Format
@pasar6987/uppromote
uppromote API schema: 3 streams, 32 fields.
Native (downloadable) · Latest 1.0.0 published Mar 4, 2026 · 3 datasets / 6 measures in the latest preview · Updated Mar 11, 2026
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@pasar6987Organization
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Schema preview
Model preview
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Python handoff
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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
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@pasar6987/uppromote
uppromote API schema — 3 streams, 32 fields.
Overview
| Count | |
|---|---|
| Streams (Datasets) | 3 |
| Dimensions | 26 |
| Measures | 6 |
| Relationships | 0 |
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...
