# Transport Ridership — Category Frequencies + Base-100 Series

> Transport Ridership — Category Frequencies + Base-100 Series 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).

Computes category frequency distributions and a base-100 indexed time series for supplied transport ridership data (passenger_count or service_count), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-105?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-category-frequencies-base-100-series-90d972d2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sKbuAR8ISXgcUgS6r8oUZ

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-category-frequencies-base-100-series-90d972d2 -d '<json body>'
```

Example prompt: Run a category frequency analysis and base-100 series on my transit ridership data — here are 50 rows with row_id, region, date, passenger_count, and service_count fields. Use passenger_count as the measure and anchor the index to row 0.

## When to prefer this

Choose this endpoint when you have raw transport ridership records (up to 200 rows) and need two specific outputs: a regional category frequency count and a base-100 normalized index series for either passenger_count or service_count. It is a lightweight, offline analytical engine — ideal when you do not need live data, forecasting, or external enrichment, and want both reports delivered in a single cheap API call.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — request will be rejected (maxItems: 200)
- base_index out of range — must be between 0 and 199 and within the actual row count
- Invalid date format — dates must match YYYY-MM-DD pattern
- Missing required fields (row_id, region, date, passenger_count, service_count) — request rejected
- Null numeric values may affect base-100 computation if the base row itself is null
- Payment failure — $0.01 USDC must be confirmed before processing

## How this service works

Transport ridership — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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 reports: (1) a category frequency table showing how often each region label appears across the supplied rows, and (2) a base-100 indexed time series for the selected measure (passenger_count or service_count) anchored to the specified base_index row, computed entirely on 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
  },
  "field": {
   "enum": [
    "passenger_count",
    "service_count"
   ],
   "type": "string",
   "default": "passenger_count"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transport-ridership-category-frequencies-base-100-series-90d972d2/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)