meshIQ

Govern and monitor enterprise data in motion, messaging queues, and autonomous AI agents

Pricing model

Demo

Rating

★ People love it

Time to value

Requires Expertise

You can use meshIQ to monitor and manage messaging middleware, data in motion, and autonomous AI agents across your enterprise. The system tracks messages and transaction dependencies across brokers like Apache Kafka, IBM MQ, and ActiveMQ. You can discover unmanaged AI agents, inspect their actions, enforce access policies before execution, and audit every prompt or tool call. It also diagnoses queue backlogs in plain language, proposes remediation fixes, and assists in migrating legacy integration configurations to modern open-source messaging stacks.

What meshIQ does

Track queue depth and latency across messaging brokersBlock unauthorized tool calls initiated by autonomous AI agentsReplay failed transactions through messaging pipelinesGenerate compliance audit reports for AI agent operationsConvert legacy queue configurations into cloud-ready broker formatsInspect live message payloads to isolate processing bottlenecksRestart or scale messaging consumers based on backlog alertsMonitors queues and topics across Kafka, IBM MQ, ActiveMQ, and SolaceDiscovers and catalogs AI agents, MCP servers, and tool credentialsEnforces action-level policies before AI agents execute tasksLogs attributable and replayable audit trails for every agent actionCorrelates cross-system telemetry to identify stuck payment transactionsAutomates configuration and topology conversion for legacy middleware migrationValidates parallel runs message-for-message before broker cutover