# Source Attribution Numeric Row Ordering and Daily Sum Series

> Source Attribution Numeric Row Ordering and Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Performs numeric row ordering and daily sum series analysis on source attribution records (cited_sources, verified_links) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-02-114?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/source-attribution-numeric-row-ordering-and-daily-sum-series-f3e5c5ca
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_M6wDdjz_2PXs-_RRZ79RW

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-numeric-row-ordering-and-daily-sum-series-f3e5c5ca -d '<json body>'
```

Example prompt: Rank my source attribution rows numerically and compute a daily sum series for cited_sources using this dataset: row-1 on 2026-10-01 in group-a has 10 cited sources and 1 verified link, row-2 on 2026-10-02 in group-b has 20 cited sources and 2 verified links — give me both the row ordering and the daily totals reports.

## When to prefer this

Choose this endpoint when you need both a ranked ordering of source attribution rows AND a date-based daily aggregation (sum series) for either cited_sources or verified_links in a single low-cost call. It is ideal for news analytics, editorial audits, and content verification workflows where you supply your own data and want fast, local computation without any external lookup or prediction. At $0.01 USDC for two reports on up to 200 rows, it is cost-efficient for batch analytical tasks on pre-collected attribution datasets.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, channel_group, cited_sources, or verified_links) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (-1e12 to 1e12) may cause errors
- Invalid field enum value (anything other than cited_sources or verified_links) causes rejection
- Empty rows array is not accepted (minItems: 1)

## How this service works

Source attribution — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum 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 independent analytical reports: (1) a numeric row ordering report ranking each input row by the selected field (cited_sources or verified_links), and (2) a daily sum series report aggregating the selected field values by date. Both reports are computed locally without external lookups and cover up to 200 input rows.

## 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-numeric-row-ordering-and-daily-sum-series-f3e5c5ca/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)