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Liquidity Observations — Exact Row Deduplication + Date by Category Pivot
x402
Liquidity Observations — Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Deduplicates liquidity observation records and generates a date-by-instrument-group pivot table for base_quantity or quote_quantity fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Liquidity observations — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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
Two analytical reports: (1) a deduplicated set of liquidity observation records with exact duplicate rows removed, and (2) a pivot table cross-tabulating dates against instrument groups with aggregated values for the selected field (base_quantity or quote_quantity). Both reports are computed locally on the supplied data with no external lookups.
Example use cases
DeFi liquidity pool reporting
“I've got daily liquidity pool observations across groups like 'ETH-USDC' and 'BTC-USDT' with base and quote quantities — can you deduplicate the rows and pivot the base_quantity by date and instrument group so I can see supply across pools over time?”
Auditing duplicate liquidity entries
“Our data pipeline sometimes produces duplicate liquidity records. Can you run exact deduplication on these rows and also give me a pivot of quote_quantity by date and category so I can spot anomalies?”
Instrument group comparison over dates
“I want to compare base_quantity across different instrument groups day by day. Here are my 150 liquidity observation records — please deduplicate them and create a date-by-instrument-group pivot for base_quantity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-10-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 liquidity observation records with instrument group and date dimensions and need both exact duplicate removal and a cross-tabulated pivot view in a single low-cost call. It is ideal for DeFi or traditional finance liquidity supply analytics where data quality (deduplication) and dimensional summarization (date × category) are needed together without any live market data or external dependencies.
Side effects
- Input rows exceed 200 items — request rejected
- Missing required fields (row_id, date, instrument_group, base_quantity, quote_quantity) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- base_quantity or quote_quantity values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (must be 'base_quantity' or 'quote_quantity') causes error
- Empty rows array (minItems:1 not met) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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