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Mining Pool Shares — Record Quality Audit + String Normalisation + Missing-Value Fill
x402
Mining Pool Shares — Record Quality Audit + String Normalisation + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Audits, normalises, and fills missing values in mining pool share records (accepted_shares, rejected_shares) across up to 200 rows, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining pool shares — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied mining pool shares records (accepted_shares, rejected_shares). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent reports per call: (1) a record quality audit flagging data issues across the supplied rows, (2) a string normalisation report standardising text fields like instrument_group, and (3) an explicit missing-value fill report showing imputed values for the specified field (accepted_shares or rejected_shares) using the chosen method (zero, mean, or median). No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Pre-analysis data cleaning for mining pool
“I have 120 rows of daily mining pool share records with some missing accepted_shares values — can you audit the data quality, normalise the instrument_group strings, and fill in missing accepted_shares using the median across the dataset?”
Rejected shares data validation pipeline
“Before I load this mining pool data into our dashboard, can you run a quality audit and string normalisation on these 80 rows, and fill any missing rejected_shares values with zero?”
Multi-pool share record hygiene check
“I've got share records from three different mining pools combined into 150 rows — can you check them for quality issues, normalise the text fields, and impute any missing accepted_shares using the mean method?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-02-208?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw mining pool share data (accepted_shares, rejected_shares) that needs systematic quality auditing, text normalisation, and missing-value imputation before downstream analysis or storage — especially when you need all three operations delivered as distinct reports in a single cheap call. Prefer it over general-purpose data cleaning tools when your data is specifically structured around mining pool share records with the expected schema fields.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, instrument_group, date, accepted_shares, rejected_shares) — validation error
- Date values not matching YYYY-MM-DD format — pattern validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection
- Invalid method enum value (not zero/mean/median) — schema validation error
- Invalid field enum value (not accepted_shares/rejected_shares) — schema validation error
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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