# Assessment Item Observations — Duplicate Key Report + Adjacent Row Changes

> Assessment Item Observations — Duplicate Key Report + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Runs two local analytical reports on assessment item observation data: a duplicate key report and an adjacent row changes analysis for correct_responses or attempts fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-02-062?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/assessment-item-observations-duplicate-key-report-adjacent-row-changes-36cd6737
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4JJclds3IWudQZ3qlsiXZ

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 assessment-item-observations-duplicate-key-report-adjacent-row-changes-36cd6737 -d '<json body>'
```

Example prompt: Can you run a duplicate key report and adjacent row changes analysis on my assessment item observations? I have rows with row_id, course_group, date, correct_responses, and attempts — up to 200 rows — and I want to check the correct_responses field for changes between adjacent rows.

## When to prefer this

Choose this endpoint when you need fast, offline-style data quality analysis on a batch of up to 200 assessment item observation records — specifically to identify duplicate row keys and track adjacent row changes in numeric assessment fields (correct_responses or attempts). It is ideal when you do not need live data lookups, predictions, or external integrations, and want two reports bundled at minimal cost ($0.01 USDC).

## Known failure modes

- Missing required fields (row_id, course_group, date, correct_responses, attempts) causes validation error
- Exceeding 200 rows results in rejection or truncation
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 boundary cause schema rejection
- Empty rows array returns error
- Invalid field enum value (anything other than 'correct_responses' or 'attempts') causes rejection

## How this service works

Assessment item observations — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes for supplied assessment item observations records (correct_responses, attempts). 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 independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied rows, and (2) an adjacent row changes report showing where the selected field (correct_responses or attempts) differs between consecutive rows — all computed locally with no external lookups, covering 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",
     "correct_responses",
     "attempts"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "attempts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "course_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "correct_responses": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "attempts": 1,
     "course_group": "group-a",
     "correct_responses": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "attempts": 2,
     "course_group": "group-b",
     "correct_responses": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "attempts": 3,
     "course_group": "group-a",
     "correct_responses": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "attempts": 4,
     "course_group": "group-b",
     "correct_responses": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "correct_responses",
    "attempts"
   ],
   "type": "string",
   "default": "correct_responses"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/assessment-item-observations-duplicate-key-report-adjacent-row-changes-36cd6737/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)