Agentry

    Agentry

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    Category:Artificial Intelligence
    Pricing:Freemium
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    June 25, 2026
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    Agentry

    AI agent analytics and error monitoring. Debug failures, analyze user behavior, and automate fixes with real production data.

    General Information about Agentry

    Agentry is a product analytics and error monitoring platform designed specifically for use by artificial intelligence agents. Unlike traditional observability tools oriented toward human visualization in dashboards, this solution provides a production context layer that allows coding agents to debug failures and analyze user behavior directly from the source code. It is an essential tool for teams integrating AI agents into their workflow—such as Claude CodeCursorWindsurf, or Codex—facilitating the automation of application maintenance and evolution.

    Agentry functions by providing the agent with a single production API. The process begins when the agent inspects the repository to identify routes, webhooks, and potential failure surfaces. Signals are then linked via a simple HTTP API, eliminating the need to install heavy SDKs. This integration centralizes errors, analytics events, and deployment attribution in one place. Thanks to this approach, the agent can access real-world evidence to resolve incidents or answer complex product questions without the need for constant manual intervention.

    The tool’s core capabilities include:

    • Case Management: Groups similar errors by fingerprint, allowing the agent to prioritize failures based on frequency and the number of affected users.
    • Deployment Attribution: Links each code release to changes in system behavior, facilitating the immediate detection of regressions.
    • Queryable Events: Allows for technical queries on user activationretention, and churn using real production data to generate automated reports.
    • Operational Workflow Automation: The agent can perform triage, debug actionable cases, and open Pull Requests (PRs) with tested fixes, attaching evidence of the detected errors.

    Agentry technology optimizes agentic software development by eliminating the dependency on visual interfaces. The agent acts as the primary user, processing production signals to generate custom views or code patches directly on the developer's computer. By unifying telemetry in a queryable event store, the tool allows AI to understand not only what is failing but also how it impacts the business, improving data-driven decision-making and software lifecycle performance.

    Features and Use Cases of Agentry

    Agentry unifies product analytics and error monitoring into a single API designed for AI agents.
    It works through a direct HTTP API without the need to install complex SDKs in your source code.
    It groups similar production errors by fingerprints to facilitate automated triage by the agent.
    It allows you to link failures and changes in user behavior to specific repository deployments.
    It automates error debugging and the opening of pull requests using real-world production evidence.
    It analyzes which traffic sources generate activated users and paying customers by comparing conversion events.
    It measures the impact of new features on user retention and churn rate reduction.
    It offers a unified data store to query errors, events, and deployment logs using natural language queries.
    It provides signed webhooks so applications can automatically react to new issues or deployments.
    It is compatible with popular coding agents like Claude Code, Cursor, Codex, and any development environment.

    How Agentry Works

    1Open your repository in a compatible coding agent like Codex, Claude Code, or Cursor.
    2Paste the installation prompt containing the link to the tool's technical documentation.
    3Wait for the agent to read the installation instructions and present a detailed implementation plan.
    4Approve the execution plan so the agent can start working on the repository.
    5The agent will analyze the code to locate routes, background processes, and error surfaces.
    6Set up production signals through a simple HTTP API to log errors, events, and deployments.
    7The agent adds fetch calls to the code to send data without requiring an external development package.
    8Ask the agent questions about specific crashes, user activation, or retention metrics using real production data.
    9Request that the agent generate reports, admin pages, or code change proposals based on the collected evidence.
    10Set up automated tasks for the agent to periodically review new error cases and propose solutions.
    11For additional details on the technical configuration, refer to the official website.

    Frequently Asked Questions about Agentry

    What exactly is Agentry, and what is it used for?

    It’s a product analytics and error monitoring platform designed for AI agents that allows them to debug issues and explain user behavior through a single API.

    How do I install Agentry in my project?

    You need to open your repository in an editor like Cursor or Claude Code and paste the installation command so your agent can automatically configure the implementation plan.

    Do I need technical knowledge to use Agentry?

    Yes. Although the agent does most of the heavy lifting, the workflow is technical and requires the AI to have access to the code, APIs, and deployment processes.

    Does Agentry have a visual dashboard or control panel?

    It doesn't include its own dashboard because it’s designed for the agent to query the API directly and generate reports, custom pages, or fixes right within your own repository.

    What kind of data does the tool use to generate responses?

    The platform uses error logs, analytics events, and deployment data that your application sends via HTTP requests.

    Which AI agents is Agentry compatible with?

    It’s compatible with any coding agent that can read documentation and make network calls, including Claude Code, Cursor, Codex, Windsurf, or Cline.

    Does this tool replace other services like Sentry or PostHog?

    It can complement these tools or replace them if you prefer to centralize all your information in a context layer optimized for AI agents.

    What pricing plans are available for Agentry?

    There is a free plan to test the product, a Pro plan for $39 a month for up to one million events, and a Scale plan for higher volumes.

    What kind of questions can my agent answer using Agentry?

    The agent will be able to identify which features improve retention, which traffic sources generate paying customers, and investigate or fix production errors autonomously.

    Agentry Pricing

    Free

    0 $/month

    50,000 events per month.

    90-day data retention.

    Includes error logging, analytics events, deployments, and agent-readable APIs.

    Designed for testing the tool in real-world projects.


    Pro

    39 $/month

    1 million events per month.

    180-day data retention.

    Includes error logging, analytics events, deployments, and agent-readable APIs.

    Geared toward active products using AI agents on a daily basis.


    Scale

    149 $/month

    10 million events per month.

    365-day data retention.

    Includes error logging, analytics events, deployments, and agent-readable APIs.

    Built for teams with high data volumes and development studios.

    Agentry Screenshots

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