# Release Readiness Numeric Distribution + Adjacent Row Changes Analyzer

> Release Readiness Numeric Distribution + Adjacent Row Changes Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Analyzes release readiness check data (checks_passed, checks_total) by computing numeric distribution statistics and detecting adjacent row changes across up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-12-077?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/release-readiness-numeric-distribution-adjacent-row-changes-analyzer-9a502581
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Fi4FHtQyl1p_aUhHu7UAh

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 release-readiness-numeric-distribution-adjacent-row-changes-analyzer-9a502581 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and adjacent row changes analysis on our release readiness data — here are 4 rows with row IDs row-1 through row-4, components group-a and group-b, dates 2026-10-01 through 2026-10-04, and I want to analyze the checks_passed field?

## When to prefer this

Choose this endpoint when you have up to 200 release readiness records with check pass/total counts and need two analytical reports — numeric distribution and adjacent row changes — in a single low-cost call. Ideal for CI/CD pipelines, sprint retrospectives, or release gate dashboards where you want local statistical analysis without any external data fetching or prediction.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, component, date, checks_passed, checks_total) — schema validation failure
- Invalid field enum value (not checks_passed or checks_total) — error
- Null numeric values may affect distribution statistics
- Payment of 0.01 USDC not completed — endpoint returns 402

## How this service works

Release readiness — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied release readiness records (checks_passed, checks_total). 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 independent analytical reports: (1) a numeric distribution report summarizing statistical properties of the selected field (checks_passed or checks_total) across all supplied rows, and (2) an adjacent row changes report identifying value differences between consecutive rows in the dataset. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-readiness-numeric-distribution-adjacent-row-changes-analyzer-9a502581/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)