# Market Survey Observations — Category Frequencies + IQR Outlier Flags

> Market Survey Observations — Category Frequencies + IQR Outlier Flags 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 category frequencies and IQR-based outlier flags for market survey observation records, covering respondent_count or sample_weight fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-06-107?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-category-frequencies-iqr-outlier-flags-506df1b4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8fwomeCoiWQYPELz_cQkP

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-category-frequencies-iqr-outlier-flags-506df1b4 -d '<json body>'
```

Example prompt: Analyze my market survey data for category frequencies and IQR outlier flags 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 need both category frequency analysis and IQR outlier detection simultaneously on market survey observation data with company_group segmentation, and your dataset fits within 200 rows. It delivers two complementary statistical reports in a single $0.01 call using local computation with no external data access, making it ideal for fast, cost-effective pre-analysis or data quality checks on survey exports.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, respondent_count, sample_weight) cause rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in numeric fields may affect IQR calculations
- Invalid field selector (not 'respondent_count' or 'sample_weight') returns an error

## How this service works

Market survey observations — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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

Returns two analytical reports: (1) category frequency counts showing how often each company_group value appears in the dataset, and (2) IQR-based outlier flags identifying which rows have respondent_count or sample_weight values that fall outside the interquartile range bounds. Up to 200 rows processed per call.

## 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-category-frequencies-iqr-outlier-flags-506df1b4/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)