HubPublic
PackagePublished package

@pasar6987/sf-metadata-data-quality

Duplicate detection, matching rules, data cleansing services, and external data source connections.

Published package · Latest published 1.0.1 Mar 4, 2026 · 10 datasets / 3 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

10 datasets3 measures · 132 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

salesforcecrmmetadatadata-quality

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-metadata-data-quality

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-metadata-data-quality")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-metadata-data-quality",
    datasets=["CleanDataService", "CleanRule"],
    max_tokens=2000,
)

print(model.datasets)        # ["CleanDataService", "CleanRule", "DuplicateRule"]
print(model.measures)        # [Measure(name="CleanRule.MatchConfidence", ...), Measure(name="FieldMappingField.Priority", ...), Measure(name="MatchingRuleItem.SortOrder", ...)]
print(model.dimensions)      # [Dimension(name="Description", ...), Dimension(name="DeveloperName", ...), Dimension(name="Language", ...)]
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-metadata-data-quality

Duplicate detection, matching rules, data cleansing services, and external data source connections.

Overview

Count
Objects (Datasets)10
Dimensions132
Measures3
Relationships1

Objects

  • CleanDataService — Represents a data service that adds and updates data in existing records in an org.
  • CleanRule — Represents a data integration rule that controls how a data service adds and updates data for existing records in an org.
  • DuplicateRule — Represents a duplicate rule for detecting duplicate records.
  • ExternalDataSource — Represents the metadata associated with an external data source. Create external data sources to manage connection details for integration with data and content that are stored outside your Salesforce org.
  • ExternalServiceRegistration — Represents the External Service configuration for an org.
  • FieldMapping — Represents a mapping between fields in an object in the org and fields in a data service. A data service uses two separate field maps: one controls how the data service matches records in an object, and the other controls how the data service adds or updates data for an existing record.
  • FieldMappingField — Represents a field in an object in the org that maps to a field in a data service.
  • FieldMappingRow — Represents a field in a data service record that maps to a field in an object record in the org.
  • MatchingRule — Setup object specifying a MatchingRule to use with DuplicateJob instances that share a DuplicateJobDefinition. Available in Tooling API version 42.0 and later.
  • MatchingRuleItem — Represents criteria used by a matching rule to identify duplicate records.

Install

rawctx snapshot-download @pasar6987/sf-metadata-data-quality

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
datasets10
measures3
dimensions132
relationships1
AI context1
models/sf-metadata-data-quality.osi.yamlAI context included
10 datasets3 measures132 dimensions1 relationships