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Trade Observations — Record Quality Audit + String Normalisation + Base-100 Series
x402
Trade Observations — Record Quality Audit + String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports (record quality audit, string normalisation, and base-100 index series) on supplied trade observation rows containing export and import amounts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trade observations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied trade observations records (export_amount, import_amount). 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
Returns three reports derived entirely from the supplied rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report showing cleaned/standardised versions of text fields like region and date; and (3) a base-100 index series for the chosen numeric field (export_amount or import_amount) anchored at the specified base row index. No external data is fetched.
Example use cases
Pre-analysis trade data quality check
“I've got a dataset of 150 trade observation rows with export and import amounts by region and date — can you audit their record quality, normalise any messy region strings, and build a base-100 index series on the export_amount field starting from row 0?”
Indexing import volumes to a base period
“Take these 80 rows of monthly import observations and generate a base-100 series on the import_amount field, using row 3 as the base, plus run the standard record quality audit and string normalisation reports.”
Cleaning trade data before dashboard ingestion
“Before I load this trade dataset into our dashboard, can you check data quality, normalise all the region and date strings, and also produce a base-100 series on export_amount anchored at row 0? Here are 60 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-06-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary analytical reports — quality audit, string normalisation, and base-100 indexing — run together on a single batch of up to 200 trade observation rows (export/import amounts) in one low-cost call. It is ideal for pre-processing trade datasets before visualisation or modelling, and for users who want purely local, offline-style analysis without any live lookups, predictions, or external API calls.
Side effects
- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with maxItems error
- base_index out of range for supplied row count — error
- Invalid date format in rows (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 — rejected by schema
- Missing required fields (row_id, region, date, export_amount, import_amount) in any row — validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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