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Staking Rewards Trailing Mean Series + Keyed Dataset Comparison
x402
Staking Rewards Trailing Mean Series + 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 2026-10-23).
Computes trailing mean time series and performs keyed dataset comparison on staking reward and staked unit records for up to 200 rows across two datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Staking supplied rewards — Trailing mean series + Keyed dataset comparison: Trailing mean series + 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
Returns two analytical reports: (1) a trailing mean time series for the selected field (reward_units or staked_units) across the supplied rows, showing smoothed values over time; and (2) a keyed dataset comparison between the primary and secondary datasets, highlighting differences in reward or staked unit values per matching row key and instrument group.
Example use cases
Monthly staking reward trend smoothing
“I have daily staking reward records for October and November for two instrument groups. Can you compute a trailing mean series on the reward_units so I can see the smoothed trend, and also compare the two months side by side as a keyed dataset comparison?”
Validator performance comparison across epochs
“I want to compare staking performance between two validator groups. I have up to 150 rows per group with reward_units and staked_units per day. Can you run a trailing mean on reward_units and tell me where the two groups diverge using a keyed comparison?”
Yield consistency audit across staking instruments
“Can you analyze my staking data to check yield consistency? I have two datasets — one for ETH staking and one for SOL staking — each with daily reward_units and staked_units. Run a trailing mean series and compare them by key so I can see where they align or diverge.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-15-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing mean time series and a keyed comparison between two staking datasets in a single API call at low cost. It is ideal for offline/batch analytics on user-supplied staking records where no live data lookup or prediction is needed. Prefer this over general-purpose analytics tools when working specifically with reward_units and staked_units fields and you want two reports bundled for $0.01 USDC.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, instrument_group, reward_units, staked_units) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in reward_units or staked_units may affect trailing mean calculation accuracy
- Empty rows array returns an error
- Payment of 0.01 USDC not included causes 402 rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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