# Release Readiness — Record Quality Audit + String Normalisation + Daily Sum Series

> Release Readiness — 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 2026-11-02).

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 release readiness records containing checks_passed and checks_total fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-12-198?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/release-readiness-record-quality-audit-string-normalisation-daily-sum-cbc35c48
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2ayvqfXMr6WiOQvCohovm

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-record-quality-audit-string-normalisation-daily-sum-cbc35c48 -d '<json body>'
```

Example prompt: Can you audit the data quality, normalise the string fields, and compute the daily sum of checks_passed for these release readiness records across components group-a and group-b from 2026-10-01 to 2026-10-04? I have up to 4 rows with row IDs row-1 through row-4.

## When to prefer this

Choose this endpoint when you have up to 200 release readiness records with checks_passed/checks_total fields and need all three reports (quality audit, string normalisation, daily sum series) bundled in a single $0.01 call. It is ideal for DevOps or release engineering workflows that need offline, local-only analysis with no external data lookups or side effects. Prefer alternatives if you need prediction, live data enrichment, keyed dataset comparison, or more than 200 rows.

## Known failure modes

- Input array is empty or exceeds 200 rows — returns validation error
- Required fields (row_id, date, component, checks_passed, checks_total) missing from one or more rows — audit flags or rejects those rows
- Date field does not match YYYY-MM-DD pattern — row rejected or flagged
- Numeric values outside allowed range — flagged in quality report
- Invalid field enum value (not checks_passed or checks_total) — request rejected
- Payment of 0.01 USDC not confirmed via x402 — request blocked

## How this service works

Release readiness — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied release readiness records (checks_passed, checks_total). 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

Three independent analytical reports delivered together: (1) a record quality audit flagging issues like nulls, out-of-range values, or structural problems in the release readiness rows; (2) a string normalisation report cleaning and standardising text fields like component names; and (3) a daily sum series aggregating the chosen numeric field (checks_passed or checks_total) by date — all computed locally 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-record-quality-audit-string-normalisation-daily-sum-cbc35c48/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)