# Savings Ledger Analytics — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Savings Ledger Analytics — Record Quality Audit + String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Runs three bundled analytical reports on savings ledger rows (deposit_amount, withdrawal_amount): record quality audit, string normalisation, and two-measure correlation — all locally, no external calls.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-23-204?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/savings-ledger-analytics-record-quality-audit-string-normalisation-2d279ec3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mSETiP2AM-QAH4JGN-aY3

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-analytics-record-quality-audit-string-normalisation-2d279ec3 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and deposit-withdrawal correlation on my savings ledger? Here are 5 rows: row-1, 2024-01-10, group-a, deposit 500, withdrawal 50; row-2, 2024-01-11, group-b, deposit 750, withdrawal 100; row-3, 2024-01-12, group-a, deposit 300, withdrawal 75; row-4, 2024-01-13, group-b, deposit 900, withdrawal 200; row-5, 2024-01-14, group-a, deposit 450, withdrawal null.

## When to prefer this

Choose this endpoint when you need three analytical reports (quality audit, string normalisation, and two-measure correlation) on savings ledger data in a single low-cost call. Ideal for validating deposit/withdrawal datasets of up to 200 rows before downstream processing. Prefer this over separate analytics tools when you want bundled, offline, local computation with no external data access or prediction — purely descriptive analytics on your supplied rows.

## Known failure modes

- Fewer than 1 row submitted — request rejected with validation error
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount, instrument_group) — validation error
- Payment not included or insufficient — 402 Payment Required response
- Amount values outside ±1,000,000,000,000 range — schema validation failure

## How this service works

Savings ledger — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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

Three structured analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) a string normalisation report showing standardised versions of text fields like instrument_group; (3) a two-measure correlation report showing the statistical relationship between deposit_amount and withdrawal_amount across all submitted rows.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/savings-ledger-analytics-record-quality-audit-string-normalisation-2d279ec3/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)