Moda
A monitoring and analytics layer built for AI agents. Moda turns production agent traces into validated improvements - flagging tool-call failures, timeouts and 'claimed it worked' runs, and highlighting hallucinations, user frustration and prompt-injection attempts. Trace-first drilldowns go from a metric straight to the messages that caused it. YC 2026.
Work at Moda? Manage this listing
Our take
A monitoring and analytics layer built for AI agents. Moda turns production traces into fixes - flagging tool-call failures, timeouts and 'claimed it worked' runs, and surfacing hallucinations, user frustration and prompt-injection attempts. Trace-first drilldowns jump from a metric to the exact messages that caused it. YC 2026; small, early team.
Best for
Teams running AI agents in production who need to see why runs fail, not just token counts.
Pros
- Built for agents, not generic LLM logging
- Flags silent failures and 'claimed it worked' runs
- Trace-first drilldown from metric to messages
- Surfaces hallucinations and prompt injection
Cons
- Very early (founded 2025, tiny team)
- Crowded LLM-observability space
- Pricing not clearly public
How it compares
Against general LLM-logging dashboards, Moda focuses on agent-specific failure modes and decision traces rather than latency and token charts alone.
Full review
Moda is a reliability and monitoring layer built specifically for AI agents. It turns production agent traces into validated improvements, helping teams find where a run broke, why it failed, and whether the cause was the prompt, tools, workflow, memory, model or product logic.
Its failure detection flags tool-call errors, timeouts and runs that claimed success but didn't deliver, while quality and safety signals highlight hallucinations, user frustration and prompt-injection attempts. Trace-first drilldowns let you click from a metric or alert straight to the exact messages and tool calls behind it. Founded in 2025, Moda is part of Y Combinator's Winter 2026 batch.
Cloudkart Trust Graph
3.4/5- Actual Utility4/5
Source: Initial LLM-authored rubric (backfill)
- Ease of Use4/5
Source: Initial LLM-authored rubric (backfill)
- Pricing Fairness3/5
Source: Initial LLM-authored rubric (backfill)
- Reliability3/5
Source: Initial LLM-authored rubric (backfill)
- Differentiation3/5
Source: Initial LLM-authored rubric (backfill)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 3.4/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Moda free, and how much does it cost?
- Moda has a free tier, with paid plans that unlock advanced features.
- Who is Moda best for?
- Teams running AI agents in production who need to see why runs fail, not just token counts.
- How is Moda rated on Cloudkart.ai?
- Moda scores 3.4 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Moda works for you.
Relevant tools
More tools in Data & Analytics AI.
Streamlit
Open-source Python framework for building and sharing interactive data and AI/ML apps with minimal front-end code.
Langfuse
Langfuse is an open-source AI engineering platform for building and operating LLM applications. It brings together observability and tracing, evaluations, prompt management, datasets, an annotation workflow and a prompt playground, and integrates with OpenTelemetry, LangChain, the OpenAI SDK, LiteLLM and more. A Y Combinator (W23) company, it moved every product feature to the MIT license in 2025, so the only commercial pieces are thin enterprise-compliance add-ons such as SCIM, audit logs and project-level RBAC. The cloud free tier covers 50,000 units a month, with a $29/month Core plan for production traffic and higher tiers for longer retention and SOC 2/ISO reports. In January 2026 ClickHouse acquired Langfuse and publicly committed to keeping the MIT license and avoiding new pricing gates.
Metabase
Open-source business-intelligence and embedded-analytics tool with a no-code query builder usable with or without SQL.
Lightdash
AI-first, open-source BI platform that is dbt-native, reading metric definitions directly from your dbt project.
Compare Moda head-to-head: vs Streamlit · vs Langfuse · vs Metabase · vs Lightdash