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Treasury Supplied Balances — Base-100 Series + Explicit Missing-Value Fill
x402
Treasury Supplied Balances — Base-100 Series + Explicit Missing-Value Fill 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).
Transforms up to 200 rows of treasury balance records into a base-100 indexed time series and fills any missing opening/closing balance values using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Treasury supplied balances — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill for supplied treasury supplied balances records (opening_balance, closing_balance). 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 analytical reports: (1) a base-100 indexed series for the selected balance field (opening_balance or closing_balance) anchored to the specified base_index row, and (2) the same dataset with missing/null balance values explicitly filled using the chosen method (zero, mean, or median). Results cover up to 200 input rows and are computed locally without external lookups.
Example use cases
Normalize multi-group treasury series
“I have daily opening and closing balances across two instrument groups for Q4 2026 — can you base-100 index the opening_balance starting from row 0 and fill any nulls with the median so I can compare trends across groups?”
Fill gaps in closing balance data
“My treasury closing balance data has several null entries scattered across 120 rows — please fill those missing values using mean imputation on the closing_balance field so I have a clean continuous series.”
Benchmark balance performance from reference date
“I want to see how our treasury opening balances have moved relative to our starting position — can you index 80 rows of balance records to base-100 from row 5 and use zero-fill for any missing values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-16-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously normalize treasury balance time series to a common base-100 index AND impute missing values in a single API call at low cost ($0.01 USDC for both reports). It is ideal for financial analysts working with instrument-grouped balance data that has data quality gaps, and when no live market lookup or external data enrichment is needed — only local analytical computation on your supplied rows.
Side effects
- Input array exceeds 200 rows — request rejected
- base_index references a row index beyond the array length
- All values for the selected field are null — mean/median imputation cannot compute a reference value
- Invalid date format (non-YYYY-MM-DD) causes row rejection
- Numeric values outside ±1,000,000,000,000 range are rejected by schema validation
- Missing required fields (row_id, instrument_group, date) cause row-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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