# Trade Observations Data Quality Suite — Audit, Normalisation & Missing-Value Fill

> Trade Observations Data Quality Suite — Audit, Normalisation & 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).

Runs three local analytical reports on trade observation records: record quality audit, string normalisation, and explicit missing-value fill for export_amount and import_amount fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-06-208?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trade-observations-data-quality-suite-audit-normalisation-missing-b52bc813
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZbepCPXiGteVv8X6GVS9A

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 trade-observations-data-quality-suite-audit-normalisation-missing-b52bc813 -d '<json body>'
```

Example prompt: Can you run a full data quality audit, string normalisation, and median-based missing-value fill on these trade observation rows — I have up to 50 rows with region, date, export_amount, and import_amount fields, and I want to target the export_amount column for the fill?

## When to prefer this

Choose this endpoint when you have up to 200 trade observation rows (with export_amount and import_amount columns) and need all three data quality operations — audit, string normalisation, and missing-value imputation — bundled in a single low-cost call. It is ideal for pre-processing pipelines where no external data lookup, live prediction, or professional assessment is required, and all computation is done locally on the supplied data.

## Known failure modes

- Rows array exceeds 200 items — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row-level audit failure
- row_id missing or empty — schema validation error
- export_amount or import_amount outside ±1,000,000,000,000 range — rejected
- Invalid method enum value (not zero/mean/median) — schema error
- Invalid field enum value (not export_amount/import_amount) — schema error
- Payment of 0.01 USDC not received — request blocked by x402 paywall

## How this service works

Trade observations — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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

Three independent analytical reports covering: (1) a record quality audit flagging issues such as nulls, format violations, or anomalies across the supplied rows; (2) string normalisation results for the region and date fields; and (3) an explicit missing-value fill for the specified field (export_amount or import_amount) using the chosen method (zero, mean, or median). Results are scoped to the supplied data only — no external lookups or predictions are made.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trade-observations-data-quality-suite-audit-normalisation-missing-b52bc813/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)