HubPublic
PackagePublished package

@pasar6987/apptivo

apptivo API schema: 5 streams, 320 fields.

OSISchema 0.1.1Domain crm

Published package · Latest published 1.0.0 Mar 4, 2026 · 5 datasets / 72 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.0Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

5 datasets72 measures · 248 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated
Mar 11, 2026
Visibility
Public hub listing
License
MIT
Created
Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

Not linked

Repository

Not linked

Source

Not set

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.0Published Mar 4, 2026

Tags

apptivodata-integration

Schema preview

Schema 0.1.1

SDK handoff

Use this package in code and AI

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

Python SDK

Python example for @pasar6987/apptivo

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/apptivo")
prompt = rawctx.to_prompt(
    "@pasar6987/apptivo",
    datasets=["customers", "contacts"],
    max_tokens=2000,
)

print(model.datasets)        # ["customers", "contacts", "cases"]
print(model.measures)        # [Measure(name="customers.version", ...), Measure(name="customers.assigneeObjectId", ...), Measure(name="customers.assigneeObjectRefId", ...)]
print(model.dimensions)      # [Dimension(name="description", ...), Dimension(name="accounts", ...), Dimension(name="addresses", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/apptivo

apptivo API schema — 5 streams, 320 fields.

Overview

Count
Streams (Datasets)5
Dimensions248
Measures72
Relationships0

Streams

  • customers — customers data from apptivo
  • contacts — contacts data from apptivo
  • cases — cases data from apptivo
  • leads — leads data from apptivo
  • opportunities — opportunities data from apptivo

Install

rawctx snapshot-download @pasar6987/apptivo

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1
datasets5
measures72
dimensions248
relationships0
AI context1
models/apptivo.osi.yamlAI context included
5 datasets72 measures248 dimensions0 relationships