# Market Survey Observations — Adjacent Row Changes + Base-100 Series

> Market Survey Observations — Adjacent Row Changes + Base-100 Series 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 adjacent row changes and Base-100 rebase series for market survey observation data (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-06-155?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-adjacent-row-changes-base-100-series-e72c1f92
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5TYtW2cnfFErv8kuySY-Z

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-adjacent-row-changes-base-100-series-e72c1f92 -d '<json body>'
```

Example prompt: I have market survey data for two company groups across four dates — can you calculate the adjacent row changes and Base-100 index series for the respondent_count field, using row 0 as the base, for these rows: 2026-10-01 group-a 10 respondents weight 1, 2026-10-02 group-b 20 respondents weight 2, 2026-10-03 group-a 15 respondents weight 3, 2026-10-04 group-b 30 respondents weight 4?

## When to prefer this

Choose this endpoint when you need both adjacent row change analysis and Base-100 indexing for market survey data (respondent_count or sample_weight) in a single low-cost call. Ideal when your data is already structured with row_id, company_group, and date fields and you want two complementary statistical views without building your own analytics. Best for datasets up to 200 rows where no live data retrieval, prediction, or external enrichment is needed.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows supplied exceeds the maximum and is rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- base_index value outside the range of supplied rows causes an error
- Null values in the selected field may produce null or undefined change values
- Invalid field enum value (not respondent_count or sample_weight) causes rejection

## How this service works

Market survey observations — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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) an adjacent row changes report showing period-over-period differences in the selected field (respondent_count or sample_weight) for each row, and (2) a Base-100 index series where the selected base row is set to 100 and all other values are expressed relative to it. Both reports are computed locally on the supplied data with no external lookups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/market-survey-observations-adjacent-row-changes-base-100-series-e72c1f92/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)