# Content Length Observations — Record Quality Audit + String Normalisation + Daily Sum Series

> Content Length Observations — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of content-length observation data (word_count, heading_count).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-19-198?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/content-length-observations-record-quality-audit-string-normalisation-8902fdd9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PP23VW3pkjddlD_EaEXCY

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 content-length-observations-record-quality-audit-string-normalisation-8902fdd9 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and daily sum series on my content length observations? I have rows with word_count and heading_count fields, grouped by site, and I want the daily sum computed for word_count — here are my rows: [{"row_id":"r1","site_group":"blog","date":"2024-03-01","word_count":450,"heading_count":5},{"row_id":"r2","site_group":"blog","date":"2024-03-02","word_count":320,"heading_count":3}].

## When to prefer this

Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) triple-report analysis — quality audit, string normalisation, and daily sum aggregation — on up to 200 rows of content-length observation data without requiring any live data lookups or external integrations. It is ideal for pre-processing content metrics datasets before downstream reporting or dashboard ingestion.

## Known failure modes

- Submitting more than 200 rows results in rejection or truncation
- Missing required fields (row_id, site_group, date, word_count, heading_count) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern will be rejected
- Null numeric values may be excluded from daily sum calculations
- Selecting an invalid field value outside the enum [word_count, heading_count] causes an error

## How this service works

Content length observations — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied content length observations records (word_count, heading_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

Returns three independent analytical reports: (1) a record quality audit flagging anomalies or inconsistencies in the supplied rows, (2) a string normalisation report cleaning and standardising string fields, and (3) a daily sum series aggregating the selected numeric field (word_count or heading_count) by date — all computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/content-length-observations-record-quality-audit-string-normalisation-8902fdd9/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)