# Dependency Audits — String Normalisation + Date by Category Pivot

> Dependency Audits — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Performs string normalisation and a date-by-category pivot analysis on up to 200 rows of dependency audit records (dependency_count, flagged_dependencies), returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-09-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dependency-audits-string-normalisation-date-by-category-pivot-8cc1cff1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vU6N7pPHCkHjxJMcYaWvZ

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 dependency-audits-string-normalisation-date-by-category-pivot-8cc1cff1 -d '<json body>'
```

Example prompt: Can you run a string normalisation and date-by-category pivot on this dependency audit dataset? Here are my rows with dependency_count and flagged_dependencies across two control groups, and I want the pivot on dependency_count.

## When to prefer this

Choose this endpoint when you need both string normalisation and a date-by-category pivot on dependency audit data (dependency_count or flagged_dependencies) in a single low-cost call. It is ideal for offline analytical reporting on up to 200 rows with no need for live lookups, external data enrichment, or predictive assessment. Prefer it over general-purpose analytics tools when working within a micropayment x402 agent workflow.

## Known failure modes

- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric fields out of allowed range — rejected
- Invalid field enum value — rejected with enum error
- Missing required fields (row_id, control_group, date) — schema error

## How this service works

Dependency audits — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied dependency audits records (dependency_count, flagged_dependencies). 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 derived from the supplied dependency audit rows: (1) a string normalisation report cleaning the input fields, and (2) a date-by-category pivot table aggregating the selected numeric measure (dependency_count or flagged_dependencies) by date and control group — all computed locally from the supplied data, no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "control_group",
     "date",
     "dependency_count",
     "flagged_dependencies"
    ],
    "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
     },
     "dependency_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "flagged_dependencies": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "control_group": "group-a",
     "dependency_count": 10,
     "flagged_dependencies": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "control_group": "group-b",
     "dependency_count": 20,
     "flagged_dependencies": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "control_group": "group-a",
     "dependency_count": 15,
     "flagged_dependencies": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "control_group": "group-b",
     "dependency_count": 30,
     "flagged_dependencies": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "dependency_count",
    "flagged_dependencies"
   ],
   "type": "string",
   "default": "dependency_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dependency-audits-string-normalisation-date-by-category-pivot-8cc1cff1/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)