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Exchange Quote Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering
x402
Exchange Quote Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Audits data quality, normalises strings, and orders rows numerically for up to 200 exchange quote observation records containing bid and ask prices.
Price / call$0.01
Success—
StatusUnknown
How this service works
Exchange quote observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied exchange quote observations records (bid_price, ask_price). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports covering: (1) a record quality audit flagging data issues in the supplied exchange quote rows, (2) string normalisation results for text fields such as instrument_group, and (3) numeric row ordering of the selected price field (bid_price or ask_price). All reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
Daily market data quality check
“I've got today's exchange quote observations for our equity instruments — each row has a row_id, date, instrument_group, bid_price, and ask_price. Can you run the full quality audit, string normalisation, and numeric row ordering on them so I can spot any data issues before we use them in analysis? Use bid_price as the numeric field.”
Pre-trade data cleansing for ask prices
“Before we run our trading models, I need to audit and normalise our ask price data. Here are 150 rows of quote observations — can you check data quality, normalise the instrument group strings, and order the rows by ask_price for me?”
Instrument group quote data validation
“We received a batch of exchange quote records from our data vendor — around 80 rows covering multiple instrument groups with bid and ask prices. Can you do a record quality audit and string normalisation on them, and also give me numeric row ordering by bid_price so I can see which records look suspicious?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-04-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of raw exchange quote records (bid/ask prices with instrument groups and dates) and need three bundled local analytical reports — quality audit, string normalisation, and numeric ordering — in a single low-cost call. It is ideal for pre-processing market data before downstream analysis, model ingestion, or reporting, especially when you want a cost-effective audit of up to 200 rows without needing live data lookups or external price feeds.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, instrument_group, date, bid_price, ask_price) cause validation errors
- Invalid date format (non YYYY-MM-DD) rejected by pattern constraint
- field selector not one of 'bid_price' or 'ask_price' causes enum validation failure
- Empty rows array (minItems:1 not met) returns error
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Payment of 0.01 USDC not fulfilled causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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