Package control recordPublished package

@pasar6987/hubspot-products

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

HubSpot CRM product and line item dimensions and metrics — product catalog, pricing, SKUs, discounts, billing terms, and itemized deal revenue breakdown.

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 Apr 28, 2026

Release path

1.0.0Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

2 datasets6 measures · 26 dimensions

Reference context

Secondary package facts stay compact

Updated: Apr 28, 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-products

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-products")
prompt = rawctx.to_prompt(
    "@pasar6987/hubspot-products",
    datasets=["Product", "LineItem"],
    max_tokens=2000,
)

print(model.datasets)        # ["Product", "LineItem"]
print(model.measures)        # [Measure(name="total_products", ...), Measure(name="active_products", ...), Measure(name="total_line_items", ...)]
print(model.dimensions)      # [Dimension(name="product_id", ...), Dimension(name="name", ...), Dimension(name="description", ...)]
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-products

HubSpot Products & Line Items — the product catalog and transactional detail layer connecting your product library to deals through itemized line items, covering unit pricing, discounts, billing frequencies, contract terms, SKU tracking, and cost-of-goods analysis that powers product-level revenue intelligence.

Overview

	Count
Datasets	2
Dimensions	26
Metrics	6
Relationships	1

Datasets

Product

Product catalog — product names, descriptions, unit prices, cost of goods, SKU identifiers, product types, billing frequencies, folder organization, tax rates, and lifecycle dates that define your sellable inventory.

Dimensions: 12
Metrics: 2

LineItem

Line item transactional detail — item names, quantities, unit prices, net amounts, discount percentages, contract terms, billing frequencies, billing start dates, SKU references, and product linkage that provide deal-level revenue granularity.

Dimensions: 14
Metrics: 4

Metrics

total_products — The total count of products in the product library.
active_products — The number of products currently used in active line items.
total_line_items — The total count of line items across all deals.
total_line_item_revenue — The sum of net prices across all line items.
average_discount_percentage — The average discount percentage applied across all line items.
average_line_items_per_deal — The average number of line items associated with each deal.

Install

rawctx snapshot-download @pasar6987/hubspot-products

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

Dimensions26

Relationships1

AI context1

models/hubspot-products.osi.yamlAI context included

2 datasets6 measures26 dimensions1 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.