# Source Attribution Analytics — Numeric Row Ordering + Trailing Mean Series

> Source Attribution Analytics — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes numeric row ordering and trailing mean series for source attribution records (cited_sources, verified_links) across up to 200 rows, returning two local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-02-115?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-analytics-numeric-row-ordering-trailing-mean-series-f7eca3ee
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qPVHcpEL5pVaTPF0O5sjc

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-analytics-numeric-row-ordering-trailing-mean-series-f7eca3ee -d '<json body>'
```

Example prompt: I have 4 rows of source attribution data for two channel groups — row-1 on 2026-10-01 with cited_sources 10 and verified_links 1, row-2 on 2026-10-02 with cited_sources 20 and verified_links 2, row-3 on 2026-10-03 with cited_sources 15 and verified_links 3, and row-4 on 2026-10-04 with cited_sources 30 and verified_links 4 — can you give me the numeric row ordering and a trailing mean series over a window of 2 for the cited_sources field?

## When to prefer this

Choose this endpoint when you have tabular source attribution records (cited_sources, verified_links) and need both a numeric row ordering and a trailing/rolling mean series computed locally without any live data lookup, external API call, or prediction model — especially when processing up to 200 rows at a low flat cost of $0.01 USDC for both reports simultaneously.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Window size less than 2 or greater than 200 — invalid parameter
- Field value not one of 'cited_sources' or 'verified_links' — enum validation failure
- cited_sources or verified_links values outside allowed numeric range — validation error
- Missing required fields (row_id, channel_group, date) — schema error

## How this service works

Source attribution — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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

Returns two analytical reports: (1) a numeric row ordering of the submitted source attribution records, and (2) a trailing mean series computed over the specified window for the chosen field (cited_sources or verified_links), all processed locally without external lookups or predictions.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/source-attribution-analytics-numeric-row-ordering-trailing-mean-series-f7eca3ee/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)