# Fact Check Workflow — Numeric Row Ordering + Trailing Mean Series

> Fact Check Workflow — 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 2026-10-25).

Runs two local analytical reports on fact-check workflow data: numeric row ordering and a trailing moving-average series for claims_reviewed or references_collected, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-18-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fact-check-workflow-numeric-row-ordering-trailing-mean-series-75dba2d9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Y0hIlZDTA_BmoOHQbkdTu

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 fact-check-workflow-numeric-row-ordering-trailing-mean-series-75dba2d9 -d '<json body>'
```

Example prompt: Can you analyze my fact-check workflow data — I have 4 rows with claims_reviewed and references_collected values for groups A and B across October 2026 — sort them numerically and compute a trailing mean series for claims_reviewed with a window of 2?

## When to prefer this

Choose this endpoint when you need purely local, offline computation on supplied fact-check workflow tabular data — specifically numeric row ordering combined with a rolling/trailing mean time series — without any external data lookups, live predictions, or professional assessments. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over general analytics APIs when your data involves claims_reviewed and references_collected metrics in a fact-check journalism workflow context.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- Window size larger than number of rows — trailing mean may produce nulls or insufficient output
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected by schema
- More than 200 rows submitted — request exceeds maximum and is rejected
- Missing required fields (row_id, channel_group, date) — schema validation error

## How this service works

Fact check workflow — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series for supplied fact check workflow records (claims_reviewed, references_collected). 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: (1) the input rows sorted in numeric order, and (2) a trailing moving-average series computed over the selected field (claims_reviewed or references_collected) using the specified window size. Both reports are generated locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "claims_reviewed",
     "references_collected"
    ],
    "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
     },
     "claims_reviewed": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "references_collected": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "channel_group": "group-a",
     "claims_reviewed": 10,
     "references_collected": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "channel_group": "group-b",
     "claims_reviewed": 20,
     "references_collected": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "channel_group": "group-a",
     "claims_reviewed": 15,
     "references_collected": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "channel_group": "group-b",
     "claims_reviewed": 30,
     "references_collected": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "claims_reviewed",
    "references_collected"
   ],
   "type": "string",
   "default": "claims_reviewed"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fact-check-workflow-numeric-row-ordering-trailing-mean-series-75dba2d9/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)