# Peer Feedback String Normalisation + Numeric Interval Filter

> Peer Feedback String Normalisation + 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 2026-10-22).

Normalises string fields and filters rows by a numeric interval for peer feedback records containing review_count and actioned_comments fields, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-23-026?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-string-normalisation-numeric-interval-filter-dab59e86
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XHFu8aqLAO49LSsHBy_qd

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-string-normalisation-numeric-interval-filter-dab59e86 -d '<json body>'
```

Example prompt: Take my peer feedback records for groups A and B across October 2026 and normalize the course_group strings, then filter rows where review_count is between 10 and 25 — I have 4 rows total.

## When to prefer this

Choose this endpoint when you have peer feedback or education review datasets (up to 200 rows) that need both string normalization on categorical fields like course_group and numeric range filtering on review_count or actioned_comments. It is ideal for lightweight, offline analytical preprocessing of structured tabular feedback data without needing a live database, prediction model, or external lookup service.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, date, review_count, actioned_comments) cause validation errors
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- minimum greater than maximum results in empty filtered output or error
- Null numeric values in review_count or actioned_comments may be excluded from interval filtering

## How this service works

Peer feedback — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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 up to 2 analytical reports per call covering: (1) normalised string fields for course_group and related text columns, and (2) rows filtered to only those where the chosen numeric field (review_count or actioned_comments) falls within the specified [minimum, maximum] interval, for up to 200 input rows.

## 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"
  },
  "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/peer-feedback-string-normalisation-numeric-interval-filter-dab59e86/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)