# Survey Scores String Normalisation

> Survey Scores String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Normalises string representations of survey score records (up to 200 rows) using local numeric and data-quality processing.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-survey-scores-normalise?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/survey-scores-string-normalisation-7ec2a227
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nITJ_lVSeJDP-_2jm0wlN

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 survey-scores-string-normalisation-7ec2a227 -d '<json body>'
```

Example prompt: Can you normalise these 4 survey score records for me? Row IDs row-1 through row-4, questions group-a and group-b, dates from 2026-10-01 to 2026-10-04, scores 10, 20, 15, 30, and response counts 1, 2, 3, 4 — I need the strings cleaned and standardised.

## When to prefer this

Choose this endpoint when you need fast, local string normalisation of survey score records without external API dependencies or enrichment. It is ideal for pre-processing pipelines where data quality and consistent formatting of score strings are needed before aggregation, reporting, or ML ingestion — particularly for batches of up to 200 typed survey records.

## Known failure modes

- Batch exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, question, date, score, responses) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Score or responses value outside allowed numeric range — boundary validation error
- Empty rows array — minimum items constraint violation

## How this service works

Survey scores - String normalisation: String normalisation for Survey scores. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable.

## Output

Returns normalised survey score records with cleaned and standardised string fields for each submitted row, applying local numeric and data-quality processing. No external enrichment is performed. Output corresponds one-to-one with the submitted rows (up to 200).

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-scores-string-normalisation-7ec2a227/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)