# Forum Topic Activity String Normalisation and Numeric Row Ordering

> Forum Topic Activity String Normalisation and 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).

Normalises string fields and orders rows numerically for forum topic activity records (thread_count, reply_count) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-22-025?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/forum-topic-activity-string-normalisation-and-numeric-row-ordering-0832cd5b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rldKjaNkVN1ZroiFOYhHE

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 forum-topic-activity-string-normalisation-and-numeric-row-ordering-0832cd5b -d '<json body>'
```

Example prompt: Can you normalize the channel group strings and rank all these forum rows by thread_count? I have 4 rows: row-1 on 2026-10-01 with channel group-a, thread_count 10, reply_count 1; row-2 on 2026-10-02 with group-b, thread_count 20, reply_count 2; row-3 on 2026-10-03 with group-a, thread_count 15, reply_count 3; row-4 on 2026-10-04 with group-b, thread_count 30, reply_count 4.

## When to prefer this

Choose this endpoint when you have up to 200 rows of forum activity data (thread counts, reply counts per channel group and date) and need both string normalisation and numeric ordering in a single $0.01 call. It is best suited for lightweight, offline analytical preprocessing of forum engagement data where no live data lookup, external enrichment, or predictive modelling is required. Prefer alternatives if you need correlation analysis, deduplication, or more than two report types in one call.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, channel_group, date, thread_count, reply_count) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field enum value (must be thread_count or reply_count) — rejection
- Payment failure via x402 protocol — request not processed

## How this service works

Forum topic activity — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied forum topic activity records (thread_count, reply_count). 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) a string normalisation report standardising the channel_group field values across submitted rows, and (2) a numeric row ordering report ranking rows by the selected metric (thread_count or reply_count). Both reports are computed locally from the supplied data, with no external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "thread_count",
     "reply_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "reply_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "thread_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "reply_count": 1,
     "thread_count": 10,
     "channel_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "reply_count": 2,
     "thread_count": 20,
     "channel_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "reply_count": 3,
     "thread_count": 15,
     "channel_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "reply_count": 4,
     "thread_count": 30,
     "channel_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "thread_count",
    "reply_count"
   ],
   "type": "string",
   "default": "thread_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/forum-topic-activity-string-normalisation-and-numeric-row-ordering-0832cd5b/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)