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Mining Share Aggregates — Blank Row Report
x402
Mining Share Aggregates — 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 2026-10-15).
Validates a CSV file of mining share aggregate data and reports all blank (empty) rows found within it.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining share aggregates — Blank row report: Blank row report for Mining share aggregates. 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 blank (empty) rows found in the submitted CSV, including row positions or indices and a summary count of empty rows detected, based on the declared table contract for mining share aggregate data.
Example use cases
Pre-import data quality check
“Before I load this mining shares CSV into our database, can you scan it for blank rows? It's comma-delimited with worker groups group-a and group-b, and I need to know which rows are completely empty so I can fix them first.”
Automated mining data pipeline validation
“As part of our nightly pipeline, validate the latest mining share aggregates CSV file for blank rows — it uses comma separators, max cell length of 1000, and only allows group-a, group-b, and group-c as categories.”
Audit historical share records for gaps
“I have a historical CSV of mining accepted and rejected shares going back to 2025 — can you run a blank row report on it to find any observation records that are completely empty? Delimiter is comma, categories are group-a through group-d.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-mining-shares-empty-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to specifically detect and report blank/empty rows in a mining share aggregates CSV (with columns like observation_id, observed_on, worker_id, accepted_shares, rejected_shares). It is purpose-built for this data shape and preset, rather than a generic CSV validator. Ideal for pre-import data quality checks, automated pipeline validation, or auditing historical mining datasets for data gaps.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV is malformed or unparseable — validation error returned
- Cell length exceeds max_cell_length setting — row flagged or rejected
- Delimiter mismatch causes incorrect parsing — no blank rows detected despite existing ones
- Empty CSV string submitted — immediate validation error
- Category values not in allowed_categories list — may cause validation failure
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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