# Transport Ridership Record Quality Audit and Exact Row Deduplication

> Transport Ridership Record Quality Audit and Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Audits transport ridership records for data quality issues and identifies exact duplicate rows across up to 200 rows of passenger and service count data, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-002?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transport-ridership-record-quality-audit-and-exact-row-deduplication-87ec55d1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AnXnfJxms3PidYededCke

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-record-quality-audit-and-exact-row-deduplication-87ec55d1 -d '<json body>'
```

Example prompt: Can you run a record quality audit and exact duplicate check on my transport ridership data? I have about 50 rows with passenger_count and service_count fields across different regions and dates — I need two reports: one for data quality issues and one showing any exact duplicate rows.

## When to prefer this

Choose this endpoint when you need to simultaneously audit ridership record quality AND detect exact duplicate rows in a single API call at low cost ($0.01 USDC). It is ideal for pre-processing transport ridership datasets (passenger counts, service counts by region and date) before downstream analytics or reporting. It works entirely on supplied data with no external lookups, making it deterministic and privacy-safe. Prefer this over general-purpose data validation tools when your data specifically contains transport ridership fields (passenger_count, service_count, region, date).

## Known failure modes

- Input array is empty or missing — validation error returned
- More than 200 rows submitted — request rejected with row limit error
- Row missing required fields (row_id, region, date, passenger_count, or service_count) — validation error with field details
- Date field does not match YYYY-MM-DD pattern — format validation error
- row_id exceeds 80 characters or is empty — schema validation error
- Payment not provided or insufficient — 402 Payment Required response

## How this service works

Transport ridership — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication for supplied transport ridership records (passenger_count, service_count). 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 independent reports: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, malformed dates, or invalid fields in the ridership rows; and (2) an exact row deduplication report identifying which rows are exact duplicates of one another, including row IDs and duplicate groupings. Both reports are produced locally without any external lookups or predictions.

## 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-record-quality-audit-and-exact-row-deduplication-87ec55d1/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)