Turn AI conversations into actionable insights

Discover feature requests 

automatically from your existing AI agent interactions.
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Top feature requests

Analyzed 2.4k conversations in the last 7 days

Get data from URL

+18%

37 requests last week

Create event in Google Calendar

+11%

22 requests last week

Showing top requests from 18 tracked insights

Feature Requests

Prioritize the features your users ask for most

AgentLens surfaces the exact capabilities your AI agent is missing, so lean teams can ship high-impact improvements without wading through thousands of chat transcripts.

User sentiment

Analyzed 5.8k conversations in the last 30 days

Satisfied83%Neutral11%Dissatisfied6%
User Satisfaction

Track satisfaction shifts as they happen

Most users never leave a rating. AgentLens automatically analyzes sentiment in every conversation across your AI agent flows, revealing which launches delight users and where they hit friction points, whether they click thumbs up or not.

Most dissatisfied users

Analyzed 3.1k conversations in the last 7 days

sarah@draftly.io

Score: 8.4+2.1

marcus@storybeam.com

Score: 7.8+0.8

Showing top 4 users from 27 dissatisfied users

Prevent Churn

Catch churn signals while there’s time to act

AgentLens surfaces users showing signs of frustration by analyzing conversation patterns. See exactly who's struggling and why, so you can reach out proactively and turn dissatisfaction into retention.

Support topics

Custom

Product features users discussed with support agent

Webhook reliability

AI
+22%

89 mentions last week

Pricing questions

+8%

76 mentions last week

1 AI-detected topics · 2 predefined topics

Custom Insights

Track what matters to your business

Go beyond built-in analytics. Define custom metrics tailored to your product, then let AI automatically discover patterns and topics you didn't even know to look for.

Get integrated in minutes

Wrap your LLM calls with AgentLens. Start getting actionable product insights immediately.

import OpenAI from "openai"; import { withAgentLens } from 'agentlens'; const clientOpenAI = new OpenAI(); // Wrap the original client const client = withAgentLens(clientOpenAI); const response = await client.responses.create({ model: "gpt-5", input: "Write a one-sentence bedtime story about a unicorn.", // Add conversation ID to connect messages into a conversation agentlensConversationId: "your_conversation_id" });

Users already tell you what they need.
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