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@pasar6987/uppromote

uppromote API schema: 3 streams, 32 fields.

OSISchema 1.0Domain marketingOwner @pasar6987

Native (downloadable) · Latest 1.0.0 published Mar 4, 2026 · 3 datasets / 6 measures in the latest preview · Updated Mar 11, 2026

Snapshot

Registry facts before deep inspection

Format, origin, ownership, and release context surface first so the package can be qualified quickly.

Format

OSI

Latest release

1.0.0Published Mar 4, 2026

Origin

Native (downloadable)Managed directly in rawctx

Installability

DownloadableDirect rawctx snapshot download

Domain

marketing

Source

Not linked

Owner

@pasar6987

Organization

Independent

Repository

Not linked

License

MIT

Visibility

Public

Tags

uppromotedata-integration

Schema preview

OSI 1.0

Model preview

Structure before documentation

Preview the package footprint first, then open the dedicated explorer if you need field-level inspection.

Models1
Datasets3
Measures6
Dimensions26
Relationships0
AI context1
models/uppromote.osi.yamlAI context included
3 datasets6 measures26 dimensions0 relationships

Python handoff

Use this package directly in code

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/uppromote

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/uppromote")
prompt = rawctx.to_prompt(
    "@pasar6987/uppromote",
    datasets=["affiliates", "coupons"],
    max_tokens=2000,
)

print(model.datasets)        # ["affiliates", "coupons", "referrals"]
print(model.measures)        # [Measure(name="affiliates.created_at_timestamp", ...), Measure(name="affiliates.email_verified", ...), Measure(name="affiliates.status", ...)]
print(model.dimensions)      # [Dimension(name="affiliate_link", ...), Dimension(name="affiliate_setting", ...), Dimension(name="coupons", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package qualifies on source, preview, and installability.

@pasar6987/uppromote

uppromote API schema — 3 streams, 32 fields.

Overview

Count
Streams (Datasets)3
Dimensions26
Measures6
Relationships0

Streams

  • affiliates — affiliates data from uppromote
  • coupons — coupons data from uppromote
  • referrals — referrals data from uppromote

Install

rawctx snapshot-download @pasar6987/uppromote

Topology

Semantic graph

Use the graph last, once the package has already qualified on release state, preview, and documentation.

Semantic Graph

Datasets 0 / Measures 0 / Dimensions 0 / Relationships 0

Loading semantic graph...

PackageDatasetMeasureDimensionRelationship