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Liquidity Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Liquidity Observations — Adjacent Row Changes + 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 2026-11-02).
Computes adjacent row-to-row changes and a secondary-measure weighted mean across up to 200 liquidity observation records (base_quantity, quote_quantity) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Liquidity observations — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied liquidity observations records (base_quantity, quote_quantity). 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 computed locally: (1) an adjacent row changes report showing sequential differences between consecutive rows for the selected field (base_quantity or quote_quantity), and (2) a secondary-measure weighted mean report providing a weighted average using the secondary quantity measure across the supplied records, covering up to 200 input rows.
Example use cases
Daily liquidity delta tracking
“Here are 10 days of liquidity records for two instrument groups with base_quantity and quote_quantity — can you calculate the day-over-day changes and give me the weighted mean on base_quantity for all rows?”
Quote quantity weighted mean for rebalancing
“I have 50 liquidity observation rows across several instrument groups from the past quarter; please run the adjacent row change report and the secondary-measure weighted mean on quote_quantity so I can see how the weighting shifts.”
Instrument group liquidity comparison
“I need to compare sequential movements in base_quantity across my 30 liquidity observation records for group-a and group-b — run both the adjacent row changes and the weighted mean analysis on base_quantity and return both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-10-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected liquidity observation records (base_quantity and quote_quantity) and need two specific statistical computations — sequential row-to-row deltas and a weighted mean — performed offline without any live data lookup, prediction, or external action. Ideal for batch post-processing of up to 200 liquidity rows where both analytics are needed in a single $0.01 USDC call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, base_quantity, quote_quantity, instrument_group) — validation error
- Date not in YYYY-MM-DD format — pattern validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Empty rows array — minItems constraint violation
- Invalid field enum value (not base_quantity or quote_quantity) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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