# Social Post Observations — Record Quality Audit + String Normalisation + Duplicate Key Report

> Social Post Observations — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Runs three local analytical reports on social post observation data (impressions, engagement_count): a record quality audit, string normalisation, and duplicate key detection, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-13-192?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/social-post-observations-record-quality-audit-string-normalisation-8431e22e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KvH2QKjxBPkxF1KpikWkz

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 social-post-observations-record-quality-audit-string-normalisation-8431e22e -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and duplicate key check on my social post observations data? I have up to 50 rows with fields like row_id, channel_group, date, impressions, and engagement_count that I need cleaned and validated.

## When to prefer this

Choose this endpoint when you need three data quality operations (quality audit, string normalisation, duplicate key detection) bundled together on social post observation data in a single low-cost call ($0.01 USDC), without requiring any external lookups, live data, or predictions. Ideal for pre-processing social media analytics datasets before aggregation or reporting, especially when working with up to 200 rows of impressions and engagement data.

## Known failure modes

- Exceeding 200 rows returns an error; trim input to ≤200 rows
- Missing required fields (row_id, channel_group, date, impressions, engagement_count) cause validation rejection
- Malformed date strings not matching YYYY-MM-DD pattern may trigger schema errors
- Empty rows array (minItems:1 not met) results in a schema validation failure
- Payment of 0.01 USDC not provided or rejected halts the request

## How this service works

Social post observations — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied social post observations records (impressions, engagement_count). 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 reports delivered together: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report showing standardised versions of string fields like channel_group; and (3) a duplicate key report identifying rows sharing the same row_id. No external data is fetched; all analysis is performed locally on the supplied rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/social-post-observations-record-quality-audit-string-normalisation-8431e22e/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)