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Statistical Intelligence as a Service — rigorous analysis skills via API

Project description

DataBubble SDK

Statistical Intelligence as a Service.

pip install databubble httpx pandas

Quick start

from databubble import DataBubble
import pandas as pd

db = DataBubble(api_key="dbk_...")

# Univariate analysis
result = db.skills.univariate(df["price"])
print(result.summary)
print(result.warnings)

# Missing value profiling
result = db.skills.missing_values(df)

# Export session memory for next session
mem = db.memory.export(df, label="POS data June 2026")
mem.save("pos_memory.json")

Available skills

Skill Input What it does
univariate Series or DataFrame + column= Distribution analysis, skewness, bounded ordinal detection, MNAR flags
outliers Series or DataFrame + column= IQR + Z-score outlier detection
missing_values DataFrame MCAR/MAR/MNAR profiling, treatment recommendations
leakage DataFrame + outcome= Post-outcome timing detection, correlation proxy check
bivariate DataFrame + x= + y= Relationship analysis, linearity check
correlation DataFrame + x= + y= Pearson + Spearman, non-linearity flag

Tiers

Tier Price Calls/month Skills
Developer Free 500 Core analysis skills
Pro $49/month 10,000 All skills
Business $299/month 100,000 All skills + journey endpoints
Enterprise Custom Unlimited Everything

Get a key at databubble.ai.

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