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Token Holder Observations — Exact Row Duplicate Checker
x402
Token Holder Observations — Exact Row Duplicate Checker is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Validates a CSV of token holder observations and returns a report identifying exact duplicate rows, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token holder observations — Exact row duplicates: Exact row duplicates for Token holder observations. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV exact row duplicates report.
Output
Returns a CSV exact row duplicates report indicating which rows are exact duplicates, including row identifiers and counts, validated against the declared schema contract with up to 1000 rows processed.
Example use cases
Audit DeFi holder snapshot for duplicates
“I have a CSV of daily token holder snapshots for my DeFi protocol and I need to find any exact duplicate rows before I publish the report — can you run it through the duplicate checker with comma delimiters and allowed categories group-a and group-b?”
Data pipeline quality gate for token data
“Before we ingest this token holder observation file into our data warehouse, can you validate it for exact duplicate rows? It's comma-delimited, max 1000 rows, categories are group-a and group-b.”
Verify clean token holder time series
“Can you check whether my token holder time series CSV has any fully duplicated observation records? Use comma as the delimiter and flag anything that appears more than once.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-token-holders-duplicate-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to detect exact duplicate rows in token holder observation CSVs with a lightweight, low-cost ($0.01 USDC) validation call. Best suited for blockchain/DeFi data quality checks on structured holder snapshots with known category values. Prefer this over general-purpose deduplication tools when working with the token holder observations schema (observation_id, observed_on, token_address, holder_count, circulating_tokens).
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains more than 1000 rows — truncated or rejected
- Cell exceeds max_cell_length — validation error returned
- Delimiter mismatch causes parsing failure
- Category values outside allowed_categories list trigger validation warnings
- Malformed quoted cells cause parse errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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