# Dependency Upgrades — String Normalisation + Two-Measure Correlation

> Dependency Upgrades — String Normalisation + Two-Measure Correlation 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).

Normalises string fields and computes two-measure correlation analysis across up to 200 dependency upgrade records (packages_checked, packages_updated).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-09-033?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-upgrades-string-normalisation-two-measure-correlation-e950e09b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4Ughjr2O5rjbv-fVs6feO

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-upgrades-string-normalisation-two-measure-correlation-e950e09b -d '<json body>'
```

Example prompt: I have up to 200 rows of dependency upgrade records with fields like component, date, packages_checked, and packages_updated — can you run string normalization and a two-measure correlation analysis on this data to see how closely the number of packages checked relates to the number updated?

## When to prefer this

Choose this endpoint when you have tabular dependency upgrade data (packages_checked, packages_updated) per component and date, and you need both string field normalisation and a correlation analysis between the two numeric measures in a single, low-cost call. Ideal for up to 200 rows of software package audit data where no live lookups, external enrichment, or predictions are required — just local statistical computation.

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maximum and is rejected
- Rows missing required fields (row_id, component, date, packages_checked, packages_updated) fail schema validation
- Non-date-format strings in the date field fail pattern validation
- Extreme numeric values outside ±1,000,000,000,000 are rejected
- Insufficient numeric variance in packages_checked or packages_updated may produce undefined or degenerate correlation results

## How this service works

Dependency upgrades — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied dependency upgrades records (packages_checked, packages_updated). 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: (1) a string normalisation report cleaning and standardising the component and date string fields across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between packages_checked and packages_updated across up to 200 rows. No external lookups or predictions are made; all analysis is local.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "packages_checked",
     "packages_updated"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "component": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "packages_checked": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "packages_updated": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "packages_checked": 10,
     "packages_updated": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "packages_checked": 20,
     "packages_updated": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "packages_checked": 15,
     "packages_updated": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "packages_checked": 30,
     "packages_updated": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dependency-upgrades-string-normalisation-two-measure-correlation-e950e09b/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)