# Sampling Observations — String Normalisation + Base-100 Series

> Sampling Observations — 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 2026-10-15).

Computes string normalisation and a base-100 indexed series for up to 200 sampling observation rows (sample_value, sample_weight), returning two local analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-030?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-string-normalisation-base-100-series-7c30adc9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lV-na6x7pkbI_4fLIBa7S

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 sampling-observations-string-normalisation-base-100-series-7c30adc9 -d '<json body>'
```

Example prompt: Can you run string normalisation and a base-100 index series on my sampling observations? I have 4 rows — row-1 on 2026-10-01 with sample_value 10 and weight 1, row-2 on 2026-10-02 with value 20 and weight 2, row-3 on 2026-10-03 with value 15 and weight 3, row-4 on 2026-10-04 with value 30 and weight 4 — use sample_value as the field and base on index 0.

## When to prefer this

Choose this endpoint when you need both string normalisation and base-100 series indexing on the same dataset of sampling observations in a single call, especially when working with up to 200 rows of weighted sample data and wanting two complementary analytical views without any external data lookups or live predictions.

## Known failure modes

- More than 200 rows submitted — API rejects with validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- sample_value or sample_weight outside ±1 trillion range triggers validation failure
- base_index out of range (≥ number of rows submitted) causes error
- Empty rows array (minItems: 1 not met) returns validation error
- Payment not included or insufficient USDC causes 402 response

## How this service works

Sampling observations — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied sampling observations records (sample_value, sample_weight). 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-normalised representation of the selected field across all submitted rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally without external lookups or predictions, covering up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "sample_value",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "sample_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "sample_value": 10,
     "dataset_group": "group-a",
     "sample_weight": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "sample_value": 20,
     "dataset_group": "group-b",
     "sample_weight": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "sample_value": 15,
     "dataset_group": "group-a",
     "sample_weight": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "sample_value": 30,
     "dataset_group": "group-b",
     "sample_weight": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "sample_value",
    "sample_weight"
   ],
   "type": "string",
   "default": "sample_value"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-string-normalisation-base-100-series-7c30adc9/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)