PackagePublished package

@pasar6987/insightly

Name: Semantic model package @pasar6987/insightly
Creator: pasar6987

insightly API schema: 28 streams, 361 fields.

OSISchema 0.1.1Domain crm

Published package · Latest published 1.0.0 Mar 4, 2026 · 28 datasets / 109 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.0Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

28 datasets109 measures · 252 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

Domain

crm

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

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/insightly

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

print(model.datasets)        # ["activity_sets", "contacts", "countries"]
print(model.measures)        # [Measure(name="activity_sets.ACTIVITYSET_ID", ...), Measure(name="activity_sets.OWNER_USER_ID", ...), Measure(name="contacts.CONTACT_ID", ...)]
print(model.dimensions)      # [Dimension(name="ACTIVITIES", ...), Dimension(name="FOR_CONTACTS", ...), Dimension(name="FOR_LEADS", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

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

@pasar6987/insightly

insightly API schema — 28 streams, 361 fields.

Overview

	Count
Streams (Datasets)	28
Dimensions	252
Measures	109
Relationships	0

Streams

activity_sets — activity_sets data from insightly
contacts — contacts data from insightly
countries — countries data from insightly
currencies — currencies data from insightly
emails — emails data from insightly
events — events data from insightly
knowledge_article_categories — knowledge_article_categories data from insightly
knowledge_article_folders — knowledge_article_folders data from insightly
knowledge_articles — knowledge_articles data from insightly
lead_sources — lead_sources data from insightly
lead_statuses — lead_statuses data from insightly
milestones — milestones data from insightly
notes — notes data from insightly
opportunities — opportunities data from insightly
opportunity_categories — opportunity_categories data from insightly
opportunity_state_reasons — opportunity_state_reasons data from insightly
organisations — organisations data from insightly
pipelines — pipelines data from insightly
pipeline_stages — pipeline_stages data from insightly
project_categories — project_categories data from insightly
projects — projects data from insightly
prospects — prospects data from insightly
relationships — relationships data from insightly
task_categories — task_categories data from insightly
tasks — tasks data from insightly
team_members — team_members data from insightly
teams — teams data from insightly
users — users data from insightly

Install

rawctx snapshot-download @pasar6987/insightly

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

datasets28

measures109

dimensions252

relationships0

AI context1

models/insightly.osi.yamlAI context included

28 datasets109 measures252 dimensions0 relationships