# Deployment Runs — String Normalisation + Secondary-Measure Weighted Mean

> Deployment Runs — 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 2026-11-09).

Normalises component/date strings and computes a secondary-measure weighted mean across deployment run records (deploy_seconds, rollback_count) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-02-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-09
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/deployment-runs-string-normalisation-secondary-measure-weighted-mean-da64082b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R6KxtrQ4cQ37jmoxQlD_0

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 deployment-runs-string-normalisation-secondary-measure-weighted-mean-da64082b -d '<json body>'
```

Example prompt: Can you normalise the component and date strings in my deployment run records and compute the rollback_count-weighted mean of deploy_seconds? I have about 50 rows with fields row_id, component, date, deploy_seconds, and rollback_count — here's the data.

## When to prefer this

Choose this endpoint when you have up to 200 deployment run records and need both string normalisation of component/date fields and a secondary-measure weighted mean for deploy_seconds or rollback_count in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data is specifically structured around deployment run metrics and you want two bundled local analytical reports without any external lookups or predictions.

## Known failure modes

- More than 200 rows submitted — request rejected with max-items validation error
- Missing required fields (row_id, component, date, deploy_seconds, rollback_count) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in both numeric fields prevent weighted mean computation
- field enum value not one of 'deploy_seconds' or 'rollback_count' — enum validation error

## How this service works

Deployment runs — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied deployment runs records (deploy_seconds, rollback_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 cleaning component/date fields across the supplied rows, and (2) a secondary-measure weighted mean computed for the selected numeric field (deploy_seconds or rollback_count), using the other as the secondary weight. Covers up to 200 input rows with no external lookups or live data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/deployment-runs-string-normalisation-secondary-measure-weighted-mean-da64082b/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)