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CSV Data Cleanup & Deduplication Service
x402
CSV Data Cleanup & Deduplication Service is a paid API for AI agents from well-016-datacleanup.mmelnyk2000.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-20).
Cleans a CSV file by trimming whitespace, normalizing dates/emails/phones, and merging or flagging duplicate rows, returning cleaned CSV plus a JSON report.
Price / call$0.005
Success—
StatusUnknown
How this service works
Clean a CSV ($0.005 USDC): give an https url or inline csv (max 1 MB / 20k rows). Trims whitespace, optional case rules, dates to ISO 8601, lowercases emails, normalizes phone digits, merges or flags exact + fuzzy duplicate rows on key_columns. Returns cleaned CSV text + JSON report (rows in/out, dupes, columns changed). Deterministic, no AI. As is, no warranty. Nothing stored.
Output
Returns the cleaned CSV text plus a JSON report detailing rows in, rows out, number of duplicates found or merged, and which columns were changed during normalization.
Example use cases
Pre-import contact list cleanup
“I have a contacts CSV at https://mysite.com/exports/crm_dump.csv — can you clean it up before I import it? Trim whitespace, normalize dates to ISO 8601, lowercase all emails, fix phone number formats, and deduplicate rows based on the email and phone columns.”
Standardize survey response data
“Here's my inline survey CSV data — can you clean it? Trim all whitespace, convert any date fields to ISO 8601, and flag any exact duplicate responses based on the respondent_id column.”
Deduplicate product catalog CSV
“I have a messy product catalog CSV at https://shop.example.com/products_export.csv with tons of near-duplicate entries — please clean it, normalize casing, and merge fuzzy duplicates based on the product_name and sku columns.”
Technical details
Endpoint
POSThttps://well-016-datacleanup.mmelnyk2000.workers.dev/mcp?utm_source=zero.xyz#data-cleanup#data-cleanupWhen to prefer
Choose this endpoint when you need a fast, deterministic, rule-based CSV cleaning pipeline without AI involvement — ideal for normalizing phone numbers, emails, dates, trimming whitespace, and deduplicating rows based on exact or fuzzy key-column matches. Best for files under 1 MB / 20k rows where reproducibility and no data storage are requirements. Not suited for AI-driven data enrichment, schema inference, or large-scale ETL.
Side effects
- CSV file exceeds 1 MB or 20,000 rows — request rejected
- URL is not publicly accessible or returns non-CSV content
- Malformed CSV that cannot be parsed
- Invalid key_columns names not found in header
- Network timeout fetching remote CSV URL
- Payment of $0.005 USDC not completed — request blocked
Tags
x402
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