HubPublic
PackagePublished package

@pasar6987/sf-net-zero-stationary-assets

Energy consumption and carbon footprint tracking for buildings and fixed installations.

Published package · Latest published 1.0.1 Mar 4, 2026 · 6 datasets / 155 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

6 datasets155 measures · 103 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

salesforcecrmnet-zerostationary-assets

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-stationary-assets

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-stationary-assets")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-net-zero-stationary-assets",
    datasets=["StnryAssetAnnualFact", "StnryAssetCrbnFtprnt"],
    max_tokens=2000,
)

print(model.datasets)        # ["StnryAssetAnnualFact", "StnryAssetCrbnFtprnt", "StnryAssetCrbnFtprntItm"]
print(model.measures)        # [Measure(name="StnryAssetAnnualFact.EmployeeCount", ...), Measure(name="StnryAssetAnnualFact.OccupiedFloorArea", ...), Measure(name="StnryAssetAnnualFact.Revenue", ...)]
print(model.dimensions)      # [Dimension(name="ApplicableYear", ...), Dimension(name="Description", ...), Dimension(name="LastReferencedDate", ...)]
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-stationary-assets

Energy consumption and carbon footprint tracking for buildings and fixed installations.

Overview

Count
Objects (Datasets)6
Dimensions103
Measures155
Relationships0

Objects

  • StnryAssetAnnualFact — Represents the information about stationary assets and their types, which is used to quantify the related intensity.
  • StnryAssetCrbnFtprnt — Represents the total carbon emissions and other environmental attributes from stationary assets. Carbon footprint quantifies the effect of atmospheric warming, which is represented in metric tonnes of carbon dioxide equivalent (tCO₂e). Additionally, it also quantifies various aspects of the energy performance of the asset.
  • StnryAssetCrbnFtprntItm — Represents the total tCO₂e emissions of individual fuel types, which are the child records of the stationary asset carbon footprint record.
  • StnryAssetEnrgyUse — Represents the energy consumption related to stationary assets across multiple fuel types.
  • StnryAssetEnvSrcCnfg — Represents the setup object that contains the mapping between the Stationary Asset Environmental Source record type and internal enums. You can primarily use this object for calculations across different record types.
  • StnryAssetEnvrSrc — Represents assets that are stationary in nature, use energy that can be recorded, and are the source of greenhouse gas emissions.

Install

rawctx snapshot-download @pasar6987/sf-net-zero-stationary-assets

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
datasets6
measures155
dimensions103
relationships0
AI context1
models/sf-net-zero-stationary-assets.osi.yamlAI context included
6 datasets155 measures103 dimensions0 relationships