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PackagePublished package

@pasar6987/sf-net-zero-carbon-credits

Carbon credit projects, allocations, distributions, and sustainability credit purchasing for offset programs.

Published package · Latest published 1.0.1 Mar 4, 2026 · 8 datasets / 29 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 datasets29 measures · 81 dimensions

Semantic Graph

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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

salesforcecrmnet-zerocarbon-credits

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-net-zero-carbon-credits

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-net-zero-carbon-credits")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-net-zero-carbon-credits",
    datasets=["CrbnCreditAlloc", "CrbnCreditAllocItem"],
    max_tokens=2000,
)

print(model.datasets)        # ["CrbnCreditAlloc", "CrbnCreditAllocItem", "CrbnCreditDistribution"]
print(model.measures)        # [Measure(name="CrbnCreditAlloc.AllocatedCarbonCrCost", ...), Measure(name="CrbnCreditAlloc.NetEmissionsInTco2e", ...), Measure(name="CrbnCreditAlloc.NetScope1EmssnInTco2e", ...)]
print(model.dimensions)      # [Dimension(name="AnnualEmssnInventoryId", ...), Dimension(name="LastReferencedDate", ...), Dimension(name="LastViewedDate", ...)]
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-net-zero-carbon-credits

Carbon credit projects, allocations, distributions, and sustainability credit purchasing for offset programs.

Overview

Count
Objects (Datasets)8
Dimensions81
Measures29
Relationships0

Objects

  • CrbnCreditAlloc — Represents information about how the carbon credits are allocated by an organization to offset their emissions.
  • CrbnCreditAllocItem — Represents information about carbon credit allocation and emissions related to each emission activity.
  • CrbnCreditDistribution — Represents a junction between the sustainability credit and carbon credit allocation objects. To offset emissions for carbon credit allocation items, specify the emissions activity on this junction object.
  • CrbnCreditProject — Represents information about the environmental project that generates carbon credits by removing greenhouse gasses or preventing a certain quantity of greenhouse gasses from being released.
  • CrbnEmssnScopeAlloc — Represents the allocation of fuel consumption for different scope emissions. For an energy use record, tCO₂e is calculated and the results are classified as either Scope 1, Scope 2, or Scope 3 emission values. Each individual fuel type has its own scope allocation record. To put the tCO2e result in the correct scope, the energy use record points to the scope allocation record.
  • CrbnEmssnScopeAllocVal — Represents the scope allocation by fuel type.
  • SustainabilityCredit — Represents information about the sustainability credits that are a part of a sustainability purchase.
  • SustainabilityPurchase — Represents information related to the sustainability credits purchases such as carbon credits.

Install

rawctx snapshot-download @pasar6987/sf-net-zero-carbon-credits

Structure review

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Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1
datasets8
measures29
dimensions81
relationships0
AI context1
models/sf-net-zero-carbon-credits.osi.yamlAI context included
8 datasets29 measures81 dimensions0 relationships