AgentOps
Observability for AI agents
Overview
AgentOps provides observability tooling purpose-built for AI agents — tracks tool calls, costs, agent traces, replay capability. SDK-based; works with LangChain, CrewAI, AutoGen and others.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
AgentOps in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
AgentOps is a developer-focused observability platform for AI agents, offering session replay, tracing, cost and token tracking, and debugging across popular agent frameworks. As teams move agents toward production, this kind of monitoring fills a real gap — you can see why an agent failed, how much it cost, and where it looped, with minimal SDK setup.
It is a young product in a fast-moving category, so feature depth and integrations are still maturing against larger LLM-observability players. Its value is highest for teams actively shipping multi-step agents rather than simple single-call apps. Being a developer SDK, it is globally accessible including ASEAN, with a genuine code-first API. A sensible pick if agent reliability is becoming your bottleneck.
About this listing
This entry was compiled from publicly available data including AgentOps's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with AgentOps unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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