Website analytics 2026 Rank: #2302
Agentry ✓
Fewer bugs. Better UX. Higher conversions.
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
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
Access & connections
Where you can use Agentry, and what it plugs into.
Platforms
Integrations
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
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