# Transport Ridership Data Quality Audit, String Normalisation & Dataset Comparison

> Transport Ridership Data Quality Audit, String Normalisation & Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Runs three analytical reports on transport ridership records: record quality audit, string normalisation, and keyed dataset comparison (up to 200 rows, no external lookups).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-207?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transport-ridership-data-quality-audit-string-normalisation-dataset-c1988cf9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZS7HeYvgY5JMtQKq1E_Ho

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-audit-string-normalisation-dataset-c1988cf9 -d '<json body>'
```

Example prompt: Can you audit the quality of these transit ridership records, normalise the region name strings, and compare them against our previous export? I've got two datasets of up to 200 rows each, with row_id, region, date, passenger_count, and service_count fields.

## When to prefer this

Choose this endpoint when you have transport ridership data (passenger_count, service_count per region and date) that needs offline quality auditing, string normalisation, and/or comparison against a second dataset in a single low-cost call. It is ideal for pre-ingestion validation pipelines, reconciling two data exports, or cleaning region name inconsistencies — all without sending data to an external live lookup or prediction service. Best suited for batch sizes up to 200 rows.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, region, date, passenger_count, service_count) are rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty rows array returns an error
- Payment not included or insufficient USDC causes x402 payment-required response

## How this service works

Transport ridership — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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

Returns three independent analytical reports: (1) a record quality audit flagging missing, out-of-range, or malformed values in passenger_count, service_count, date, and region fields; (2) a string normalisation report showing cleaned/standardised versions of string fields like region; and (3) a keyed dataset comparison report detailing row-level differences between the primary and secondary datasets matched on row_id.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transport-ridership-data-quality-audit-string-normalisation-dataset-c1988cf9/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)