# Dependency Audits — String Normalisation + Adjacent Row Changes

> Dependency Audits — String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-06).

Applies string normalisation and adjacent row change analysis to up to 200 dependency audit records, producing two independent analytical reports on dependency_count or flagged_dependencies fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-09-029?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-06
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dependency-audits-string-normalisation-adjacent-row-changes-ea439e9b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4aUkhgQ_KASELjkN2hbzT

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-adjacent-row-changes-ea439e9b -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent row change analysis on these 50 dependency audit records I have, looking at the flagged_dependencies field? I'll supply the rows with row_id, control_group, date, dependency_count, and flagged_dependencies.

## When to prefer this

Choose this endpoint when you have up to 200 tabular dependency audit records and need both string normalisation and adjacent row change analysis in a single low-cost call. It is purpose-built for offline/batch audit data with no need for live lookups, external integrations, or predictive scoring. At $0.01 USDC for two reports, it is cost-efficient for routine dependency hygiene checks or security audit pipelines that supply their own data.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, control_group, dependency_count, or flagged_dependencies) cause row-level errors
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Invalid field selector enum value causes request failure
- Empty rows array rejected (minItems: 1)

## How this service works

Dependency audits — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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 independent analytical reports: (1) a string normalisation report cleaning and standardising text fields across the supplied dependency audit rows, and (2) an adjacent row changes report highlighting value shifts between consecutive rows for the selected field (dependency_count or flagged_dependencies). Results cover up to 200 input rows with no external lookups or predictions.

## 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-adjacent-row-changes-ea439e9b/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)