# Fact Check Workflow Analyzer — Category Frequencies & Numeric Row Ordering

> Fact Check Workflow Analyzer — Category Frequencies & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Computes category frequency counts and numeric row ordering for up to 200 fact-check workflow records across claims_reviewed and references_collected fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-18-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fact-check-workflow-analyzer-category-frequencies-numeric-row-ordering-ea3689f4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rr1Gh4CowyG0HP82P8VAl

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-analyzer-category-frequencies-numeric-row-ordering-ea3689f4 -d '<json body>'
```

Example prompt: I have a batch of fact-check workflow records with channel groups and dates — can you run two reports on them: one showing how frequently each channel_group appears, and another ordering all rows by claims_reviewed? Here are up to 200 rows with fields row_id, channel_group, date, claims_reviewed, and references_collected.

## When to prefer this

Choose this endpoint when you have structured fact-check workflow records and need both a category frequency breakdown by channel group and a numerically ordered ranking of rows by a numeric field in a single low-cost call. Ideal for journalism analytics, editorial dashboards, or QA pipelines processing up to 200 records at $0.01 per call without needing live lookups or external data.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row
- Date field not in YYYY-MM-DD format — validation error
- Invalid field selector (must be claims_reviewed or references_collected)
- All numeric values null — ordering report may be empty or undefined

## How this service works

Fact check workflow — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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

Returns two independent analytical reports: (1) a category frequency table showing how many rows fall into each channel_group value, and (2) a numerically ordered ranking of all submitted rows by the selected field (claims_reviewed or references_collected). Both reports are computed locally on 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fact-check-workflow-analyzer-category-frequencies-numeric-row-ordering-ea3689f4/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)