# Savings Ledger — Record Quality Audit + String Normalisation + Daily Sum Series

> Savings Ledger — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Audits record quality, normalises strings, and computes daily sum series for savings ledger rows (deposit_amount or withdrawal_amount) across up to 200 rows, producing 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-23-198?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/savings-ledger-record-quality-audit-string-normalisation-daily-sum-44aa495b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vGfGes6dzfI0d2o2mw8Yb

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability savings-ledger-record-quality-audit-string-normalisation-daily-sum-44aa495b -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and daily deposit sum series on my savings ledger? Here are 4 rows: row-1 on 2026-10-01 with instrument group 'group-a', deposit 10, withdrawal 1; row-2 on 2026-10-02 with 'group-b', deposit 20, withdrawal 2; row-3 on 2026-10-03 with 'group-a', deposit 15, withdrawal 3; row-4 on 2026-10-04 with 'group-b', deposit 30, withdrawal 4 — use the deposit_amount field for the sum series.

## When to prefer this

Choose this endpoint when you have savings ledger rows with deposit and withdrawal amounts and need all three of: data quality auditing, string field normalisation, and a daily aggregated sum series in a single $0.01 call. It is ideal for batch offline analysis of up to 200 rows without needing live data, external APIs, or professional financial assessments.

## Known failure modes

- Rows exceeding 200 items will be rejected (maxItems constraint)
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount, instrument_group) will cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Numeric amounts outside ±1,000,000,000,000 will be rejected
- Empty rows array (minItems: 1) will fail
- Invalid field enum value (only 'deposit_amount' or 'withdrawal_amount' accepted)

## How this service works

Savings ledger — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied savings ledger records (deposit_amount, withdrawal_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 independent analytical reports: (1) a record quality audit flagging issues such as missing, null, or out-of-range values across the supplied rows; (2) a string normalisation report cleaning and standardising the instrument_group and other string fields; and (3) a daily sum series aggregating the chosen numeric field (deposit_amount or withdrawal_amount) by date. All computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "deposit_amount",
     "withdrawal_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "deposit_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "withdrawal_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "deposit_amount": 10,
     "instrument_group": "group-a",
     "withdrawal_amount": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "deposit_amount": 20,
     "instrument_group": "group-b",
     "withdrawal_amount": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "deposit_amount": 15,
     "instrument_group": "group-a",
     "withdrawal_amount": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "deposit_amount": 30,
     "instrument_group": "group-b",
     "withdrawal_amount": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "deposit_amount",
    "withdrawal_amount"
   ],
   "type": "string",
   "default": "deposit_amount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/savings-ledger-record-quality-audit-string-normalisation-daily-sum-44aa495b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)