Why do I need Agnost AI if I already have standard observability and tracing?

Standard traces often report a successful 200 OK status even when the agent fails to deliver useful answers. Agnost AI reads every trace alongside full user conversations to identify silent failures, such as unperformed actions or incorrect answers.

How does Agnost AI integrate with existing agents?

Integration takes minimal setup without needing to rebuild agent logic. You can connect existing events and conversations using the Agnost AI SDK, lightweight 3-line skills, or an OpenTelemetry exporter.

How does Agnost AI handle sensitive user data and security?

Agnost AI processes the raw data sent to it over HTTPS with authenticated access. Users are advised to send pseudonymous IDs and redact sensitive fields prior to ingestion. Dedicated deployment setups and VPC options are available on custom plans.

Which frameworks and models does Agnost AI support?

Agnost AI is model-agnostic and framework-agnostic. It works with any conversational, chat, or voice AI agent built on standard frameworks via OpenTelemetry or direct API/SDK integration.

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Scheduled launch — Aug 26, 2026

Agnost AI is listed on AI Kaptan and will enter the daily launch competition on that day. Community upvotes open on launch day.

Developer Tools

Freemium

Agnost AI

Product analytics and monitoring platform for AI agents to catch silent failures, behavior drift, quality violations, and user frustration in production interactions.

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Rating

Reviews

Upvotes

about 2 hours ago

Listed

Analytics

Developer Tools

Artificial Intelligence

Observability tools

LLM Developer Tools

Tool information

Provider

Agnost AI

Platforms

Web

Languages

English

API Available

Yes

Added to directory

about 2 hours ago

Last updated

about 2 hours ago

Rating

Not available

Pricing

Freemium

About Agnost AI

What the tool does and who it's for

Agnost AI is a production monitoring and product analytics platform for AI agents. It analyzes real user interactions, chat transcripts, voice sessions, and traces to uncover silent failures, agent behavior drift, quality violations, user frustration, and hidden churn risks that standard offline evaluation suites miss. By integrating via OpenTelemetry or developer SDKs, Agnost AI maps recurring failure patterns directly back to the underlying tool calls and events, helping engineering teams generate targeted evals, automated self-improvement suggestions, and code fixes.

Key capabilities

Silent failure detection to catch hallucinated responses, broken tool execution, and unfulfilled promises.

Intent and sentiment analysis automatically discovered across real production interactions.

Quality, policy, and compliance violation monitoring linked directly to exact conversation traces.

User friction and churn tracking to spot rage-prompting, repeated prompts, and drop-offs.

Automatic pattern grouping connecting recurring failures to specific users and sessions.

Self-improvement suggestions and automated pull request generation to resolve identified issues.

OpenTelemetry and SDK support compatible with any LLM model or agent framework.

Real-time alerting for silent failures and rising friction in early or high-volume production deployments.

Pricing

Freemium — plans below

Free

$0/mo

Intents and sentiment discovered automatically
Violations across quality, policy, and compliance
Alerts for silent failures and rising friction
Self-improvement suggestions for your agent
Up to 1,000 events / mo
7-day data retention

Starter

$49/mo

Everything in Free
Up to 10,000 events / mo
30-day data retention
Onboarding help

Pro

Custom

Contact sales

Everything in Pro
Custom event volume & retention
Self-hosted VPC deployments
Audit logs
Custom SLAs & SLOs
Custom improvement workflows

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