# Dependency Audits — String Normalisation + Base-100 Series

> Dependency Audits — String Normalisation + Base-100 Series 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).

Applies string normalisation and Base-100 indexing to user-supplied dependency audit records (dependency_count, flagged_dependencies) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-09-030?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-base-100-series-7c8931e3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GsIYhThsPXZIVsSPiWSvO

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-base-100-series-7c8931e3 -d '<json body>'
```

Example prompt: Can you run string normalisation and a Base-100 series on my dependency audit data? I have 4 rows with dependency_count and flagged_dependencies values across two control groups, and I want the base index set to 0, analyzing the dependency_count field.

## When to prefer this

Choose this endpoint when you have structured dependency audit data (up to 200 rows) and need both string normalisation and Base-100 series indexing applied offline — without any live data lookup, external prediction, or professional security assessment. It is ideal for standardising and indexing historical or batch dependency audit records for trend analysis or reporting.

## Known failure modes

- Missing required fields (row_id, date, dependency_count, flagged_dependencies) cause validation errors
- Submitting more than 200 rows exceeds the maximum and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (0–199) results in an error
- Null values in numeric fields may be handled gracefully but could affect index calculations
- Payment failure (insufficient USDC) blocks the request

## How this service works

Dependency audits — String normalisation + Base-100 series: String normalisation + Base-100 series 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: one applying string normalisation to the supplied dependency audit records, and one computing a Base-100 indexed series for the chosen field (dependency_count or flagged_dependencies). Results are derived entirely from the submitted data — no external lookups or predictions are made.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dependency-audits-string-normalisation-base-100-series-7c8931e3/health.json
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