HubPublic
PackagePublished package

@pasar6987/sf-tooling-marketing

Marketing app extensions, actions, activities, assignments, marketing data connections, data lake objects, model fields, Pardot tenant configs, and referral marketing for campaign orchestration.

Published package · Latest published 1.0.1 Mar 4, 2026 · 14 datasets / 1 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

14 datasets1 measures · 52 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

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Tags

salesforcecrmtoolingmarketing

Schema preview

Schema 0.1.1

SDK handoff

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/sf-tooling-marketing

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/sf-tooling-marketing")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-tooling-marketing",
    datasets=["MarketingAppExtAction", "MarketingAppExtActivity"],
    max_tokens=2000,
)

print(model.datasets)        # ["MarketingAppExtAction", "MarketingAppExtActivity", "MarketingAppExtAssignment"]
print(model.measures)        # [Measure(name="MarketingAppExtAction.Version", ...)]
print(model.dimensions)      # [Dimension(name="ActionName", ...), Dimension(name="ActionParams", ...), Dimension(name="ActionSchema", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-tooling-marketing

Marketing app extensions, actions, activities, assignments, marketing data connections, data lake objects, model fields, Pardot tenant configs, and referral marketing for campaign orchestration.

Overview

Count
Objects (Datasets)14
Dimensions52
Measures1
Relationships0

Objects

  • MarketingAppExtAction — Represents an Action Type, which is an action that you can add to Engagement Studio programs in Account Engagement and execute in a third-party app.
  • MarketingAppExtActivity — Represents an Activity Type, which is a prospect activity that occurs in a third-party app and can be used in Account Engagement automations.
  • MarketingAppExtAssignment — Salesforce standard object
  • MarketingAppExtension — Represents an integration with a third-party app or service that generates prospect external activity. Available in API version 53.0 and later.
  • MktDataConnection — Data Connection (Tooling API)
  • MktDataConnectionCred — Data Connection Credential (Tooling API)
  • MktDataConnectionParam — Data Connection Parameter (Tooling API)
  • MktDataConnectionSrcParam — Data Source Parameter (Tooling API)
  • MktDataLakeObject — Data Lake Object Definition (Tooling API)
  • MktDataModelField — Data Model Field (Tooling API)
  • MktDataModelObject — Data Model Object (Tooling API)
  • MktDataTranField — Data Transport Field (Tooling API)
  • PardotTenant — Represents an Account Engagement business unit.
  • ReferralMarketingConfig — Referral Marketing Config (Tooling API)

Install

rawctx snapshot-download @pasar6987/sf-tooling-marketing

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
datasets14
measures1
dimensions52
relationships0
AI context1
models/sf-tooling-marketing.osi.yamlAI context included
14 datasets1 measures52 dimensions0 relationships