Registry packagePublic

@pasar6987/zendesk-groups

Name: Semantic model package @pasar6987/zendesk-groups
Creator: pasar6987

Zendesk group dimensions — agent team definitions, visibility settings, and organizational structure for routing and workload analysis.

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

Native (downloadable) · Latest 1.0.0 published Mar 4, 2026 · 1 datasets / 0 measures in the latest preview · Updated Mar 11, 2026

Snapshot

Registry facts before deep inspection

Format, origin, ownership, and release context surface first so the package can be qualified quickly.

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

Source

developer.zendesk.com

Owner

@pasar6987

Organization

Independent

Repository

Not linked

License

Apache-2.0

Visibility

Public

Structure before documentation

Preview the package footprint first, then open the dedicated explorer if you need field-level inspection.

Models1

Datasets1

Measures0

Dimensions8

Relationships0

AI context1

models/zendesk-groups.osi.yamlAI context included

1 datasets0 measures8 dimensions0 relationships

Python handoff

Use this package directly in code

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/zendesk-groups

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/zendesk-groups")
prompt = rawctx.to_prompt(
    "@pasar6987/zendesk-groups",
    datasets=["Group"],
    max_tokens=2000,
)

print(model.datasets)        # ["Group"]
print(model.measures)        # [Measure(name="measure_a", ...)]
print(model.dimensions)      # [Dimension(name="group_id", ...), Dimension(name="group_name", ...), Dimension(name="group_description", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

Use documentation after the package qualifies on source, preview, and installability.

@pasar6987/zendesk-groups

Zendesk Groups — agent team structures that organize your support workforce into functional units for ticket routing, workload balancing, and team-level performance measurement across specialized support tiers.

Overview

	Count
Datasets	1
Dimensions	8
Metrics	0
Relationships	0

Datasets

Group

Agent team structures that organize your support workforce — named groups with visibility controls, default designation, and lifecycle tracking for team-based ticket routing and performance measurement.

Dimensions: 8
Metrics: 0

Install

rawctx snapshot-download @pasar6987/zendesk-groups

Source

Zendesk API Reference

Topology

Semantic graph

Use the graph last, once the package has already qualified on release state, preview, and documentation.

Semantic Graph

Datasets 0 / Measures 0 / Dimensions 0 / Relationships 0

Loading semantic graph...

PackageDatasetMeasureDimensionRelationship