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Liquidity Observations — String Normalisation + Duplicate Key Report
x402
Liquidity Observations — String Normalisation + Duplicate Key Report 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).
Runs string normalisation and duplicate key detection reports on up to 200 liquidity observation records containing base and quote quantities.
Price / call$0.01
Success—
StatusUnknown
How this service works
Liquidity observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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 independent analytical reports: (1) a string normalisation report identifying and standardising string fields such as instrument_group across the submitted rows, and (2) a duplicate key report flagging rows with repeated identifiers or key combinations within the supplied dataset. No external lookups or live data are used; all analysis is performed locally on the submitted rows.
Example use cases
Audit trading desk liquidity records
“I have 120 rows of liquidity observations from our trading desk — each row has a row_id, instrument_group like 'ETH-USD', a date, base_quantity, and quote_quantity. Can you run a duplicate key report and string normalisation check on all of them so I can spot any inconsistencies before we submit?”
Clean instrument group labels before analysis
“Before I run my liquidity analysis, I need to normalise the instrument_group strings in my dataset — things like 'group-a', 'Group-A', 'GROUP_A' are all the same group. I have 80 rows with base_quantity and quote_quantity fields. Can you get me the string normalisation report?”
Detect duplicate row IDs in market data export
“I exported 200 rows of liquidity observations from our market data system and I'm worried there are duplicate row_ids mixed in. Can you run the duplicate key detection report on the full set — each row has a date, instrument_group, base_quantity, and quote_quantity?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-10-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline data quality checks — specifically string normalisation and duplicate key detection — on liquidity observation records (base_quantity, quote_quantity) without requiring any live market data lookup, prediction, or external enrichment. Best suited for pre-analysis data cleaning pipelines handling up to 200 rows at a fixed low cost of $0.01 USDC per call.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, instrument_group, date, base_quantity, quote_quantity) cause row-level rejection
- Dates not matching YYYY-MM-DD pattern are rejected
- Quantities outside ±1,000,000,000,000 fail schema validation
- Payment failure via x402 protocol blocks request processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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