# Transport Ridership Data Quality Suite — Audit, Normalisation & Deduplication

> Transport Ridership Data Quality Suite — Audit, Normalisation & Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three data-quality reports (record quality audit, string normalisation, and exact row deduplication) on up to 200 transport ridership rows containing passenger and service counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-191?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transport-ridership-data-quality-suite-audit-normalisation-220cd41c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LpWwr2eBbMLWh4pSzfpFH

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 transport-ridership-data-quality-suite-audit-normalisation-220cd41c -d '<json body>'
```

Example prompt: Can you run a full data quality check on my transit ridership records — audit for bad values, normalise the region strings, and flag any exact duplicate rows? Here are up to 200 rows with fields: row_id, region, date, passenger_count, and service_count.

## When to prefer this

Choose this endpoint when you need all three data-quality operations — record audit, string normalisation, and exact deduplication — applied to transport ridership data in a single cost-efficient call ($0.01 USDC for all three reports). It is ideal for batch pre-processing pipelines of up to 200 rows before loading into analytics systems, and when you need offline, deterministic quality checks with no external data dependencies or side effects.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, region, date, passenger_count, service_count) causes rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not met) causes a schema error
- Payment of 0.01 USDC not provided results in 402 Payment Required

## How this service works

Transport ridership — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied transport ridership records (passenger_count, service_count). 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 reports delivered together: (1) a record quality audit flagging malformed, null, or out-of-range values in passenger_count and service_count; (2) a string normalisation report showing standardised versions of region strings; (3) an exact row deduplication report identifying and listing duplicate rows. All reports are derived purely from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transport-ridership-data-quality-suite-audit-normalisation-220cd41c/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)