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Staking Supplied Rewards — String Normalisation + IQR Outlier Flags
x402
Staking Supplied Rewards — String Normalisation + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Normalises string fields and flags IQR-based outliers in staking reward and staked-unit records for up to 200 rows, producing 2 analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Staking supplied rewards — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied staking supplied rewards records (reward_units, staked_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports per call: one covering string normalisation results for the instrument_group and date fields, and one providing IQR-based outlier flags for the selected numeric field (reward_units or staked_units). Each report covers up to 200 submitted rows and is computed locally with no external data lookups.
Example use cases
Staking rewards data quality audit
“I have 120 rows of daily staking data with reward_units and staked_units for two instrument groups — 'btc-pool' and 'eth-validator' — can you normalise the string fields and flag any IQR outliers in reward_units so I can identify dirty records before reporting?”
Detecting anomalous staking payouts
“My staking provider just gave me a CSV of 80 daily reward records across instrument groups 'cardano-stake' and 'solana-stake'. Can you check the staked_units column for IQR outliers and also normalise the instrument group strings, so I can spot any suspicious payouts?”
Pre-pipeline staking data validation
“Before I load this staking history into our data warehouse, please run string normalisation and IQR outlier flagging on these 200 rows of reward data — the key fields are reward_units and staked_units, instrument group is 'polkadot-validator', and I want flags on the reward_units column.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-15-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of staking reward records — specifically string normalisation plus IQR outlier detection — without needing live market data, predictions, or external lookups. It is ideal for data quality checks before ingesting staking data into pipelines, warehouses, or reports, and is cost-effective at $0.01 USDC for two reports on up to 200 rows.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside ±1,000,000,000,000 — schema range error
- Missing required fields (row_id, instrument_group, date, reward_units, staked_units) — 400-level error
- Invalid field enum value (not 'reward_units' or 'staked_units') — enum validation error
- Payment of 0.01 USDC not provided — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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