Sentrial: Production Monitoring for AI Agents

What Sentrial Does

Sentrial is production monitoring specifically for AI products. It automatically detects failure patterns as they happen, including loops, hallucinations, tool misuse, and user frustrations. When issues surface, it diagnoses the root cause by analyzing conversation patterns, model outputs, and tool interactions, then recommends specific fixes.

The Problem It Solves

When AI agents fail, choose wrong tools, or exceed cost budgets, there's typically no way to know why - just logs and guesswork. As agents move from demos to production with real SLAs and real users, this becomes unsustainable. Examples from the founders' experience include:

• A support agent that began misclassifying refund requests as product questions, preventing customers from reaching the refund flow
• A document drafting agent that would occasionally hallucinate missing sections when parsing long specs, producing confident but incorrect outputs

There's no stack trace or 500 error - you only discover these issues when customers complain.

How It Works

You wrap your client with Sentrial's SDK in only a couple of lines. From there, it detects drift including:

• Wrong tool invocations
• Misunderstood intents
• Hallucinations
• Quality regressions over time

You see issues on their platform before customers file tickets.

Setup and Access

There's a quick MCP setup available with the command: claude mcp add --transport http Sentrial https://www.sentrial.com/docs/mcp

Sentrial offers a free tier with 14 days of access, no credit card required. The tool is designed for anyone running AI agents, whether for personal use or within professional settings.