# Link Inventories — String Normalisation + Trailing Mean Series

> Link Inventories — String Normalisation + Trailing Mean 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).

Performs string normalisation and trailing mean series analysis on link inventory data (internal_links, external_links) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-03-028?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/link-inventories-string-normalisation-trailing-mean-series-e5f46228
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5SBPoui42nQUaQqjN50fP

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 link-inventories-string-normalisation-trailing-mean-series-e5f46228 -d '<json body>'
```

Example prompt: Can you run string normalisation and a trailing mean series on my link inventory data? I have 50 rows with internal_links and external_links per site group by date — use internal_links as the field and a window of 7.

## When to prefer this

Choose this endpoint when you need both string normalisation and a trailing mean series on link inventory data (internal and external link counts) in a single $0.01 call for up to 200 rows, without requiring live lookups, external data, or predictive modelling. Prefer it over general analytics tools when working with structured site-group link records that need quick local statistical processing.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum allowed
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields (row_id, site_group, date, internal_links, external_links)
- Window size outside allowed range (2–200)
- Numeric values outside allowed bounds (±1,000,000,000,000)
- Additional unexpected properties in row objects rejected due to additionalProperties:false

## How this service works

Link inventories — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied link inventories records (internal_links, external_links). 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 for the link inventory records covering the supplied internal_links and external_links fields, and (2) a trailing mean series for the chosen field (internal_links or external_links) computed over the specified rolling window size, across up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/link-inventories-string-normalisation-trailing-mean-series-e5f46228/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)