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Staking Supplied Rewards — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Staking Supplied Rewards — Numeric Row Ordering + Secondary-Measure Weighted Mean 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).
Computes numeric row ordering and secondary-measure weighted mean analytics on up to 200 staking reward records (reward_units, staked_units) across instrument groups and dates.
Price / call$0.01
Success—
StatusUnknown
How this service works
Staking supplied rewards — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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
Returns two independent analytical reports for the supplied staking data: (1) numeric row ordering — records sorted/ranked by the chosen field (reward_units or staked_units), and (2) a secondary-measure weighted mean — a weighted average of the selected field using the other measure as weights. Both reports are computed locally from the supplied rows without any external lookups.
Example use cases
Ranking staking rewards by daily output
“I've got daily staking data for two validator groups over the past week — each row has a date, group name, reward_units, and staked_units. Can you rank the rows numerically by reward_units and give me the weighted mean using staked_units as the secondary measure?”
Comparing instrument groups by staked weight
“I have about 50 rows of staking records across three instrument groups with dates from last quarter. Please order them numerically and compute the weighted mean of staked_units so I can see which group has the heaviest stake-weighted performance.”
Auditing anomalous reward unit values
“Here are 120 staking reward records from my validators — each has a row_id, date, instrument_group, reward_units, and staked_units. I want to rank them by reward_units and calculate the secondary-measure weighted mean so I can spot which rows are pulling the average up or down.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-15-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both rank staking reward records numerically and compute a secondary-measure weighted mean in a single call, specifically for datasets with reward_units and staked_units fields across instrument groups and dates (up to 200 rows). It is ideal for DeFi/staking analytics workflows where you want two complementary statistical views of the same dataset at minimal cost ($0.01 USDC for both reports). Prefer alternatives if you need real-time price lookups, external data enrichment, or datasets exceeding 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, instrument_group, date, reward_units, or staked_units) — validation error
- Date field not matching YYYY-MM-DD format — pattern validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Empty rows array — minItems constraint failure
- Payment of 0.01 USDC not received — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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