# Road Segment Observations — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Road Segment Observations — Record Quality Audit + String Normalisation + Two-Measure Correlation 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 three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 road segment observation rows containing length and travel-time fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-15-204?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/road-segment-observations-record-quality-audit-string-normalisation-9ff847c5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yYjpvF2FXVwGwYqcTXxQb

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 road-segment-observations-record-quality-audit-string-normalisation-9ff847c5 -d '<json body>'
```

Example prompt: Can you audit this batch of road segment readings for data quality issues, normalise the station group strings, and tell me whether road length and travel time are correlated? Here are up to 200 rows with fields row_id, station_group, date, length_m, and travel_seconds.

## When to prefer this

Choose this endpoint when you need three specific analytics (quality audit, string normalisation, and two-measure correlation) applied simultaneously to road segment observation data in a single low-cost call. It is ideal for pre-pipeline data validation of traffic or road sensor exports where you want consistency checks and a statistical correlation summary without setting up a local analytics stack. It is not suitable for live traffic lookups, route planning, map data, weather, or any operation requiring external data sources.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, length_m, travel_seconds) on any row — row flagged or request rejected
- Date field not matching YYYY-MM-DD pattern — validation failure
- Fewer than 2 rows supplied — correlation computation may fail or return null
- Non-numeric values in length_m or travel_seconds — parsing error or null handling
- Malformed JSON body — HTTP 400 response

## How this service works

Road segment observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied road segment observations records (length_m, travel_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports returned together: (1) a record quality audit flagging missing values, out-of-range entries, and structural issues; (2) a string normalisation report showing how station_group and other string fields have been standardised; and (3) a two-measure correlation report quantifying the statistical relationship between length_m and travel_seconds across the supplied rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/road-segment-observations-record-quality-audit-string-normalisation-9ff847c5/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)