# Matchmaking Observations — String Normalisation + Secondary-Measure Weighted Mean

> Matchmaking Observations — String Normalisation + Secondary-Measure Weighted Mean 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).

Normalises string fields and computes a party-size-weighted mean for matchmaking queue data (queue_seconds, party_size) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-12-034?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/matchmaking-observations-string-normalisation-secondary-measure-4feb5c61
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_spHqpTjorOAnpGvdPn8Wf

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 matchmaking-observations-string-normalisation-secondary-measure-4feb5c61 -d '<json body>'
```

Example prompt: I have 4 matchmaking observation records with queue_seconds and party_size — can you normalize the game_area strings and compute the party-size-weighted mean of queue_seconds for rows like row-1 in group-a on 2026-10-01 with queue_seconds 10 and party_size 1?

## When to prefer this

Choose this endpoint when you have matchmaking observation data with game area string labels that need normalization alongside a weighted mean calculation on queue_seconds or party_size, and you need both reports in a single cheap call ($0.01 USDC). Ideal for gaming analytics pipelines processing up to 200 rows of queue data without requiring live lookup or external prediction services.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, game_area, date, queue_seconds, party_size) causes schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Null values in both numeric fields may produce undefined weighted mean
- Payment failure or insufficient USDC balance blocks the request

## How this service works

Matchmaking observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied matchmaking observations records (queue_seconds, party_size). 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 reports: (1) string-normalised versions of the game_area field across all submitted rows, and (2) a secondary-measure weighted mean of the selected field (queue_seconds or party_size), weighted by the complementary measure — all computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/matchmaking-observations-string-normalisation-secondary-measure-4feb5c61/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)