# Release Readiness — Exact Row Deduplication + Numeric Interval Filter

> Release Readiness — Exact Row Deduplication + Numeric Interval Filter 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).

Deduplicates exact duplicate rows and filters records by a numeric interval on checks_passed or checks_total fields in release readiness datasets, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-12-043?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-exact-row-deduplication-numeric-interval-filter-a72895ee
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_o6H_0UHM2GVv47xMVkd8C

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-exact-row-deduplication-numeric-interval-filter-a72895ee -d '<json body>'
```

Example prompt: I have a list of up to 150 release readiness records with component names, dates, checks_passed, and checks_total — can you deduplicate the exact rows and then filter to only keep records where checks_passed is between 5 and 100?

## When to prefer this

Use this endpoint when you have release readiness tabular data (up to 200 rows) and need both exact row deduplication and numeric range filtering on checks_passed or checks_total in a single low-cost call. It is ideal for pre-release data cleaning pipelines, CI/CD reporting, and QA gate checks where you want two complementary views of the same dataset without any external data lookups or predictions.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not 'checks_passed' or 'checks_total' — rejected
- minimum greater than maximum — may return empty filtered result
- row_id missing or too long — schema validation error
- checks_passed or checks_total outside ±1,000,000,000,000 bounds — rejected

## How this service works

Release readiness — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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 analytical reports: (1) the dataset with exact duplicate rows removed, and (2) the dataset filtered to rows where the specified numeric field (checks_passed or checks_total) falls within the given minimum–maximum interval. Both reports are computed locally from the supplied rows 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-readiness-exact-row-deduplication-numeric-interval-filter-a72895ee/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)