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Token Holder Observations — Blank Row Report
x402
Token Holder Observations — Blank Row Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Validates a CSV of token holder observations and identifies blank/empty rows in the dataset, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token holder observations — Blank row report: Blank row report 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 blank row report report.
Output
A structured report identifying which rows in the submitted token holder observations CSV are blank or empty, along with validation status for the dataset up to 1000 rows. No external enrichment is applied — results are based solely on the submitted CSV content.
Example use cases
Pre-upload data quality check
“Before I upload this token holder observations file to our dashboard, can you scan it for blank rows using a comma delimiter? I want to make sure no records are missing data — here's the CSV content.”
Automated pipeline validation
“Run a blank row check on this token holder observations CSV — use comma as the delimiter and flag any empty rows so I can clean them before the next batch job runs.”
Audit holder data completeness
“I need to audit our token holder observations dataset for data completeness. Can you generate a blank row report on this CSV, using allowed categories group-a and group-b, and tell me which rows are empty or invalid?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-token-holders-empty-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to detect blank or empty rows in a token holder observations CSV dataset. It is purpose-built for this schema (observation_id, observed_on, token_address, holder_count, circulating_tokens) and handles quoted cells correctly. Prefer it over generic CSV validators when working with token holder data and needing a fast, cheap ($0.01 USDC) completeness check without external enrichment.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains fewer than 1 character — rejected as empty
- More than 1000 rows submitted — validation may be truncated or rejected
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell length exceeds max_cell_length limit — validation error
- Malformed CSV structure (unmatched quotes) — parsing error
- Payment of 0.01 USDC not completed — 402 response
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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