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Liquidity Observations — Duplicate Key Report + Adjacent Row Changes
x402
Liquidity Observations — Duplicate Key Report + Adjacent Row Changes 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).
Analyzes supplied liquidity observation records to produce a duplicate key report and an adjacent row change report for base_quantity or quote_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Liquidity observations — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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 reports: (1) a duplicate key report identifying rows where row_id or key combinations repeat across the supplied records, and (2) an adjacent row change report showing value shifts in the selected field (base_quantity or quote_quantity) between consecutive rows. Covers up to 200 input rows per call.
Example use cases
Audit liquidity data for duplicate keys
“I have 120 rows of liquidity observations with row_id, instrument_group, date, base_quantity, and quote_quantity — can you run a duplicate key report on them and also flag any adjacent row changes in base_quantity?”
Detect sequential quote quantity shifts
“Take these 80 liquidity observation records and give me a report on any duplicate row IDs plus show me where quote_quantity changes between consecutive rows.”
Pre-pipeline data quality check
“Before I load this liquidity dataset into our system, I need to check for duplicate keys and adjacent value changes in base_quantity — there are about 150 rows organized by instrument_group and date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-10-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.01 USDC) offline data quality check on liquidity observation records — specifically to detect duplicate row keys and identify value changes between adjacent rows in base_quantity or quote_quantity. It is ideal for pre-ingestion validation of small-to-medium datasets (up to 200 rows) where no live market lookup or external prediction is required.
Side effects
- More than 200 rows submitted — request is rejected or truncated
- Missing required fields (row_id, instrument_group, date, base_quantity, or quote_quantity) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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