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Reviewed · Updated 2026-06-19

Agentops

AgentOps is an observability, debugging, and cost-tracking platform for AI agents, wrapping any LLM or agent framework to provide session replay and token-cost tracking.

Reviewed by the Conversion Gems editorial team ·
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Pricing
Paid
Best for
AI Developers
Category
AI Agent Builders
The bottom line

The go-to observability layer for multi-agent AI apps — fast to add, hard to live without once you've debugged agents in production.

8.1
Our score
8.1 / 10
Conversion Gems editorial verdict
Free up to 5K events; Pro from $40/mo
Features8/10
8 - session replay, time-travel debugging, cost tracking, prompt-injection detection, 400+ LLM support; no deployment or orchestration features.
Value8/10
8 - free tier is genuine; $40/mo Pro is competitive for unlimited observability; Enterprise pricing is opaque.
Ease of use9/10
9 - two-line SDK setup, auto-integrates with major frameworks; near-zero configuration for core value.
Ecosystem8/10
8 - 400+ LLMs, CrewAI, Autogen, OpenAI, Microsoft, Google; self-hosting on all major clouds at Enterprise tier.
Support7/10
7 - standard docs and community on free/Pro; dedicated Slack Connect and SLA only on Enterprise.

Community ratings

4.7/ 5 aggregate · across 1 source
G2
4.720+ reviews

Third-party ratings shown verbatim; aggregate weighted by review volume.

What it really is

AgentOps — AI agent observability, debugging, and cost-tracking platform for developers.

Our take

AgentOps is primarily an observability and debugging SDK, not a deployment or task-automation platform as the DB summary suggests. It wraps any LLM or agent framework in ~2 lines of code to give session replay, time-travel debugging, and token-cost tracking across 400+ models. DB also listed pricing as 'Custom/Paid' — there is a genuine free tier (5,000 events/mo) and a Pro plan at $40/mo; custom pricing only applies to Enterprise.

Why we rate it

Two-line SDK integration instantly surfaces session replays, multi-agent interaction graphs, and live cost breakdowns with near-zero friction. The time-travel debugger is genuinely unique in the agent observability space and pays for itself on the first tricky production bug.

The catch

Free tier caps at 5,000 events/month — a moderately active agent can burn through that quickly. Enterprise self-hosting and compliance features require custom negotiation with no public price anchor.

Best for
Developers debugging complex multi-agent AI workflows in production
Teams tracking LLM token costs across many concurrent agents
Organizations needing a compliance-ready (SOC-2/HIPAA) agent observability layer
Not good for
No-code users building simple automations who don't write agent code
Teams needing a standalone agent deployment or orchestration platform
Very high-volume free users — 5K event cap exhausts fast
Friction report
Time to value
Fast: two-line SDK installation and first session replay visible within minutes of first agent run.
Scale breakpoint
Pro flat rate ($40/mo) is cost-effective for most teams; the jump to Enterprise (undisclosed price) is the hard breakpoint for compliance or self-hosting needs.
Walled garden
Low: open SDK, data exportable, no proprietary agent runtime lock-in.

Frequently Asked Questions

Alternatives

Step up

LangSmith or Arize Phoenix for teams needing deeper ML evaluation pipelines alongside observability.

Lighter alternative

Langfuse (open-source) for self-hosted, cost-free LLM tracing with no event caps.

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Tags

#AIAgents#AIWorkflowAutomation#AgentFramework

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