Agent Analytics

Know that your AI agents deliver value.

Agent Analytics connects prompts, conversations, and traces to real product behavior, so you can find what fails, improve what matters, and prove your agents drive adoption, retention, and ROI.

Why we built Agent Analytics
The observability gap

Engineering can see if the agent is running. Product can't see if it's helping. You need both.

Evals help engineering define a correct response, but they don't show what users do in the wild. Product teams need to see who adopts the agent, where users give up, and whether outcomes improve. Agent Analytics connects evals and technical signals to real product behavior, helping teams catch issues and prove ROI.

See the full agent experience, and everything around it.

Your users move between agents and interfaces. Pendo connects what they asked, how the agent responded, and what happened next across the product, so you can measure success and fix the experience with evidence.

A Claude window: someone asks what people are asking the support agent this month, and a Pendo MCP call to get_agent_use_cases returns 8,410 conversations clustered into use cases without tagging — tracking a refund status at 2,140 conversations and up 12%, cancelling a subscription at 980 and new, exporting invoices at 610 and new, and returns at 430 and down 8% — followed by the note that cancellations and invoice exports are unsupported today.

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New to Pendo? See how Agent Analytics fits your AI stack.
Capabilities

Analytics for every agent builder.

Measure every layer of agent activity, from account-level trends down to a single failed tool call, without stitching together dashboards.

Analyze conversations

Find the use cases, intents, and patterns shaping agent demand.

Detect user rage

Catch repeat prompts, all-caps, profanity, and other signals of mounting frustration.

Automatically diagnose and fix issues

Turn a flagged issue into a fix brief through the Agent Repair skill and Pendo MCP server. Hand it to a coding agent or file it as a ticket.

Track adoption

See who returns, who drops off, and where visitor or account adoption gaps are forming.

See what users do next

Connect agent interactions to paths, funnels, retention, and product outcomes.

Spot unsupported requests

Rank what users ask for that your agent cannot deliver yet, and turn it into roadmap input.

Trace every response

Review the models, tools, subagents, latency, tokens, and cost behind an answer.

Compare workflows

Measure whether agentic or traditional paths get users to the outcome faster and more often.

Watch the moment it broke

Open Session Replay from the conversation to see the product context around a failure.

Test improvements with Experiments

Compare agent versions, models, prompts, or tools against real user outcomes, not synthetic evals.

Get updates where you work

Send scheduled Agent Analytics digests to Slack or Microsoft Teams so key metrics and emerging issues show up in your team’s channels.

Ready to see Agent Analytics in action?

Bring a use case. We’ll show you how Pendo finds adoption gaps, failed conversations, and proof of impact.

Pendo for Agents

Pair product context with proof.

Agent Toolkit feeds real-time Pendo context into the agents you build or buy, so they can personalize responses and step in when users struggle. Agent Analytics shows whether those interventions work.

  • Power and act.

    Give agents behavioral and account context, then trigger help at the moment a user needs it.

  • Observe and improve.

    Measure adoption, use cases, failures, and business impact across every agent you instrument.

One view for every team accountable for agent outcomes.

For product and AI teams

Prioritize the roadmap from real agent behavior.

  • Prioritize with evidence. Turn real use cases, issues, adoption patterns, and downstream results into roadmap changes.
For CX and IT teams

Prove support and employee agents earn their keep.

  • Justify the investment. See whether support and employee agents resolve more, escalate less, and earn the investment.

See Agent Analytics on your own agent.

Bring a use case. We’ll show you how Pendo finds adoption gaps, failed conversations, and proof of impact.

Security, Privacy, and Trust

Measure agents without losing control of the data.

Choose prompts-only or full-conversation capture, manage access by role, and redact 14 sensitive-data categories for each agent. Pendo protects Agent Analytics data with the same security and privacy practices used across the platform.

See security details

SOC 2 Type II

ISO 27001

GDPR

HIPAA

What's next

Built for where agentic experiences are headed,
not just where they are today.

Agents are moving past the chat window, and Agent Analytics is moving with them.

  • Autonomous Agent Analytics

    Measure agents that act without a conversational interface, including agent-to-agent and background workflows, the same way you measure adoption and issues today.

  • MCP Analytics

    See what's happening on the other side of your MCP servers: which tools get called, by which agents, how often, and where requests fail or slow down. Built for teams exposing data or actions through MCP, not just the teams consuming it.

See what your agents are actually doing for users.

Monitor adoption, issues, use cases, and business impact in one walkthrough.