Paulo, BR

Response time

1.2 s

We test your production agent like a customer.

Then we preserve the result for customer review.

Observed interaction

Residential checks for the customer return path.

All checked steps held

1

Policy check

Can the customer return an order delivered 18 days ago?

Passed

Evidence

30-day return policy followed

2

Create return

Start a return for order #4821.

Passed

Evidence

Return RT-4821 created

3

Issue label

Create the shipping label for this return.

Passed

Evidence

Shipping label issued

See what changed.

Compare stored response previews and verdict histories across runs, regions, and releases.

Day-by-day · Last 9 days (UTC)

8/218/228/238/248/258/268/278/288/29
Overall pass rate99%98%97%100%100%99%99%100%100%
Reach OK99%98%97%100%100%99%99%100%100%
Response time2.0s967ms1.1s1.8s4.2s2.9s3.4s
Job completed100%98%100%97%100%100%
Policy followed100%100%100%100%92%100%100%
Tool execution99%100%100%98%100%
Required action100%97%100%100%99%100%

Cooler = better for that row · Hotter = worse · Empty = no data that day

CoolerHotter

Keep the record.

Preserve tested conditions, observations, verdicts, timestamps, and methodology for external review.

AgentStatus validation

Independent record

Return support agent

Observed from residential nodes under recorded conditions. Ready for external review.

Last 7 days4 regionsMethodology included

AS-20418 · PASSED

Validate the AI agent or MCP server before someone else has to question it.

Present an independent record of tested conditions, observations, and verdicts when an enterprise customer or integrator asks for evidence.

Validate an agent or MCP server