HubPublic
PackagePublished package

@pasar6987/sf-loyalty-loyalty-tiers

Multi-tier loyalty structures with tier groups, benefits, promotions, membership fee options, and member rewards.

Published package · Latest published 1.0.1 Mar 4, 2026 · 8 datasets / 7 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

8 datasets7 measures · 111 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

salesforcecrmloyaltyloyalty-tiers

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-loyalty-loyalty-tiers

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-loyalty-loyalty-tiers")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-loyalty-loyalty-tiers",
    datasets=["BenefitAction", "BenefitParameterValue"],
    max_tokens=2000,
)

print(model.datasets)        # ["BenefitAction", "BenefitParameterValue", "LoyaltyTier"]
print(model.measures)        # [Measure(name="LoyaltyTier.MaximumEligibleBalance", ...), Measure(name="LoyaltyTier.MinimumEligibleBalance", ...), Measure(name="LoyaltyTier.SequenceNumber", ...)]
print(model.dimensions)      # [Dimension(name="Description", ...), Dimension(name="DeveloperName", ...), Dimension(name="FlowDefinition", ...)]
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-loyalty-loyalty-tiers

Multi-tier loyalty structures with tier groups, benefits, promotions, membership fee options, and member rewards.

Overview

Count
Objects (Datasets)8
Dimensions111
Measures7
Relationships2

Objects

  • BenefitAction — Represents details of an action that can be triggered for a benefit.
  • BenefitParameterValue — Represents the runtime value of a parameter that's used when executing a flow for benefit action.
  • LoyaltyTier — Represents information about tiers of a loyalty program. A tier group has a set of tiers in a sequential order.
  • LoyaltyTierBenefit — A junction object that associates the loyalty benefits with the loyalty program tiers.
  • LoyaltyTierGroup — Represents information about tier groups of a loyalty program. Tier group categorizes members based on their loyalty points.
  • LoyaltyTierMshpFeeOption — Represents the options by which members can pay for tier or club memberships.
  • LoyaltyTierPromotion — Represents a junction between a member tier and a loyalty promotion.
  • MemberBenefit — Represents details about a benefit that’s assigned to a loyalty program member and has a benefit action that’s triggered.

Install

rawctx snapshot-download @pasar6987/sf-loyalty-loyalty-tiers

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
datasets8
measures7
dimensions111
relationships2
AI context1
models/sf-loyalty-loyalty-tiers.osi.yamlAI context included
8 datasets7 measures111 dimensions2 relationships