# Fact Check Workflow Analytics: Numeric Row Ordering + Two-Measure Correlation

> Fact Check Workflow Analytics: Numeric Row Ordering + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Sorts fact-check workflow rows by a chosen numeric measure and computes the correlation between claims_reviewed and references_collected across up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-18-120?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fact-check-workflow-analytics-numeric-row-ordering-two-measure-d2d0de7b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZfGD_C2OL1xakSFZMp_kU

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-analytics-numeric-row-ordering-two-measure-d2d0de7b -d '<json body>'
```

Example prompt: I have 4 rows of fact-check workflow data with dates from 2026-10-01 to 2026-10-04, channel groups group-a and group-b, and claims_reviewed values of 10, 20, 15, 30 with references_collected of 1, 2, 3, 4 — can you sort them by claims_reviewed and also compute the correlation between claims reviewed and references collected?

## When to prefer this

Choose this endpoint when you have tabular fact-check workflow data with claims_reviewed and references_collected metrics and need both a numeric ordering of rows and a correlation analysis between those two measures in a single call. It is well-suited for editorial analytics, journalism workflow audits, or any scenario where you want to understand the relationship between claim volume and reference gathering without connecting to external data sources. Prefer it over general-purpose data tools when you want a low-cost ($0.01 USDC), self-contained, offline computation on up to 200 rows of fact-check records.

## Known failure modes

- Empty or missing rows array returns a validation error
- More than 200 rows in input returns a rejection (maxItems exceeded)
- Null values in both claims_reviewed and references_collected for all rows may cause correlation computation to fail
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Unrecognized field enum value other than claims_reviewed or references_collected causes a schema rejection
- Missing required fields (row_id, channel_group, date) on any row causes a row-level validation failure

## How this service works

Fact check workflow — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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 analytical reports: (1) rows sorted/ranked by the chosen numeric field (claims_reviewed or references_collected), and (2) a Pearson or equivalent correlation coefficient and summary between claims_reviewed and references_collected across all supplied rows. Both reports are computed locally from 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-analytics-numeric-row-ordering-two-measure-d2d0de7b/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)