Registry packagePublic

@rawctx/zendesk-engagement

Zendesk comment dimensions and engagement metrics — comment types, channels, public vs internal visibility, attachment tracking, and channel distribution analytics.

OSISchema 1.0Domain customer-supportSource developer.zendesk.comOwner @pasar6987

Native (downloadable) · Latest 1.0.0 published Mar 4, 2026 · 1 datasets / 12 measures in the latest preview · Updated Mar 10, 2026

Snapshot

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Format

OSI

Latest release

1.0.0Published Mar 4, 2026

Origin

Native (downloadable)Managed directly in rawctx

Installability

DownloadableDirect rawctx snapshot download

Domain

customer-support

Owner

@pasar6987

Organization

Independent

Repository

Not linked

License

Apache-2.0

Visibility

Public

Tags

zendeskcommentsengagementchannelscommunicationomnichannel

Schema preview

OSI 1.0

Model preview

Structure before documentation

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Models1
Datasets1
Measures12
Dimensions8
Relationships0
AI context1
models/zendesk-engagement.osi.yamlAI context included
1 datasets12 measures8 dimensions0 relationships

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README

Package narrative and examples

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@rawctx/zendesk-engagement

Zendesk Interaction Engagement — the conversation layer capturing every public reply and internal note across tickets, with channel attribution, authorship tracking, attachment presence, and visibility controls that reveal communication patterns and channel effectiveness in your support workflow.

Overview

Count
Datasets1
Dimensions8
Metrics12
Relationships0

Datasets

Comment

Every message exchanged on tickets — public replies visible to customers, internal notes for agent collaboration, voice comments from phone calls — with channel attribution, authorship, attachment tracking, and timestamp precision.

  • Dimensions: 8
  • Metrics: 4

Metrics

  • total_comments — Total number of comments across all tickets in the period
  • public_comments — Number of public-facing comments visible to requesters
  • internal_comments — Number of internal notes visible only to agents
  • avg_comments_per_ticket — Average total comments (public and internal) per ticket
  • tickets_per_channel — Number of tickets received through each channel type
  • channel_distribution_rate — Percentage distribution of tickets across different channels
  • email_ticket_count — Number of tickets received via email channel
  • chat_ticket_count — Number of tickets originating from live chat interactions
  • phone_ticket_count — Number of tickets created from phone calls via Zendesk Talk
  • web_ticket_count — Number of tickets submitted through the web portal or help center
  • api_ticket_count — Number of tickets created programmatically through the Zendesk API
  • social_ticket_count — Number of tickets originating from social media channels (Twitter, Facebook)

Install

rawctx snapshot-download @rawctx/zendesk-engagement

Source

Zendesk API Reference

Topology

Semantic graph

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Semantic Graph

Datasets 0 / Measures 0 / Dimensions 0 / Relationships 0

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