# Correction Logs — Exact Row Deduplication + Base-100 Series

> Correction Logs — Exact Row Deduplication + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Deduplicates exact rows and generates a Base-100 index series for correction log records (correction_count, published_items) — two analytical reports in one call for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-04-047?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/correction-logs-exact-row-deduplication-base-100-series-f04889e1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bjdEot_GsbwjWhusZchC6

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 correction-logs-exact-row-deduplication-base-100-series-f04889e1 -d '<json body>'
```

Example prompt: Take these correction log records across channel groups A and B from October 2026 — up to 4 rows with correction_count and published_items — deduplicate any exact duplicate rows and build a Base-100 index series on correction_count starting from row index 0.

## When to prefer this

Choose this endpoint when you need to both clean exact duplicate rows AND produce a normalized Base-100 time series from correction log data in a single low-cost call. It is purpose-built for news/publishing correction tracking datasets with channel_group segmentation and date-indexed records, and bundles two reports for $0.01 USDC. Prefer it over generic deduplication tools when your data fits the correction_count/published_items schema and you want indexed trend analysis alongside deduplication.

## Known failure modes

- Fewer than 1 row supplied — violates minItems constraint
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Missing required fields (row_id, channel_group, date, correction_count, published_items) — schema validation error
- base_index out of range (0–199) — value rejected
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Payment not included or insufficient — x402 payment required error

## How this service works

Correction logs — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied correction logs records (correction_count, published_items). 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) an exact row deduplication result identifying and removing duplicate rows from the supplied correction log data, and (2) a Base-100 indexed series for the selected field (correction_count or published_items) anchored at the specified base_index row, enabling normalized trend comparison across dates and channel groups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "correction_count",
     "published_items"
    ],
    "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
     },
     "published_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "correction_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "channel_group": "group-a",
     "published_items": 1,
     "correction_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "channel_group": "group-b",
     "published_items": 2,
     "correction_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "channel_group": "group-a",
     "published_items": 3,
     "correction_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "channel_group": "group-b",
     "published_items": 4,
     "correction_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "correction_count",
    "published_items"
   ],
   "type": "string",
   "default": "correction_count"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/correction-logs-exact-row-deduplication-base-100-series-f04889e1/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)