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Staking Rewards String Normalisation and Keyed Dataset Comparison
x402
Staking Rewards String Normalisation and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Normalises strings and performs keyed comparison of two staking rewards datasets (reward_units, staked_units) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Staking supplied rewards — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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: (1) a string normalisation report standardising instrument_group and other string fields across rows, and (2) a keyed dataset comparison report mapping rows from both datasets by row_id to surface differences in reward_units and staked_units. Results are based entirely on the supplied data with no external lookups.
Example use cases
Monthly staking reward reconciliation
“I have last month's staking rewards from two different sources — both have up to 150 rows with row_id, date, instrument_group, reward_units, and staked_units — please normalise the strings and compare them keyed by row_id so I can see exactly where the reward_units diverge.”
Cross-provider staking data audit
“We pulled staking reward data from two providers for the same period, each about 80 rows with reward_units and staked_units per instrument_group — can you run a keyed comparison and string normalisation on both datasets to flag any discrepancies?”
Pre-report staking data validation
“Before I finalise our quarterly staking report, can you take these two datasets of up to 200 rows each — with row_id, date, instrument_group, reward_units and staked_units — normalise the strings and compare them row by row to catch any mismatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-15-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reconcile or diff two batches of staking reward records (up to 200 rows each) using string normalisation and keyed row-level comparison, and you want a local analytical result with no external data fetching. Ideal for auditing, reconciliation, or pre-reporting validation of staking reward data where you already have both datasets available.
Side effects
- Payload exceeds 200 rows — returns validation error
- Missing required fields (row_id, date, instrument_group, reward_units, staked_units) on any row — returns schema validation error
- Date not in YYYY-MM-DD format — returns pattern validation error
- row_id is empty or exceeds 80 characters — returns validation error
- Numeric values outside ±1,000,000,000,000 range — returns validation error
- Empty rows array — returns minItems validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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