# Podcast Observations — String Normalisation + Trailing Mean Series

> Podcast Observations — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs string normalisation and trailing mean series analytics on user-supplied podcast observation records (download_count, duration_minutes) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-09-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/podcast-observations-string-normalisation-trailing-mean-series-bd975b19
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cIYnO3-Bqx7Sdzx418nS-

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 podcast-observations-string-normalisation-trailing-mean-series-bd975b19 -d '<json body>'
```

Example prompt: I have 50 rows of podcast data with columns row_id, channel_group, date, download_count, and duration_minutes — can you run string normalisation and a trailing mean series on the download_count field with a window of 7?

## When to prefer this

Choose this endpoint when you have up to 200 rows of podcast observation records and need both string normalisation and a rolling/trailing mean series computed together in a single cost-efficient call ($0.01 USDC for both reports). Ideal for offline batch analytics on podcast download or duration data without requiring live data feeds, predictions, or external enrichment.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Window size smaller than 2 or larger than 200 — validation error
- Invalid date format (not YYYY-MM-DD) in any row — schema rejection
- Field value not one of the allowed enum values (download_count, duration_minutes) — error
- Missing required row fields (row_id, channel_group, date) — schema validation failure
- All numeric values null — trailing mean may return empty or null results

## How this service works

Podcast observations — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied podcast observations records (download_count, duration_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

Returns two analytical reports derived from the supplied podcast observation rows: (1) a string-normalised version of the chosen field across all rows, and (2) a trailing mean series computed over the specified rolling window — both produced locally without external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "download_count",
     "duration_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
     },
     "download_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "channel_group": "group-a",
     "download_count": 10,
     "duration_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "channel_group": "group-b",
     "download_count": 20,
     "duration_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "channel_group": "group-a",
     "download_count": 15,
     "duration_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "channel_group": "group-b",
     "download_count": 30,
     "duration_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "download_count",
    "duration_minutes"
   ],
   "type": "string",
   "default": "download_count"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/podcast-observations-string-normalisation-trailing-mean-series-bd975b19/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)