# Feed Observations — Exact Row Deduplication + Numeric Interval Filter

> Feed Observations — Exact Row Deduplication + Numeric Interval Filter 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).

Deduplicates feed observation rows exactly and filters rows by a numeric interval on item_count or duplicate_items, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-11-043?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/feed-observations-exact-row-deduplication-numeric-interval-filter-e7c72697
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Xc0R9N-opzbkpPiDpbd9N

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 feed-observations-exact-row-deduplication-numeric-interval-filter-e7c72697 -d '<json body>'
```

Example prompt: I have 150 feed observation rows with site_group, date, item_count, and duplicate_items columns — can you deduplicate them exactly and filter to only rows where item_count is between 5 and 50?

## When to prefer this

Use this endpoint when you need both exact row deduplication and numeric range filtering on feed observation data in a single API call, for datasets up to 200 rows. It is ideal for data quality pipelines, pre-ingestion validation, or ad hoc auditing of feed records where item_count or duplicate_items need to be bounded. Prefer this over generic analytics tools when the data already fits the feed observation schema (site_group, date, item_count, duplicate_items) and you want two reports for a flat $0.01 USDC fee without any external lookups or state changes.

## Known failure modes

- Input array exceeds 200 rows — rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row schema rejection
- Missing required fields (row_id, site_group, date, item_count, duplicate_items) causes validation failure
- Minimum value greater than maximum value may return empty filter result
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 not met) causes request failure

## How this service works

Feed observations — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter for supplied feed observations records (item_count, duplicate_items). 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) an exact row deduplication report identifying and removing duplicate feed observation rows, and (2) a numeric interval filter report showing only rows where the selected numeric field (item_count or duplicate_items) falls within the specified minimum and maximum bounds. Results cover 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",
     "item_count",
     "duplicate_items"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "item_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "site_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "duplicate_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "item_count": 10,
     "site_group": "group-a",
     "duplicate_items": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "item_count": 20,
     "site_group": "group-b",
     "duplicate_items": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "item_count": 15,
     "site_group": "group-a",
     "duplicate_items": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "item_count": 30,
     "site_group": "group-b",
     "duplicate_items": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "item_count",
    "duplicate_items"
   ],
   "type": "string",
   "default": "item_count"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/feed-observations-exact-row-deduplication-numeric-interval-filter-e7c72697/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)