# Content Length Observations — Adjacent Row Changes + Explicit Missing-Value Fill

> Content Length Observations — Adjacent Row Changes + Explicit 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 2026-10-23).

Analyzes up to 200 rows of content length data (word_count, heading_count) by computing adjacent row changes and filling missing values using zero, mean, or median strategies.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-19-162?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/content-length-observations-adjacent-row-changes-explicit-missing-b1d3104b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lxx6lFixz0J-RZpmV8UeT

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-adjacent-row-changes-explicit-missing-b1d3104b -d '<json body>'
```

Example prompt: I have 150 rows of dated content observations for two site groups with some null word_count values — can you run the adjacent row changes report and fill the missing word_count values using median imputation?

## When to prefer this

Choose this endpoint when you need offline, deterministic analysis of content length time series — specifically adjacent row delta computation and structured missing-value imputation — on datasets of up to 200 rows. Ideal when no live data lookup, prediction, or external API call is needed, and when the cost of a quick local analytical pass ($0.01 USDC for two reports) is acceptable.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, date, site_group) cause validation failure
- Unsupported method enum value outside zero/mean/median causes rejection
- Empty rows array returns an error due to minItems:1 constraint

## How this service works

Content length observations — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied content length observations records (word_count, heading_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports: (1) a row-by-row adjacent change analysis showing deltas between consecutive records for the selected field, and (2) an explicit missing-value fill report replacing null entries in the chosen field using the specified strategy (zero, mean, or median). Both reports are computed locally with no 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/content-length-observations-adjacent-row-changes-explicit-missing-b1d3104b/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)