Moda

Moda is a Coding & Development tool that helps understand AI agent behavior. It automatically analyzes production conversations to surface user intents, agent failures, and frustration.

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At a glance

Pricing

Likely Not Free

Free tier

API

Yes

Skill level

Technical

About

What is Moda?

Moda is an AI agent observability platform designed to automatically analyze production conversations to surface user intents, agent failures, and user frustration. It goes beyond traditional monitoring by identifying behavioral failures like hallucination, context forgetting, and tool misuse that standard logs often miss. Moda automatically segments conversations by topic, clusters them into hierarchical taxonomies of user intents without manual tagging, and detects emerging patterns. It also tracks frustration signals, tracing them to root causes with actionable insights, rather than just sentiment scores. The platform offers a fully automatic, zero-configuration ML pipeline for analysis, integrating with any LLM provider via a 3-line SDK.

Best used for

Ideal for developers and product managers who need to understand what their AI agents are actually doing, identify where agents fail behaviorally, and pinpoint why users get frustrated. Especially valuable for automatically discovering user intents and debugging silent agent failures that traditional monitoring misses.

Common actions

monitor AI agents

debug AI failures

analyze user intent

detect user frustration

understand agent behavior

Capabilities

Key features

User intent clustering
Behavioral failure detection
Frustration root cause analysis
Hierarchical conversation taxonomy
OpenTelemetry native integration
Automatic topic segmentation

Target Audience

developerproduct manager

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check modaflows.com for current pricing.

FAQs

How does Moda detect behavioral failures in AI agents?

Moda goes beyond traditional error logs by identifying issues like agents hallucinating actions, forgetting context, or ignoring available tools. It uses a multi-stage ML pipeline to analyze conversations and detect these 'silent' failures automatically, providing confidence scores for each detection.

Can Moda help understand user frustration beyond sentiment analysis?

Yes, Moda detects frustration signals in conversations and traces them to specific root causes, rather than just providing sentiment scores. It tracks frustration trajectories (building, peaking, resolved) and clusters similar frustration patterns to highlight systemic issues.

Is Moda compatible with different LLM providers?

Moda is designed to be LLM provider agnostic. It offers a 3-line SDK integration that works with any LLM provider, allowing users to debug and gain insights from their AI agents regardless of the underlying model.

Trending

Subcategories trending in Coding & Development

Open Source & Models Code Assistants No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

AI Agents & Automation › Chatbots & Conversational AI Customer Support & CX › Quality Assurance AI Agents & Automation › Workflow Agents Productivity & Business › Workflow Automation

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