Multi-Source Data Cleanser#

Upload messy data — get clean, structured output. Supports multi-format parsing, AI field identification, intelligent dedup/fill/formatting, multi-source join, and Feishu-native output (Bitable + quality report doc).

Use cases: E-commerce order cleanup, CRM customer data cleansing, bank statement reconciliation, roster cleanup, multi-system data merge.

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Capabilities#

F1 · Multi-Format Parsing#

• Excel (.xlsx / .xls)
• CSV / TSV
• JSON (semi-structured)
• Clipboard paste text

F2 · Smart Field Identification#

• AI auto-detects: name, phone, email, address, amount, date, SKU, order ID, ID number, gender, etc.
• Supports user-defined field mapping override

F3 · Data Cleaning#

• Deduplication: Exact match + fuzzy dedup (FuzzyWuzzy, threshold 88%)

• Missing value fill: Mean / mode / semantic inference / leave blank

• Format standardization:

  • Phone → 1xx-xxxx-xxxx
  • Date → YYYY-MM-DD
  • Amount → 2 decimal places
  • Address → Province/City/District/Street standardization

F4 · Data Classification / Tagging (Pro)#

• 8 built-in business rules (high-value customer, dormant user, VIP, enterprise, etc.)
• Supports custom JSON rules
• AI auto-tagging (requires Pro + AI API Key)

F5 · Multi-Source Join / Merge (Pro)#

• Cross-file relational join on key fields
• Fuzzy join when exact key not available (FuzzyWuzzy)
• Conflicted field resolution: priority by source order or latest timestamp

F6 · Feishu Native Output#

• Excel / CSV export
• Feishu Bitable (multi-dimensional table) write-back
• Data quality report auto-generated as Feishu Doc (Markdown)

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Tier Feature Matrix#

FeatureFreeBasicStandardProMulti-format parsing✅✅✅✅Basic dedup✅✅✅✅Monthly rows505003,000UnlimitedData sources13UnlimitedUnlimitedSmart fill❌❌✅✅Format standardization❌❌✅✅Fuzzy dedup❌❌✅✅Multi-source merge❌❌❌✅AI classification❌❌❌✅Data quality report❌❌❌✅Feishu Bitable output❌❌❌✅

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Pricing#

TierPriceMonthly RowsSourcesFree¥0501Basic¥29/mo5003Standard¥99/mo3,000UnlimitedPro¥299/moUnlimitedUnlimited

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Usage#

Feishu Trigger#

text

data cleaning
deduplication
spreadsheet cleanup
CRM data cleanup
Excel cleaning

CLI#

bash

python scripts/main.py clean -i data.xlsx -o cleaned.xlsx
python scripts/main.py clean -t "name,phone\nJohn,13800138000" -f csv -o cleaned.csv
python scripts/main.py merge --sources customers.xlsx orders.csv --on phone -o merged.xlsx

Python API#

python

from main import run_clean_pipeline

result = run_clean_pipeline(
    sources=["orders.xlsx"],
    output_format="xlsx",
    output_path="/tmp/cleaned.xlsx",
    dedup_strategy="auto",
    fill_strategy="auto",
    classify=True,
    ai_model="deepseek",
    generate_report=True,
)

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Configuration#

VariableRequiredDescriptionDATA_CLEANER_API_KEYFor AI featuresMiniMax or DeepSeek API KeyDATA_CLEANER_TIERRecommendedSubscription tier (free/basic/std/pro)

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Directory Structure#

text

multi-source-data-cleaner/
├── SKILL.md
├── README.md
├── scripts/
│   ├── main.py              # Entry: run_clean_pipeline / run_merge_pipeline
│   ├── parser.py            # F1: Multi-format parsing
│   ├── field_identifier.py # F2: AI field identification
│   ├── cleaner.py           # F3: Cleaning engine
│   ├── classifier.py        # F4: Classification / tagging
│   ├── merger.py            # F5: Multi-source join
│   ├── reporter.py          # F6: Quality report generation
│   ├── output.py            # F6: Output (Excel/CSV/Bitable/Feishu Doc)
│   └── tier_limits.py       # Tier access control + API key verification
└── tests/
    ├── test_parser.py
    ├── test_cleaner.py
    └── test_field_identifier.py

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License#

MIT

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