Package control recordPublished package

@pasar6987/hubspot-companies

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

HubSpot CRM company dimensions and metrics — firmographic data, account classification, target account flags, ICP tiers, and company-level analytics for account-based strategies.

OSISchema 0.1.1Domain crm Source developers.hubspot.com/docs/reference/api/crm/objects

Published package · Latest published 1.0.0 Mar 4, 2026 · 2 datasets / 6 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.0Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

2 datasets6 measures · 32 dimensions

Reference context

Secondary package facts stay compact

Updated: Mar 11, 2026
Visibility: Public hub listing
License: Apache-2.0
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

developers.hubspot.com/docs/reference/api/crm/objects

Repository

Not linked

Domain

crm

Source

developers.hubspot.com/docs/reference/api/crm/objects

Owner

@pasar6987

Organization

Independent

License

Apache-2.0

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-companies

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-companies")
prompt = rawctx.to_prompt(
    "@pasar6987/hubspot-companies",
    datasets=["Company", "CompanyAnalytics"],
    max_tokens=2000,
)

print(model.datasets)        # ["Company", "CompanyAnalytics"]
print(model.measures)        # [Measure(name="total_companies", ...), Measure(name="new_companies", ...), Measure(name="target_accounts_count", ...)]
print(model.dimensions)      # [Dimension(name="company_id", ...), Dimension(name="name", ...), Dimension(name="domain", ...)]
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-companies

HubSpot Companies — organizational profiles that aggregate contacts, deals, and revenue under a single account view, with firmographic attributes like industry, employee count, and annual revenue, plus traffic source analytics that reveal how accounts discover and interact with your brand.

Overview

	Count
Datasets	2
Dimensions	32
Metrics	6
Relationships	0

Datasets

Company

Company firmographic profiles — organizational names, domains, industry classifications, employee counts, annual revenue, lifecycle stages, geographic locations, and strategic flags like target account status and ICP tier that define account-level identity.

Dimensions: 22
Metrics: 5

CompanyAnalytics

Company analytics and activity history — traffic source attribution, latest meeting and call dates, sales activity timestamps, and open task tracking that reveal account-level engagement patterns.

Dimensions: 10
Metrics: 1

Metrics

total_companies — The total count of company records in the CRM.
new_companies — The number of new company records created in a given time period.
target_accounts_count — The number of companies flagged as target accounts.
average_contacts_per_company — The average number of contacts associated with each company.
companies_with_deals — The count of companies associated with at least one open or won deal.
average_company_revenue — The average annual revenue across all company records.

Install

rawctx snapshot-download @pasar6987/hubspot-companies

Source

HubSpot CRM API Reference

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

Datasets2

Measures6

Dimensions32

Relationships0

AI context1

models/hubspot-companies.osi.yamlAI context included

2 datasets6 measures32 dimensions0 relationships

Topology

Semantic graph

Use the graph last, once provenance, documentation, and the runnable path are already clear.

Semantic Graph

Topology counts appear after the graph loads.

Loading graph

Semantic topology is still loading

Counts and graph nodes appear after the latest published summary has been fetched.