# Discussion Response String Normalisation + Base-100 Series

> Discussion Response String Normalisation + 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 2026-10-25).

Normalises discussion response metrics (response_count, response_minutes) and computes a Base-100 index series for up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-07-030?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/discussion-response-string-normalisation-base-100-series-a8b5a8a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lOknUjnTETOrOCXCvZKDI

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 discussion-response-string-normalisation-base-100-series-a8b5a8a6 -d '<json body>'
```

Example prompt: Can you normalise my discussion response data and compute a Base-100 series indexed from row 0, using response_count as the field? I have 4 rows: 2026-10-01 group-a 10 responses 1 minute, 2026-10-02 group-b 20 responses 2 minutes, 2026-10-03 group-a 15 responses 3 minutes, 2026-10-04 group-b 30 responses 4 minutes.

## When to prefer this

Choose this endpoint when you need both string normalisation and a Base-100 index series computed together on discussion/forum response data (response_count or response_minutes) in a single low-cost call. It is ideal for offline or batch analytical workflows where you supply your own data (no live data fetch), want two bundled reports for up to 200 rows, and need a cheap fixed-price computation ($0.01 USDC). Prefer alternatives if you need live data retrieval, predictions, or more than 200 rows.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or blank — required field with minLength 1
- field value not one of enum ['response_count','response_minutes'] — validation error
- base_index out of range — must be between 0 and 199 and within supplied row count
- Null numeric values may reduce index accuracy if too prevalent

## How this service works

Discussion response — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied discussion response records (response_count, response_minutes). 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

Two analytical reports: (1) string-normalised representation of the selected field (response_count or response_minutes) across all supplied rows, and (2) a Base-100 index series anchored at the specified base_index row, computed locally from 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",
     "response_count",
     "response_minutes"
    ],
    "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
     },
     "response_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "response_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "channel_group": "group-a",
     "response_count": 10,
     "response_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "channel_group": "group-b",
     "response_count": 20,
     "response_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "channel_group": "group-a",
     "response_count": 15,
     "response_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "channel_group": "group-b",
     "response_count": 30,
     "response_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "response_count",
    "response_minutes"
   ],
   "type": "string",
   "default": "response_count"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/discussion-response-string-normalisation-base-100-series-a8b5a8a6/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)