Analytics and errors for your AI coding agent

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June 24, 2026

Agentry

United States Website analytics

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Analytics and errors for your AI coding agent

Analytics Error Logging Local Production Context API Agentic Software DevelopmentFree + from $39/mo

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Overview

Agentry gives AI coding agents production context (analytics, error logging and deploy attribution) through one HTTP API.

Key features
- Production debugging: agents can diagnose failures from real logs, events, users, and deploy history.
- Behavior analysis: identify drop-offs, churn signals, marketing source quality, activation issues, and feature adoption.
- Error monitoring: capture production errors and group them into cases your agent can investigate.
- Product analytics: track user events and funnels so your agent can explain what users did.
- Deploy attribution: connect regressions and behavior changes to the deploy that caused them.
- Repo-aware setup: your agent inspects the codebase, plans the right telemetry, installs it, and verifies it.

Agent-first API: works with Codex, Claude Code, Cursor, Windsurf, Cline, and other HTTP-capable coding agents.

No SDK or dashboard required: the API is the product, your agent queries the data directly.

Actionable fixes: agents can trace root causes, run tests, and propose code changes or pull requests based on production evidence.

Use Agentry to ask:
- Where are users dropping off?
- Where are paying customers coming from?
- What broke?
- What changed?
- What did users do?
- Which deploy caused this?

--> Ask your AI agent for anything.

Supported features

Key Features

Advanced Analytics And Reporting
Analytics Dashboard
Error & Diagnostic Logging

Releases

AgentryInitial

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Initial release

June 24, 2026

Initial release of Agentry.

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Author

Henrik Harju

@henrikharju

Re-imagining products in the AI era.

agentry.sh

🇺🇸 United States

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Joined: May 2024

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United States Website analytics

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Pros and Cons

Pros

Single API for errors, analytics, deploys

Real-time data access

Deep production environment understanding

Identifies codebase elements

Case management features

Deploy attribution function

Webhook support

Able to suggest improvements

Incident investigation capabilities

Bugs fixing function

Groups similar errors

Status, frequency, affected users tracking

Examples providing feature

Researching user churn

Scouting potential marketing opportunities

Product-related queries posing

Query solving capacity

Error tracing features

Test running capabilities

Code revision proposals

Data evidence based decisions

Operationalizes repository analysis

Provides production data evidence

No additional SDK required

Signed webhooks

Real event data querying

Analyzes user behavior

System failures diagnosing

New cases solving

Anomaly detection

Operational analytics

Marketing opportunity discovery

Includes deploy information

Errors encapsulation

Analytics events encapsulation

API, Error Diagnosis capabilities

User Behaviour Analytics

Optimized for Agentic development

Provides agent-readable APIs

Plain HTTP API

Debugging of failures

Offers Code Repository Analysis

Provides case examples

View 38 more pros

Cons

No built-in dashboard

Requires repo access

Uses only HTTP API

Suitable mainly for technical workflow

Limited to HTTP requests

Requires continuous interaction for updates

Only supports plain HTTP API

View 2 more cons

Q&A

What is Agentry?

Agentry is a tool developed for AI developers, primarily providing a single API that caters to errors, analytics events, and deploys. It is designed with the goal of aiding in debugging of failures and tracking user behavior and data regressions using actual production data. Agentry also facilitates the process of inspecting repositories, wiring signals, and providing answers which arm the coding agent with a better understanding of the production environment.

What key features does Agentry offer?

Key features that Agentry offer include case management, deploy attribution, querying of events, and webhook support. It allows the agent to generate integrations, analyze trends and offer suggestions for improvements, investigate incidents, and fix bugs. A standout feature of Agentry is its ability to group similar errors via fingerprints, showing status, frequency, affected users, and examples. It also has a provision for querying real event data for insightful information regarding activation, churn, campaigns, or regressions.

What's unique about Agentry's API?

The uniqueness of Agentry's API lies in its ability to provide a single interface for errors, analytics events, and deploys. This feature aids the agent in debugging failures, tracking user behavior, and tracing data regressions based on actual production data. It supports event store, has a plain HTTP API, and allows deploy attribution.

How does Agentry support AI coding agent onboarding?

Agentry supports AI coding agent onboarding by facilitating the entire process from inspecting the code repositories to wiring signals and providing answers based on real data. The coding agent is thus endowed with a comprehensive understanding of the production environment.

How does Agentry assist in bug fixing?

Agentry assists in bug fixing by collecting similar errors upon fingerprints, detailing their status, frequency, affected users, and examples. This information provides a clear context and understanding for the agent to resolve the bugs. Agentry also supports creating queries from real event data.

Can Agentry integrate with any AI coding agent?

Yes, Agentry can integrate with any AI coding agent. It is designed with an inherent flexibility to support various coding agents.

+ Show 34 more

How does case management work in Agentry?

In Agentry, case management involves the grouping of similar errors by fingerprints. This process provides comprehensive details like the status of the case, how often it occurs, which users are affected, and examples of the error. This helps in efficient management and resolution of cases.

What is deploy attribution in Agentry?

Deploy attribution in Agentry refers to the ability of the software to correlate failures and changes in user behavior with specific software releases. It enables understanding of the cause-and-effect relationship between releases and system behavior.

How does Agentry support event querying?

Event querying in Agentry supports a systematic examination of records regarding errors, analytics events and deploys. It allows for deep insight extraction regarding activation, churn, campaigns or regressions from real production data.

How can Agentry be used for user behavior tracking?

Agentry aids user behavior tracking by correlating changes in user behavior with specific software releases. This feature proves essential in measuring the impact of a newly released feature on user retention.

What is webhook support in Agentry?

Webhook support in Agentry refers to signed hooks for cases, deploys, and events that become useful when your app needs to react. It's part of the API which can be used by the coding agent to facilitate automation and integration.

What is Agentry's role in data regression analysis?

Agentry plays an essential role in data regression analysis by tracking user behavior and data regressions from actual production data. This feature assists in debugging failures by tracing back to the root cause from real data.

Does Agentry facilitate software automation?

Indeed, Agentry does facilitate software automation. By shifting focus from human hands-on management to smart AI agents, it automates workflows, generates integrations and provides actionable analysis.

How does Agentry handle error analytics?

Error analytics in Agentry involves systematic grouping of similar errors by fingerprints. Agentry presents status, frequency, affected users, and examples of errors to facilitate swift and effective resolution.

What is the application of Agentry in production monitoring?

In Agentry, production monitoring is facilitated by providing AI coding agents with production context derived from real data. In addition, Agentry identifies routes, jobs, webhooks, funnels, failure surfaces, and deploy hooks in the codebase, enabling a deeper exploration of the production environment.

How does Agentry support codebase inspection?

Agentry supports codebase inspection by providing a systematic process of inspecting repositories and wiring signals. This equips the coding agent with a deeper understanding of the production environment and aids in debugging and failure resolution.

How can Agentry help to improve user retention?

Agentry assists in improving user retention by tracing changes in user behavior to specific releases. This helps in determining the impact of a newly released feature on user retention.

Can Agentry analyze trends and suggest improvements?

Agentry has a key feature that enables the agent to generate integrations, analyze trends, and suggest improvements. This feature can be deployed for use-cases like ranking sources of users and measuring the impact of a new feature on user retention.

Can Agentry be used for incident investigation?

Incident investigation in Agentry involves a comprehensive examination of errors to pinpoint their frequency, affected users, status, and samples. Furthermore, deploy attribution helps in the correlation of failures to specific releases for better understanding of incidents.

What kind of support does Agentry provide for software releases management?

Agentry provides support for software releases management through its deploy attribution feature. This allows the tracking of failures and changes in user behavior to match with specific releases. This feature makes the management of software releases organized and effective.

What is Agentry?

Agentry is an AI development tool for providing a single API that encapsulates errors, analytics events, and deployment information. It aids debugging of failures, tracking user behavior, and tracing data regressions from production data. It can identify routes, jobs, webhooks, and deploys in a codebase to provide a comprehensive understanding of the production environment.

How does Agentry assist in debugging failures?

Agentry assists in debugging failures by providing an analysis of errors, analytics events, and deploys. It supports the tracing of regressions using real-time data from the production environment. Furthermore, it offers deploy attribution that allows for the correlation of failures and changes in user behavior to specific releases, enabling efficient debugging.

What kind of errors can Agentry identify?

Agentry can identify an extensive range of errors in a codebase. One of its key features is the ability to group similar errors by fingerprints, providing essential details such as status, frequency, affected users, and examples. Its comprehensive inspection and tracking system helps identify routes, jobs, webhooks, funnels, failure surfaces, and deploy hooks in the codebase.

Can Agentry be integrated with any AI coding agent?

Yes, Agentry is designed to integrate with any AI coding agent. Moreover, it provides support for agent onboarding.

What is the 'deploy attribution' feature of Agentry?

The 'deploy attribution' feature of Agentry facilitates the correlation of failures and changes in user behavior to specific releases. This ability provides key insights into the impact of each deployment and assists in identifying issues.

How does Agentry support the querying of events?

Agentry provides an interface that allows AI agents to query events for investigation. Queries can be based on actual production data, and can cover areas such as bugs, churn, marketing, or product questions.

What insights can be gained from Agentry's real event data?

Insights from Agentry's real event data can include user activation, churn, campaigns, and recurrent issues. Additionally, these insights can reflect changes in behavior correlated to specific releases, thus helping in associating observed effects with specific events or deployments.

In what scenarios can Agentry be deployed?

Agentry can be deployed in various scenarios including debugging and resolving new cases, ranking sources of users by downstream activation and paid conversion, and measuring the impact of newly released features on user retention.

Can Agentry suggest improvements for my AI agent?

Yes, Agentry can suggest improvements. Its ability to analyze trends, investigate incidents, and identify bugs, allows it to generate insights that can be translated into action items for improving AI agents' performance.

How does Agentry help in resolving new cases?

Agentry assists in resolving new cases through systematic analysis of real production data. AI agents can utilize this tool to trace sources of errors, run tests, propose code revisions, and solve new cases based on the evidence provided.

What is Agentry's approach towards AI software development?

Agentry facilitates 'agentic' software development, a philosophy shifting focus from human hands-on management to smart agents that automate workflows, generate integrations, and provide actionable insights by utilizing real production data.

How does Agentry assist in bug identification?

Agentry aids in bug identification through comprehensive code repository analysis. Cases of similar errors are grouped by fingerprints, indicating potential bug patterns. Moreover, deploy attribution allows the tracing of bugs or system failures to specific releases.

How does Agentry help in tracking user churn?

Agentry helps in tracking user churn by allowing the querying and analysis of real event data. It equips AI agents with the ability to investigate incidents relating to user engagement and churn, thus providing vital insights into user behavior.

Can Agentry discover marketing opportunities?

Yes, Agentry can discover marketing opportunities. It allows for the querying of real event data, offering insights into campaigns, and user activation. Additionally, it supports decision making and the formulation of strategic marketing opportunities based on evidence from the production environment.

How does Agentry support decision making for AI agents?

Agentry supports decision making for AI agents by providing production context and real data related to errors, events, deploys, and repository context. This enables AI agents to make informed decisions, propose actionable improvements, and take appropriate actions for bug identification, resolution and other operational tasks.

Can Agentry trace sources of errors?

Yes, Agentry can trace sources of errors. It ties errors to deploys through deploy attribution, making it possible to associate system failures with specific releases. The ability to inspect code, analyze real-time data, and group similar errors, assists AI agents in identifying and tracing the sources of errors.

What kind of test running capabilities does Agentry offer?

Agentry can support test running by allowing AI agents to propose and run tests based on the production data evidence provided. This functionality aids in the identification and resolution of issues and helps improve overall software quality and reliability.

Does Agentry assist in code revision?

Yes, Agentry assists in code revision. Based on the analysis of real data from the production environment, AI coding agents can propose code revisions via pull requests, making it an effective tool for improving the codebase incrementally and continuously.

How do you install Agentry?

To install Agentry, navigate to 'agentry.sh/install.md'. Follow the installation prompts and paste to your coding agent. Your AI coding agent will onboard itself and then your application.

What languages and frameworks does Agentry work with?

Agentry works with any language and framework. It's built to be compatible with multiple languages including TypeScript, JavaScript, Python, Go, Rust, Ruby, Java, PHP, Elixir, Kotlin, Swift, .NET and frameworks like Next.js, React, Vue, Svelte, Astro, Nuxt, Remix, Express, Hono, FastAPI, Django, Rails, Laravel.

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