Package control recordPublished package

@pasar6987/hubspot-tickets

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

HubSpot CRM ticket dimensions and metrics — support pipeline, ticket status, priority, SLA compliance, response times, resolution rates, and customer satisfaction tracking.

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 / 10 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 datasets10 measures · 25 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-tickets

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-tickets")
prompt = rawctx.to_prompt(
    "@pasar6987/hubspot-tickets",
    datasets=["Ticket", "TicketSLA"],
    max_tokens=2000,
)

print(model.datasets)        # ["Ticket", "TicketSLA"]
print(model.measures)        # [Measure(name="total_tickets", ...), Measure(name="new_tickets_created", ...), Measure(name="open_tickets", ...)]
print(model.dimensions)      # [Dimension(name="ticket_id", ...), Dimension(name="subject", ...), Dimension(name="content", ...)]
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-tickets

HubSpot Tickets — customer support and service operations tracking every inbound request from creation through resolution, with priority classification, channel attribution, SLA compliance monitoring, response time benchmarks, and resolution analytics that drive continuous improvement in customer service quality.

Overview

	Count
Datasets	2
Dimensions	25
Metrics	10
Relationships	1

Datasets

Ticket

Support ticket management — ticket subjects, descriptions, pipeline statuses, priorities, categories, owner assignments, source channels, creation and close dates, customer and agent reply timestamps, and conversation counts that track every support interaction.

Dimensions: 17
Metrics: 5

TicketSLA

Ticket SLA compliance and performance — first response times, time-to-close durations, SLA status indicators (on time, due soon, overdue), SLA due dates, and compliance tracking that ensure service level commitments are met.

Dimensions: 8
Metrics: 5

Metrics

total_tickets — The total count of support ticket records in the CRM.
new_tickets_created — The number of new support tickets created in a given time period.
open_tickets — The count of tickets currently in an open (not closed) status.
closed_tickets — The count of tickets that have been closed or resolved.
tickets_by_priority — The distribution of tickets across priority levels (low, medium, high).
average_time_to_first_response — The average elapsed time from ticket creation to the first agent response, in hours.
average_time_to_close — The average elapsed time from ticket creation to resolution, in hours.
sla_compliance_rate — The percentage of tickets resolved within the defined SLA targets.
first_response_sla_met_rate — The percentage of tickets where the first response SLA target was met.
customer_satisfaction_score — The average customer satisfaction rating collected from post-resolution surveys.

Install

rawctx snapshot-download @pasar6987/hubspot-tickets

Source

HubSpot CRM API Reference

Structure review

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Models1

Datasets2

Measures10

Dimensions25

Relationships1

AI context1

models/hubspot-tickets.osi.yamlAI context included

2 datasets10 measures25 dimensions1 relationships

Topology

Semantic graph

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Semantic Graph

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Loading graph

Semantic topology is still loading

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