Package control recordPublished package

@pasar6987/hubspot-contacts

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

HubSpot CRM contact dimensions and metrics — contact properties, lifecycle stages, lead scoring, analytics attribution, and sales activity tracking for the full contact lifecycle.

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

Published package · Latest published 1.0.0 Mar 4, 2026 · 3 datasets / 18 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.0Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

3 datasets18 measures · 52 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-contacts

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-contacts")
prompt = rawctx.to_prompt(
    "@pasar6987/hubspot-contacts",
    datasets=["Contact", "ContactAnalytics"],
    max_tokens=2000,
)

print(model.datasets)        # ["Contact", "ContactAnalytics", "ContactActivity"]
print(model.measures)        # [Measure(name="total_contacts", ...), Measure(name="new_contacts", ...), Measure(name="contacts_with_deals", ...)]
print(model.dimensions)      # [Dimension(name="contact_id", ...), Dimension(name="firstname", ...), Dimension(name="lastname", ...)]
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-contacts

HubSpot Contacts — the people at the heart of your CRM, covering identity profiles, lifecycle progression from anonymous visitor to loyal customer, analytics attribution revealing how contacts discover and engage with your brand, and sales activity logs tracking every touchpoint along the relationship journey.

Overview

	Count
Datasets	3
Dimensions	52
Metrics	18
Relationships	2

Datasets

Contact

Contact identity and profile data — names, email addresses, phone numbers, job titles, lifecycle stages, lead status, geographic location, and owner assignment that define who each person is in your CRM.

Dimensions: 21
Metrics: 6

ContactAnalytics

Contact analytics and attribution — original and latest traffic sources, first and last page URLs, converting campaign attribution, form submissions, and lifecycle stage transition dates that map the journey from first touch to customer.

Dimensions: 20
Metrics: 6

ContactActivity

Contact activity tracking — last contacted dates, next activity scheduling, activity counts, sequence enrollment status, marketing email engagement dates, and first engagement timestamps that measure sales and marketing interaction intensity.

Dimensions: 11
Metrics: 6

Metrics

total_contacts — The total count of contact records in the CRM.
new_contacts — The number of new contact records created in a given time period.
contacts_with_deals — The count of contacts that are associated with at least one deal.
contact_to_customer_rate — The percentage of contacts that have reached the customer lifecycle stage.
lead_to_mql_rate — The percentage of leads that advanced to marketing qualified lead status.
mql_to_sql_rate — The percentage of marketing qualified leads that advanced to sales qualified lead status.
average_time_to_mql — The average number of days from contact creation to becoming a marketing qualified lead.
average_time_to_sql — The average number of days from contact creation to becoming a sales qualified lead.
average_time_to_customer — The average number of days from contact creation to becoming a customer.
form_submissions — The total number of form submissions captured across all forms.
first_touch_conversions — The number of contacts attributed to a first-touch converting campaign.
last_touch_conversions — The number of contacts attributed to a last-touch converting campaign.
total_activities — The total count of sales activities (calls, emails, meetings, tasks, notes) logged in the CRM.
calls_made — The number of outbound calls logged by the sales team.
emails_sent — The number of one-to-one sales emails sent from the CRM.
meetings_booked — The number of meetings scheduled via the CRM or meetings tool.
sequence_enrollment_count — The total number of sequence enrollments across all contacts.
sequence_reply_rate — The percentage of sequence enrollments that resulted in a reply from the contact.

Install

rawctx snapshot-download @pasar6987/hubspot-contacts

Source

HubSpot CRM API Reference

Structure review

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

Models1

Datasets3

Measures18

Dimensions52

Relationships2

AI context1

models/hubspot-contacts.osi.yamlAI context included

3 datasets18 measures52 dimensions2 relationships

Topology

Semantic graph

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Semantic Graph

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Loading graph

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