Release path
1.0.1Published Mar 4, 2026PackagePublished package
@pasar6987/sf-core-attribution-analysis
Multi-touch attribution models, analysis configurations, insight generation, and setup files for understanding the impact of marketing and sales interactions.
OSISchema 0.1.1Domain crmSource developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference
Published package · Latest published 1.0.1 Mar 4, 2026 · 7 datasets / 6 measures in the latest review · Updated Mar 11, 2026
Publisher
@pasar6987Published Mar 4, 2026Structure snapshot
7 datasets6 measures · 115 dimensionsSemantic Graph
Relationship counts appear after the graph loads.
Loading graph
Package graph is loadingPackage 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
Domain
Source
Owner
@pasar6987Organization
Independent
License
MIT
Visibility
Public hub listing
Publisher
@pasar6987Published Mar 4, 2026
Latest published version
1.0.1Published Mar 4, 2026
Tags
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-core-attribution-analysis
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-core-attribution-analysis")
prompt = rawctx.to_prompt(
"@pasar6987/sf-core-attribution-analysis",
datasets=["AnalysisConfiguration", "AnalysisInsight"],
max_tokens=2000,
)
print(model.datasets) # ["AnalysisConfiguration", "AnalysisInsight", "AnalysisSetup"]
print(model.measures) # [Measure(name="AnalysisConfiguration.BinaryClassificationThreshold", ...), Measure(name="AnalysisSetup.BinaryClassificationThreshold", ...), Measure(name="AttribModel.GlobalAttributionWindowDays", ...)]
print(model.dimensions) # [Dimension(name="Id", ...), Dimension(name="IsDeleted", ...), Dimension(name="DeveloperName", ...)]
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-core-attribution-analysis
Multi-touch attribution models, analysis configurations, insight generation, and setup files for understanding the impact of marketing and sales interactions.
Overview
| Count | |
|---|---|
| Objects (Datasets) | 7 |
| Dimensions | 115 |
| Measures | 6 |
| Relationships | 4 |
Objects
- AnalysisConfiguration — Analysis Configurations - AnalysisConfiguration
- AnalysisInsight — Analysis Insights - AnalysisInsight
- AnalysisSetup — Analysis Setups - AnalysisSetup
- AnalysisSetupFile — Analysis Setup Files - AnalysisSetupFile
- AttribModel — Represents an attribution model used with Personalization, Attribution, and Campaign Influence, including model weights and touch type.
- AttribModelStage — Salesforce standard object
- AttribModelStageMetric — Salesforce standard object
Install
rawctx snapshot-download @pasar6987/sf-core-attribution-analysis
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.
models/sf-core-attribution-analysis.osi.yamlAI context included
7 datasets6 measures115 dimensions4 relationships