# Meeting Load String Normalisation + Numeric Interval Filter

> Meeting Load String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Normalises string fields and filters meeting load records (meeting_minutes, participant_count) by a numeric interval, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-03-026?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/meeting-load-string-normalisation-numeric-interval-filter-d8512983
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MJcoWrlY80BB-43-ZYl2E

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 meeting-load-string-normalisation-numeric-interval-filter-d8512983 -d '<json body>'
```

Example prompt: I have 4 rows of meeting data for groups A and B across October 2026 — can you normalise the string fields and filter to only keep records where meeting_minutes is between 0 and 100? Use the default sample rows.

## When to prefer this

Choose this endpoint when you have meeting load data (meeting minutes and/or participant counts) that needs string field normalisation combined with numeric range filtering in a single low-cost call, and you require two structured analytical reports without any external data enrichment, live lookup, or prediction. It is ideal for offline batch cleaning and segmentation of meeting logs at up to 200 rows for $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, team_group, meeting_minutes, participant_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — potentially empty result set with no error
- Numeric values outside allowed range (±1 trillion) — schema rejection

## How this service works

Meeting load — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied meeting load records (meeting_minutes, participant_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

Two independent analytical reports covering string-normalised meeting load records and the subset of those records whose selected numeric field (meeting_minutes or participant_count) falls within the specified minimum–maximum interval, produced locally without external lookups or predictions, for up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "meeting_minutes",
     "participant_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "meeting_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "participant_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "meeting_minutes": 10,
     "participant_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "meeting_minutes": 20,
     "participant_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "meeting_minutes": 15,
     "participant_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "meeting_minutes": 30,
     "participant_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "meeting_minutes",
    "participant_count"
   ],
   "type": "string",
   "default": "meeting_minutes"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/meeting-load-string-normalisation-numeric-interval-filter-d8512983/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)