# Fact Check Workflow Analytics — Numeric Distribution + Daily Sum Series

> Fact Check Workflow Analytics — Numeric Distribution + 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 2026-10-30).

Computes numeric distribution statistics and a daily sum time series for fact-check workflow data (claims reviewed and references collected) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-18-075?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fact-check-workflow-analytics-numeric-distribution-daily-sum-series-0a7cecf4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rtvj2qbGYuufMySU1pCfR

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-distribution-daily-sum-series-0a7cecf4 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and daily sum series analysis on my fact-check workflow data — I have 4 rows across two channel groups (group-a and group-b) from October 1–4 2026, with claims_reviewed values of 10, 20, 15, 30 and references_collected of 1, 2, 3, 4 — analyze the claims_reviewed field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of fact-check workflow records with dated, grouped numeric fields and need both a statistical distribution and a daily aggregated time series in a single low-cost call. It is purpose-built for journalism and fact-checking pipeline analytics without requiring external data access or live lookups.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row causes rejection
- Invalid field enum value (not claims_reviewed or references_collected) causes error
- All-null values for the selected numeric field may produce empty or degenerate distribution output

## How this service works

Fact check workflow — Numeric distribution + Daily sum series: Numeric distribution + Daily sum 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

Returns two analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread (min, max, mean, percentiles, etc.) for the selected field, and (2) a daily sum series showing aggregated totals per date. 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-analytics-numeric-distribution-daily-sum-series-0a7cecf4/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)