# Release Readiness Check Analyzer — Numeric Row Ordering + Missing Value Fill

> Release Readiness Check Analyzer — Numeric Row Ordering + 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 2026-10-31).

Sorts release readiness check records numerically by row and fills missing checks_passed or checks_total values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-12-124?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/release-readiness-check-analyzer-numeric-row-ordering-missing-value-db9edd51
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IZ4xIcImmSsybjyhtQc77

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-check-analyzer-numeric-row-ordering-missing-value-db9edd51 -d '<json body>'
```

Example prompt: Sort my release readiness records by row number and fill any missing checks_passed values using median imputation — here are up to 200 rows with component names and dates, and I need two analytical reports back.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical processing of release readiness check data — specifically when you want numeric row ordering combined with explicit missing-value imputation on checks_passed or checks_total fields, and need two bundled reports for up to 200 rows at a fixed low cost. Prefer this over general analytics platforms when your data is already structured in the expected schema and you want a deterministic, no-external-lookup computation at $0.01 per call.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes rejection
- Missing required fields (row_id, component, date) cause schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Unrecognized fill method or field enum value causes error
- Empty rows array fails minItems:1 constraint

## How this service works

Release readiness — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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

Two independent analytical reports derived from the submitted release readiness rows, after applying numeric row ordering and explicit missing-value fill (using the selected method: zero, mean, or median) on the chosen field (checks_passed or checks_total). Reports include the processed dataset with imputed values and ordering applied.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-readiness-check-analyzer-numeric-row-ordering-missing-value-db9edd51/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)