# Source Attribution Grouped Numeric Summary + IQR Outlier Flags

> Source Attribution Grouped Numeric Summary + 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 2026-10-23).

Computes grouped numeric summaries and IQR-based outlier flags for source attribution records (cited_sources, verified_links) across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-02-094?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-attribution-grouped-numeric-summary-iqr-outlier-flags-4b5e755c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_K-c7EyUpMzdFneGvLiVO9

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-attribution-grouped-numeric-summary-iqr-outlier-flags-4b5e755c -d '<json body>'
```

Example prompt: Can you analyze my source attribution data — I have rows with channel_group, date, cited_sources, and verified_links (up to 200 rows) — and give me a grouped numeric summary plus IQR outlier flags for the cited_sources field?

## When to prefer this

Choose this endpoint when you have tabular source attribution records with cited_sources or verified_links counts grouped by channel categories and need both summary statistics and outlier detection in a single call. It is ideal for datasets up to 200 rows where no external data enrichment, live lookups, or predictive modeling is needed — purely local analytical computation on supplied data. Prefer this over generic statistical tools when your data specifically involves news/media source attribution with channel_group dimensions.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maximum and will be rejected
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Missing required fields (row_id, channel_group, date) cause row rejection
- Non-numeric values for cited_sources or verified_links (outside null) fail validation
- Invalid field enum value (not cited_sources or verified_links) returns an error
- Payment failure via x402 protocol results in no report being returned

## How this service works

Source attribution — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied source attribution records (cited_sources, verified_links). 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 per call: (1) a grouped numeric summary breaking down the selected field (cited_sources or verified_links) by channel_group with statistics like mean, median, min, max, and count; (2) IQR-based outlier flags identifying which individual rows have values outside the interquartile range. No external lookups or predictions are made — all analysis is performed on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/source-attribution-grouped-numeric-summary-iqr-outlier-flags-4b5e755c/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)