Moduna
Show HN: Moduna –- Mixpanel for AI Agents
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What is Moduna?
Moduna is a decision intelligence tool for production AI agents. It turns real conversations from live agents into structured product evidence so teams can see what users are trying to do, where the agent breaks, and what should be built or fixed next.
It focuses on converting telemetry and conversation data into product signals such as intent clusters, unresolved demand, repeated workarounds, clarification loops, and failed handoffs. The site presents Moduna as a layer that sits on top of an existing agent stack and continuously analyzes production conversations rather than relying only on traces that may look successful.
The product is built around three steps: connect, detect, and prioritize. You connect Moduna once, it clusters conversations into goals, friction, and unmet demand, and then it ranks blind spots and opportunities by likely impact so product teams can decide what to ship next.
Moduna is aimed at teams building customer-facing AI agents, especially product, engineering, and operations groups that need clearer visibility into agent quality and user demand. The website frames it as useful for teams that want to find revenue opportunities, improve agent workflows, and create a better roadmap from real user behavior.
Moduna pricing
Pricing model: Freemium
The website does not show public pricing tiers, monthly plan names, or a free tier on the pages reviewed. It presents the product as something you can get started with in minutes and shows SDK-style setup for connecting an existing agent stack, but it does not list included limits, seats, usage caps, or paid plan features on the homepage or docs pages reviewed.
Moduna pros
- Turns live conversations into product evidence
- Focuses on production data, not demos
- Detects unmet demand and hidden opportunities
- Highlights unresolved user intents
- Surfaces repeated workarounds
- Finds clarification loops in conversations
- Flags missing handoffs
- Ranks opportunities by impact
- Shows blind spots that traces may miss
- Supports roadmap prioritization
- Clusters conversations into goals and friction
- Provides an executive summary view
- Tracks intent clusters over time
- Shows non-resolution and frustration signals
- Connects to an existing agent stack
- Offers Python SDK setup
- Supports LangChain integration
- Uses telemetry and session context
- Targets agent improvement and revenue discovery
Moduna cons
- Built for production AI agents only
- Not a general analytics platform
- Depends on quality telemetry setup
- Requires integration work before value appears
- Seems focused on conversation-based products
- Not positioned as a full customer support suite
- No clear self-serve pricing shown on the site
- No visible free trial details
- No broad framework list beyond what is shown in docs
Frequently asked questions about Moduna
What does Moduna actually do?
Moduna analyzes production conversations from AI agents and turns them into structured product signals. It is designed to reveal what users need, where the agent fails, and which opportunities or fixes should be prioritized next.
How does Moduna work?
The workflow shown on the site has three steps: connect, detect, and prioritize. First you add Moduna to the agent stack you already run, then it clusters real conversations into goals, friction, and unmet demand, and finally it ranks the blind spots and opportunities worth shipping next.
What kinds of issues can it detect?
The site says Moduna can catch unresolved intents, clarification loops, missing handoffs, and confident answers that do not actually help the user finish the job. It also highlights repeated workarounds, frustration growth, and other signals that indicate the agent is not fully resolving the user's need.
Who is Moduna for?
Moduna is aimed at teams building production AI agents, especially product, engineering, and operations teams. The messaging suggests it is most useful for people who want to turn live agent behavior into better roadmap decisions and faster product improvements.
What is the main benefit of using it?
The main benefit is clearer decision-making from real usage data. Instead of guessing what users want, Moduna shows which conversations point to real demand, which problems are recurring, and what should be improved first.
What integrations does Moduna support?
The homepage shows a Python setup example and the docs mention TypeScript and Python SDK setup. The site also says you can add Moduna to the agent stack you already run and references frameworks such as LangChain.
Does Moduna replace tracing tools?
It does not appear to be framed as a replacement for tracing tools. The site says it receives traces from the agent stack you already run and then uses conversation and session context to turn that telemetry into product signals.
How is this different from a normal analytics dashboard?
Moduna is described as a decision intelligence layer rather than a generic analytics dashboard. Its focus is on intent clusters, unresolved demand, blind spots, and recommended product improvements, not just raw metrics.
What outputs does Moduna show?
The site shows outputs such as an intent dashboard, executive summary, top opportunities, ranked recommended improvements, and an intent cluster table. It also surfaces metrics like conversations analyzed, intent clusters detected, non-resolution rate, and agent improvement opportunities found.
Is pricing publicly listed?
No public pricing details are shown on the pages reviewed. The site highlights getting started quickly and SDK-based setup, but it does not publish free tier, paid plan, or usage pricing information on the homepage or docs pages reviewed.