# Liquidity Observations — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Liquidity Observations — 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 2026-11-02).

Runs three offline analytical reports on uploaded liquidity observation records: a record quality audit, string normalisation, and a two-measure Pearson/rank correlation between base_quantity and quote_quantity fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-10-204?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/liquidity-observations-record-quality-audit-string-normalisation-two-5983a24e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E9hdx_VRdcN-ZKZmGtQyt

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 liquidity-observations-record-quality-audit-string-normalisation-two-5983a24e -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and correlation check between base_quantity and quote_quantity on my liquidity observation data? Here are up to 200 rows with row_id, instrument_group, date, base_quantity, and quote_quantity fields.

## When to prefer this

Choose this endpoint when you have up to 200 liquidity observation records with base_quantity and quote_quantity fields and need all three of: data quality auditing, string normalisation, and a correlation analysis in a single cheap call ($0.01 USDC). It is purely offline — no live market data, predictions, or external actions — making it safe for sensitive internal datasets. Prefer this over general-purpose analytics when the input schema matches exactly (row_id, instrument_group, date, base_quantity, quote_quantity).

## Known failure modes

- Fewer than 1 row submitted — minimum row count validation error
- More than 200 rows submitted — maxItems exceeded, request rejected
- Missing required fields (row_id, instrument_group, date, base_quantity, quote_quantity) — schema validation failure
- Date strings not in YYYY-MM-DD format — pattern validation error
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Payment of 0.01 USDC not included or rejected — 402 Payment Required response

## How this service works

Liquidity observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied liquidity observations records (base_quantity, quote_quantity). 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 for the submitted rows: (1) a record quality audit flagging nulls, malformed values, and completeness issues; (2) a string normalisation report standardising instrument_group and other string fields; and (3) a two-measure correlation report quantifying the statistical relationship between base_quantity and quote_quantity. 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",
     "base_quantity",
     "quote_quantity"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "base_quantity": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "quote_quantity": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "base_quantity": 10,
     "quote_quantity": 1,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "base_quantity": 20,
     "quote_quantity": 2,
     "instrument_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "base_quantity": 15,
     "quote_quantity": 3,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "base_quantity": 30,
     "quote_quantity": 4,
     "instrument_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/liquidity-observations-record-quality-audit-string-normalisation-two-5983a24e/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)