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Agentry ✓

Fewer bugs. Better UX. Higher conversions.

1.2k views 4 saves Freemium
More categories (4)

Verdict

A quick read before you dig into the full page.

Best if
Fewer bugs. Better UX. Higher conversions
Skip if
Limited to HTTP requests
Pick this when
Single API for errors, analytics, deploys

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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.
  • Advanced Analytics And Reporting
  • Analytics Dashboard
  • Error & Diagnostic Logging
Agentry website

Access & connections

Where you can use Agentry, and what it plugs into.

Platforms

Web

Integrations

MCP

API

Public API available

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Code
  • Tabular
  • Text

Output

  • Code
  • Tabular
  • API
  • Text

Highlights

  • Agents
  • API
  • MCP
  • Local

Supported features

  • Agents
  • API
  • MCP
  • Runs Locally

Pros & 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
Show 35 more
  • 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

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

Compare alternatives

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Releases 1

Initial release June 24, 2026 Current
Initial release of Agentry.

FAQ 12

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.
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.
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