# Phishing Exercises – String Normalisation + Numeric Interval Filter

> Phishing Exercises – 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 2026-11-02).

Normalises string fields and filters phishing exercise records (messages_delivered, reported_messages) by a numeric interval, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-14-026?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/phishing-exercises-string-normalisation-numeric-interval-filter-0c0b66fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O2_YBsUz1QRqKN1rVe1Kv

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 phishing-exercises-string-normalisation-numeric-interval-filter-0c0b66fb -d '<json body>'
```

Example prompt: I have phishing exercise records with messages_delivered and reported_messages columns — can you normalize the string fields and filter to rows where messages_delivered is between 5 and 50? Here are up to 200 rows of data including row_id, control_group, and date.

## When to prefer this

Choose this endpoint when you have tabular phishing exercise data (up to 200 rows) and need both string normalisation of categorical fields and a numeric range filter on message counts in one low-cost call. It is purpose-built for security awareness training datasets with messages_delivered and reported_messages columns, and delivers two analytical sub-reports for $0.01 USDC. Prefer alternatives if you need live threat data, predictive scoring, deduplication, time-series aggregation, or datasets exceeding 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, messages_delivered, reported_messages) cause validation error
- Invalid date format (non YYYY-MM-DD) triggers schema rejection
- Minimum greater than maximum causes empty or error result
- Null numeric values in the filtered field may be excluded from interval results
- Payment not received — 402 response blocking processing

## How this service works

Phishing exercises — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied phishing exercises records (messages_delivered, reported_messages). 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

Up to 2 analytical reports covering: (1) normalised string field values for control_group and other text columns, and (2) rows filtered to those where the selected numeric field (messages_delivered or reported_messages) falls within the specified [minimum, maximum] interval. Results cover up to 200 input rows with no live lookup or external data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "control_group",
     "date",
     "messages_delivered",
     "reported_messages"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "control_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "reported_messages": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "messages_delivered": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "control_group": "group-a",
     "reported_messages": 1,
     "messages_delivered": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "control_group": "group-b",
     "reported_messages": 2,
     "messages_delivered": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "control_group": "group-a",
     "reported_messages": 3,
     "messages_delivered": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "control_group": "group-b",
     "reported_messages": 4,
     "messages_delivered": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "messages_delivered",
    "reported_messages"
   ],
   "type": "string",
   "default": "messages_delivered"
  },
  "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/phishing-exercises-string-normalisation-numeric-interval-filter-0c0b66fb/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)