# Dataset Storage: Exact Row Deduplication + Base-100 Series

> Dataset Storage: Exact Row Deduplication + 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 2026-10-24).

Deduplicates dataset storage records and computes a Base-100 indexed time series for used_mb or row_count metrics across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-047?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dataset-storage-exact-row-deduplication-base-100-series-f741e145
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_c3UyUfwM7ORsSHcYM0-hO

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 dataset-storage-exact-row-deduplication-base-100-series-f741e145 -d '<json body>'
```

Example prompt: Can you deduplicate these dataset storage records and compute a Base-100 indexed series for used_mb, starting from row index 0? Here are the rows: group-a on 2026-10-01 used 10 MB with 1 row, group-b on 2026-10-02 used 20 MB with 2 rows, group-a on 2026-10-03 used 15 MB with 3 rows.

## When to prefer this

Choose this endpoint when you need both duplicate removal and Base-100 trend indexing on dataset storage metrics (used_mb, row_count) in a single low-cost call. It is ideal for small-to-medium analytical tasks (up to 200 rows) where you want relative growth indexed to a baseline row without relying on external data sources or live lookups. Prefer sibling endpoints if you need IQR outlier flagging, string normalization, or record quality audits instead of Base-100 indexing.

## Known failure modes

- More than 200 rows submitted — input exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, used_mb, or row_count) in one or more rows
- Invalid date format — must match YYYY-MM-DD pattern
- base_index out of range (0–199) or exceeds number of rows supplied
- Payment not completed via x402 protocol — endpoint returns 402
- All rows are duplicates resulting in empty post-dedup dataset
- field value not in allowed enum (used_mb or row_count)

## How this service works

Dataset storage — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied dataset storage records (used_mb, row_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 analytical reports: (1) a deduplication report identifying and removing exact duplicate rows from the supplied dataset storage records, and (2) a Base-100 indexed time series for the selected field (used_mb or row_count), normalized to 100 at the specified base_index row. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "used_mb",
     "row_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "used_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "row_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "used_mb": 10,
     "row_count": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "used_mb": 20,
     "row_count": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "used_mb": 15,
     "row_count": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "used_mb": 30,
     "row_count": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "used_mb",
    "row_count"
   ],
   "type": "string",
   "default": "used_mb"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dataset-storage-exact-row-deduplication-base-100-series-f741e145/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)