# Source Diversity Numeric Distribution and Row Ordering Analyzer

> Source Diversity Numeric Distribution and Row Ordering Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes numeric distribution statistics and row ordering for source_count and outlet_count fields across supplied source diversity records, delivering two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-17-073?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/source-diversity-numeric-distribution-and-row-ordering-analyzer-d44eecd1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FZJDRHF-ZZXB7Q5MSn0Jt

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 source-diversity-numeric-distribution-and-row-ordering-analyzer-d44eecd1 -d '<json body>'
```

Example prompt: Can you run both a numeric distribution and a row ordering analysis on my source diversity data? I have 4 rows with channel groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the source_count field.

## When to prefer this

Choose this endpoint when you have already collected source diversity data (source_count and outlet_count per row) and need both a distribution summary and a ranked ordering in a single low-cost call ($0.01 USDC for both reports). Ideal for media analysts, journalism researchers, or news aggregation pipelines that need offline statistical analysis without any live data lookup or prediction. Best suited for batch sizes up to 200 rows where two complementary numeric reports are needed simultaneously.

## Known failure modes

- Missing required fields (row_id, channel_group, date, source_count, outlet_count) cause validation errors
- More than 200 rows submitted exceeds the maximum and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Invalid field selector (not 'source_count' or 'outlet_count') causes an error
- Empty rows array (minItems: 1 not met) will fail

## How this service works

Source diversity — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering for supplied source diversity records (source_count, outlet_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

Returns two analytical reports: (1) a numeric distribution summary for the selected field (source_count or outlet_count) showing statistical spread across up to 200 rows, and (2) a numeric row ordering report ranking rows by the selected field value, both computed locally without any external lookup.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/source-diversity-numeric-distribution-and-row-ordering-analyzer-d44eecd1/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)
