# Glossary Coverage Adjacent Row Changes and Two-Measure Correlation

> Glossary Coverage Adjacent Row Changes and Two-Measure Correlation 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).

Computes adjacent row changes and two-measure correlation analytics on glossary coverage records (covered_terms, required_terms) for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-20-158?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/glossary-coverage-adjacent-row-changes-and-two-measure-correlation-9d0d20c6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OtHDu4cb7Vnv6Ah3Zj06D

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 glossary-coverage-adjacent-row-changes-and-two-measure-correlation-9d0d20c6 -d '<json body>'
```

Example prompt: Can you run adjacent row change analysis and two-measure correlation on my glossary coverage data? I have rows with covered_terms and required_terms across document groups like 'legal-docs' and 'tech-specs' from 2024-01-01 to 2024-01-04 — use covered_terms as the primary field.

## When to prefer this

Use this endpoint when you have glossary coverage records with covered_terms and required_terms numeric fields and need both sequential (adjacent row) change analysis and cross-measure correlation in a single low-cost call. Ideal for document compliance tracking, terminology audits, or glossary completeness monitoring where you supply up to 200 rows of your own data and need two statistical reports without any external lookups or predictions.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, covered_terms, required_terms, document_group) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- covered_terms or required_terms values outside allowed numeric range — rejection
- field enum value not 'covered_terms' or 'required_terms' — invalid input
- Insufficient numeric variation in data — correlation report may return undefined or NaN

## How this service works

Glossary coverage — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied glossary coverage records (covered_terms, required_terms). 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

Returns two analytical reports for the supplied glossary coverage rows: (1) an adjacent row changes report showing sequential differences in the selected measure (covered_terms or required_terms) across rows, and (2) a two-measure correlation report quantifying the statistical relationship between covered_terms and required_terms. Both reports are computed locally using shared analytical engines on up to 200 input rows with no external data lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/glossary-coverage-adjacent-row-changes-and-two-measure-correlation-9d0d20c6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
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