# Experiment Run Timing — Numeric Row Ordering + Adjacent Row Changes

> Experiment Run Timing — Numeric Row Ordering + 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 2026-10-26).

Analyzes experiment run timing records by applying numeric row ordering and adjacent row change detection, delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-13-116?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/experiment-run-timing-numeric-row-ordering-adjacent-row-changes-b29c46b6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EuRpPJ76fAbdn_goj8Kw1

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 experiment-run-timing-numeric-row-ordering-adjacent-row-changes-b29c46b6 -d '<json body>'
```

Example prompt: Analyze my experiment run timing data — here are 4 rows with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, course groups group-a and group-b, run_seconds values of 10, 20, 15, and 30, and sample counts 1 through 4 — give me the numeric row ordering and adjacent row changes reports for the run_seconds field.

## When to prefer this

Choose this endpoint when you need both sequential numeric ordering and adjacent row delta computation on experiment run timing data (run_seconds or sample_count) in a single low-cost call. Ideal for education or lab workflows where you want ranked ordering plus change detection on up to 200 rows without any external data access or live predictions.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, course_group) causes rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside the allowed range trigger schema errors
- Empty rows array is rejected due to minItems:1 constraint

## How this service works

Experiment run timing — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied experiment run timing records (run_seconds, sample_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

Two analytical reports: (1) a numeric row ordering report ranking the supplied rows by the chosen field (run_seconds or sample_count), and (2) an adjacent row changes report showing the delta between each consecutive row for that field. 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",
     "course_group",
     "date",
     "run_seconds",
     "sample_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "run_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "course_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "run_seconds": 10,
     "course_group": "group-a",
     "sample_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "run_seconds": 20,
     "course_group": "group-b",
     "sample_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "run_seconds": 15,
     "course_group": "group-a",
     "sample_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "run_seconds": 30,
     "course_group": "group-b",
     "sample_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "run_seconds",
    "sample_count"
   ],
   "type": "string",
   "default": "run_seconds"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/experiment-run-timing-numeric-row-ordering-adjacent-row-changes-b29c46b6/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)