# Market Survey Observations — Numeric Interval Filter + Two-Measure Correlation

> Market Survey Observations — Numeric Interval Filter + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Filters market survey observation rows by a numeric interval on a selected field and computes a two-measure correlation between respondent_count and sample_weight, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-06-131?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/market-survey-observations-numeric-interval-filter-two-measure-3a1fec8d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_p90n2NhcfnvTQiIWlKP73

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-interval-filter-two-measure-3a1fec8d -d '<json body>'
```

Example prompt: I have market survey observations for groups A and B across October 2026 — can you filter rows where respondent_count is between 5 and 25, then run a two-measure correlation between respondent_count and sample_weight across all the rows?

## When to prefer this

Choose this endpoint when you have up to 200 market survey observation records with respondent_count and sample_weight fields and need both a numeric range filter and a correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for self-contained, offline analytical tasks on supplied data where no live data lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics tools when working specifically with survey panel data combining group labels, dates, and two numeric measures.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required row fields (row_id, date, company_group) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Minimum value greater than maximum value — may return empty filtered set
- Null values in respondent_count or sample_weight — correlation computation may return NaN or be skipped
- Field enum value not recognized — schema rejection

## How this service works

Market survey observations — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 independent analytical reports: (1) a numeric interval filter report listing which of the up to 200 survey rows fall within the specified minimum–maximum range for the chosen field, and (2) a two-measure correlation report quantifying the statistical relationship between respondent_count and sample_weight across the supplied rows. Both reports are generated locally without 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/market-survey-observations-numeric-interval-filter-two-measure-3a1fec8d/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)