# Market Survey Observations — Numeric Row Ordering & Adjacent Row Changes

> Market Survey Observations — 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 2026-10-15).

Computes numeric row ordering and adjacent row changes for market survey observation records (respondent_count or sample_weight) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-06-116?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/market-survey-observations-numeric-row-ordering-adjacent-row-changes-c2c6bb3a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gj4S93yl7jjG2NKZpLvOE

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 market-survey-observations-numeric-row-ordering-adjacent-row-changes-c2c6bb3a -d '<json body>'
```

Example prompt: Analyze my market survey data for numeric row ordering and adjacent row changes on the respondent_count field — here are the rows: row-1, group-a, 2026-10-01, respondent_count=10, sample_weight=1; row-2, group-b, 2026-10-02, respondent_count=20, sample_weight=2; row-3, group-a, 2026-10-03, respondent_count=15, sample_weight=3.

## When to prefer this

Choose this endpoint when you have market survey tabular data (respondent_count or sample_weight) and need both a numeric ordering and adjacent-row delta analysis in a single call, without any external lookup or prediction. It is specifically designed for market survey observation schemas and bundles two reports for $0.01 USDC, making it cost-effective for batch survey QA or trend auditing up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, company_group) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field value outside numeric bounds — rejected with range error
- Empty rows array — minItems violation
- Unrecognized field enum value — rejected with enum validation error

## How this service works

Market survey observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied market survey observations records (respondent_count, sample_weight). 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) numeric row ordering — each row ranked/sorted by the chosen field value (respondent_count or sample_weight); (2) adjacent row changes — the delta between each row and its neighbor in the ordered sequence, surfacing step-changes or trends across up to 200 survey observation records.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/market-survey-observations-numeric-row-ordering-adjacent-row-changes-c2c6bb3a/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)