# Discussion Response Data Quality Audit — Record Quality, String Normalisation & Numeric Row Ordering

> Discussion Response Data Quality Audit — Record Quality, String Normalisation & Numeric Row Ordering 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).

Audits discussion response records (response_count, response_minutes) for data quality, normalises strings, and orders rows numerically — producing 3 independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-07-196?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/discussion-response-data-quality-audit-record-quality-string-4481a901
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_--eudwF7a-x-lu9kRno5Q

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 discussion-response-data-quality-audit-record-quality-string-4481a901 -d '<json body>'
```

Example prompt: Can you run a full data quality audit, string normalisation, and numeric row ordering on these discussion response records — I have 4 rows with fields like channel_group, date, response_count, and response_minutes — and give me the 3 separate reports?

## When to prefer this

Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) data quality pass on discussion response records — specifically when you want record auditing, string normalisation, AND numeric ordering in a single call without setting up your own data pipeline. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analytical processing without any external API lookups or ML predictions.

## Known failure modes

- More than 200 rows submitted — batch will be rejected or truncated
- Missing required fields (row_id, channel_group, date, response_count, response_minutes) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) may cause errors
- Invalid field selector enum value (not response_count or response_minutes) will cause a request error

## How this service works

Discussion response — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied discussion response records (response_count, response_minutes). 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 data issues in the supplied rows, (2) string normalisation results for text fields like channel_group, and (3) a numerically ordered version of the rows sorted by the chosen field (response_count or response_minutes). All computed locally without external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/discussion-response-data-quality-audit-record-quality-string-4481a901/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)