PackagePublished package

@pasar6987/hubspot

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

hubspot API schema: 34 streams, 890 fields.

OSISchema 0.1.1Domain crm

Published package · Latest published 1.0.0 Mar 4, 2026 · 34 datasets / 135 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.0Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

34 datasets135 measures · 755 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/hubspot

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/hubspot")
prompt = rawctx.to_prompt(
    "@pasar6987/hubspot",
    datasets=["account_details", "contact_lists"],
    max_tokens=2000,
)

print(model.datasets)        # ["account_details", "contact_lists", "deal_pipelines"]
print(model.measures)        # [Measure(name="account_details.portalId", ...), Measure(name="account_details.utcOffsetMilliseconds", ...), Measure(name="contact_lists.listVersion", ...)]
print(model.dimensions)      # [Dimension(name="accountType", ...), Dimension(name="additionalCurrencies", ...), Dimension(name="companyCurrency", ...)]
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/hubspot

hubspot API schema — 34 streams, 890 fields.

Overview

	Count
Streams (Datasets)	34
Dimensions	755
Measures	135
Relationships	0

Streams

account_details — account_details data from hubspot
contact_lists — contact_lists data from hubspot
deal_pipelines — deal_pipelines data from hubspot
companies — companies data from hubspot
companies_property_history — companies_property_history data from hubspot
contacts — contacts data from hubspot
contacts_property_history — contacts_property_history data from hubspot
deal_splits — deal_splits data from hubspot
deals — deals data from hubspot
deals_property_history — deals_property_history data from hubspot
deals_archived — deals_archived data from hubspot
email_subscriptions — email_subscriptions data from hubspot
engagements_calls — engagements_calls data from hubspot
engagements_emails — engagements_emails data from hubspot
engagements_meetings — engagements_meetings data from hubspot
engagements_notes — engagements_notes data from hubspot
engagements_tasks — engagements_tasks data from hubspot
form_submissions — form_submissions data from hubspot
forms — forms data from hubspot
leads — leads data from hubspot
marketing_emails — marketing_emails data from hubspot
ticket_pipelines — ticket_pipelines data from hubspot
tickets — tickets data from hubspot
campaigns — campaigns data from hubspot
owners — owners data from hubspot
owners_archived — owners_archived data from hubspot
workflows — workflows data from hubspot
email_events — email_events data from hubspot
engagements — engagements data from hubspot
subscription_changes — subscription_changes data from hubspot
goals — goals data from hubspot
products — products data from hubspot
line_items — line_items data from hubspot
properties — properties data from hubspot

Install

rawctx snapshot-download @pasar6987/hubspot

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

datasets34

measures135

dimensions755

relationships0

AI context1

models/hubspot.osi.yamlAI context included

34 datasets135 measures755 dimensions0 relationships