# Validation Rule Results — String Normalisation + Numeric Interval Filter

> Validation Rule Results — String Normalisation + 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 2026-10-11).

Normalises string fields and filters rows by a numeric interval (min/max) on passed_rules or total_rules columns from validation rule results data, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-026?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validation-rule-results-string-normalisation-numeric-interval-filter-0e163edb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_j11tanQpRsXfM2I4_AxsY

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 validation-rule-results-string-normalisation-numeric-interval-filter-0e163edb -d '<json body>'
```

Example prompt: Can you run string normalisation and apply a numeric interval filter on my validation rule results — I have 50 rows with passed_rules and total_rules values, and I want to filter passed_rules between 5 and 80? The dataset groups are 'group-a' and 'group-b' with dates starting 2026-10-01.

## When to prefer this

Choose this endpoint when you need both string normalisation of dataset group labels and numeric range filtering on validation rule result metrics (passed_rules or total_rules) in a single call, for up to 200 rows, at low cost ($0.01 USDC for 2 reports). Prefer it over general analytics endpoints when your data is specifically structured as validation rule results with pass/total rule counts and you want a self-contained, no-external-lookup computation.

## Known failure modes

- More than 200 rows submitted — request rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Numeric values outside ±1,000,000,000,000 — rejected by min/max constraints
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error
- Field enum value not 'passed_rules' or 'total_rules' — rejected
- minimum greater than maximum — may return empty filtered result set

## How this service works

Validation rule results — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied validation rule results records (passed_rules, total_rules). 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 up to 2 independent analytical reports covering string-normalised records and rows filtered to the specified numeric interval on the chosen field (passed_rules or total_rules), based solely on the supplied input data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "passed_rules",
     "total_rules"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_rules": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "passed_rules": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_rules": 1,
     "passed_rules": 10,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_rules": 2,
     "passed_rules": 20,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_rules": 3,
     "passed_rules": 15,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_rules": 4,
     "passed_rules": 30,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "passed_rules",
    "total_rules"
   ],
   "type": "string",
   "default": "passed_rules"
  },
  "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/validation-rule-results-string-normalisation-numeric-interval-filter-0e163edb/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)