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paulsham

Wiki Analytics Specification MCP Server

by paulsham
properties.csv4.07 kB
property_name,type,constraints,description,usage user_id,string,regex: ^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$,Unique identifier for the user. Generated at registration and immutable.,Include in all events where user can be identified. email,string,"regex: ^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$",User's email address.,Include when email context is relevant. account_created_at,timestamp,-,Timestamp when the user account was created.,Track account age for cohort analysis. user_tier,string,"enum: free, basic, premium, enterprise",Current subscription tier of the user.,Segment analysis by subscription level. registration_method,string,"enum: email, google, facebook, apple, github",Method used to register an account.,Track registration source for conversion analysis. referral_code,string,regex: ^[A-Z0-9]{6}$,Six-character alphanumeric referral code.,Track referral program effectiveness. account_type,string,"enum: personal, team, enterprise",Type of account created.,Segment users by account type. verification_method,string,"enum: link, code",How the user verified their email.,Analyze verification preferences. time_to_verify,number,-,Seconds between registration and email verification.,Measure verification funnel speed. device_type,string,"enum: mobile, tablet, desktop, tv, watch",Type of device being used.,Include in device_info group for platform-specific analysis. platform,string,"enum: web, ios, android, windows, macos, linux",Platform or operating system.,Critical for cross-platform analysis. os_version,string,-,Operating system version string.,Track OS-specific issues and feature adoption. app_version,string,regex: ^\d+\.\d+\.\d+$,Application version in semver format.,Track feature rollout and bug reports by version. session_id,string,regex: ^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$,Unique identifier for the user session.,Group events within a single user session. session_start_time,timestamp,-,Timestamp when the session began.,Calculate session duration and time-based analysis. session_count,number,-,Total number of sessions for this user.,Track user engagement over time. page_url,string,-,Full URL of the current page.,Track page-level engagement and navigation paths. page_title,string,-,Title of the current page.,Human-readable page identification. referrer,string,-,URL of the referring page.,Track traffic sources and user journeys. onboarding_version,string,-,Version identifier for the onboarding flow.,A/B test different onboarding experiences. step_name,string,-,Name of the onboarding step completed.,Track onboarding funnel progression. step_number,number,-,Numeric position of the step in the flow.,Order steps for funnel analysis. skipped,boolean,-,Whether the user skipped this step.,Identify commonly skipped steps. completion_time,number,-,Seconds spent on this step.,Identify slow or confusing steps. total_steps,number,-,Total number of steps in the onboarding flow.,Calculate completion percentage. completed_steps,number,-,Number of steps the user completed.,Track partial completions. project_id,string,regex: ^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$,Unique identifier for the project.,Track project-level analytics and cross-reference events. project_name,string,-,Name of the project.,Human-readable project identification. project_template,string,"enum: blank, starter, advanced, import",Template used to create the project.,Analyze template popularity and user preferences. invitee_email,string,"regex: ^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$",Email address of the invited collaborator.,Track invitation patterns and collaboration growth. permission_level,string,"enum: viewer, editor, admin",Permission level granted to the collaborator.,Analyze permission distribution and security patterns. file_type,string,-,MIME type or extension of the uploaded file.,Track file type distribution for storage optimization. file_size_bytes,number,-,Size of the uploaded file in bytes.,Monitor storage usage and identify large uploads.

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