# Peer Feedback Data Cleaner — Exact Row Deduplication + Numeric Row Ordering

> Peer Feedback Data Cleaner — Exact Row Deduplication + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Deduplicates and numerically orders peer feedback records (review_count, actioned_comments) across up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-23-042?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/peer-feedback-data-cleaner-exact-row-deduplication-numeric-row-ordering-66aef5e9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Hsb8c0a_OgVZwtstvpRk8

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 peer-feedback-data-cleaner-exact-row-deduplication-numeric-row-ordering-66aef5e9 -d '<json body>'
```

Example prompt: Can you deduplicate and numerically sort my peer feedback records — I've got rows with course_group, date, review_count, and actioned_comments (up to 50 rows) — and give me both analytical reports on the review_count field?

## When to prefer this

Choose this endpoint when you need to quickly deduplicate and numerically order a small-to-medium peer feedback dataset (up to 200 rows) without external lookups, predictions, or professional assessment. It is especially useful in education analytics pipelines where review_count and actioned_comments data may have duplicate submissions and need ordered output. Prefer it when you need exactly two local analytical reports at low cost ($0.01 USDC) and your data fits the schema with row_id, course_group, date, and numeric metric fields.

## Known failure modes

- Exceeding 200 rows causes a rejection or truncation
- Missing required fields (row_id, course_group, date, review_count, actioned_comments) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Numeric values outside allowed range cause schema rejection
- Empty rows array returns an error
- Payment not processed results in 402 response with no data returned

## How this service works

Peer feedback — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied peer feedback records (review_count, actioned_comments). 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 2 independent analytical reports: one covering exact row deduplication results (identifying and removing exact duplicate rows) and one covering numeric row ordering of the supplied peer feedback records, based on the chosen field (review_count or actioned_comments). No external lookups or predictions are performed; all processing is local.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/peer-feedback-data-cleaner-exact-row-deduplication-numeric-row-ordering-66aef5e9/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)