# Deployment Runs — String Normalisation + Base-100 Series

> Deployment Runs — 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 2026-11-09).

Performs string normalisation and Base-100 index series analysis on deployment run records (deploy_seconds, rollback_count) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-02-030?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-base-100-series-62344e79
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aJ2HuSRJWnSY-VuooZeGd

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-base-100-series-62344e79 -d '<json body>'
```

Example prompt: I have deployment run records for our services — can you normalize the string fields and generate a Base-100 index series for deploy_seconds starting from row index 0? Here are up to 200 rows with row_id, component, date, deploy_seconds, and rollback_count.

## When to prefer this

Choose this endpoint when you need offline, supply-your-own-data analysis of deployment run metrics — specifically string normalisation plus Base-100 indexed series — without requiring live pipeline access, external lookups, or predictions. Ideal for post-hoc CI/CD reporting, batch analytics on exported deployment logs, or when you need two analytical views (normalisation + indexing) from a single low-cost call on up to 200 rows.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, component, deploy_seconds, rollback_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- base_index out of range (0-199) triggers an error
- All-null values in the selected numeric field may produce empty or degenerate series
- Payment failure (insufficient USDC) blocks execution

## How this service works

Deployment runs — String normalisation + Base-100 series: String normalisation + Base-100 series 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 and standardising component/date string fields across up to 200 rows, and (2) a Base-100 index series for the selected numeric field (deploy_seconds or rollback_count) relative to the specified base index row, enabling relative trend comparison across deployment records.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/deployment-runs-string-normalisation-base-100-series-62344e79/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)
