# Image Reference Inventories — Exact Row Deduplication + Trailing Mean Series

> Image Reference Inventories — Exact Row Deduplication + 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 2026-10-30).

Deduplicates rows and computes a trailing moving-average series for image reference inventory data (image_count, missing_alt_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-18-045?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/image-reference-inventories-exact-row-deduplication-trailing-mean-cb32beb6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UN94dyqP8iafV4QUk9lC7

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 image-reference-inventories-exact-row-deduplication-trailing-mean-cb32beb6 -d '<json body>'
```

Example prompt: Can you deduplicate my image reference inventory records and compute a trailing mean series with a window of 3 for the image_count field? Here are my rows: row-1, group-a, 2026-10-01, image_count=10, missing_alt_count=1; row-2, group-b, 2026-10-02, image_count=20, missing_alt_count=2.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a trailing moving-average series computed together from image reference inventory data in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local analytical processing without any external data lookup, prediction, or third-party enrichment. Prefer it over general-purpose analytics tools when you specifically have image_count and missing_alt_count fields and want a bundled two-report output for $0.01.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size larger than number of rows — may produce sparse or empty trailing mean series
- Missing required fields (row_id) — schema validation error
- Non-numeric values in image_count or missing_alt_count — type error

## How this service works

Image reference inventories — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series for supplied image reference inventories records (image_count, missing_alt_count). 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

Returns two reports: (1) a deduplicated version of the supplied rows with exact duplicate records removed, and (2) a trailing moving-average series for the chosen field (image_count or missing_alt_count) computed over the specified window size, all derived locally from the submitted data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/image-reference-inventories-exact-row-deduplication-trailing-mean-cb32beb6/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)