# Transport Ridership Numeric Interval Filter + Date by Category Pivot

> Transport Ridership Numeric Interval Filter + Date by Category Pivot 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).

Filters transport ridership rows by a numeric range on passenger_count or service_count, and generates a date-by-region pivot table — two analytical reports from user-supplied data, up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-133?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-numeric-interval-filter-date-by-category-pivot-e29771ba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BcGbcLpKCLFrIvxRrAtq8

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-numeric-interval-filter-date-by-category-pivot-e29771ba -d '<json body>'
```

Example prompt: I have ridership records for two regions over the past week — can you filter them to only show rows where passenger_count is between 10 and 50, and also give me a pivot of passenger_count by date and region? Here are the rows: row-1 group-a 2026-10-01 passenger_count=10 service_count=1, row-2 group-b 2026-10-02 passenger_count=20 service_count=2, row-3 group-a 2026-10-03 passenger_count=15 service_count=3.

## When to prefer this

Choose this endpoint when you have up to 200 rows of transport ridership data and need both a numeric range filter and a date-by-region pivot in a single call. It is ideal for local, offline-style analysis of supplied data without any live lookup, prediction, or external data enrichment. Prefer it over general-purpose analytics tools when you want a low-cost ($0.01 USDC), deterministic, two-report batch for transit datasets.

## Known failure modes

- Missing required fields (row_id, region, date, passenger_count, service_count) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maximum and will be rejected
- Minimum greater than maximum produces an empty filter result
- Null values in the selected numeric field are excluded from interval filtering
- Payment of 0.01 USDC must be included; missing payment causes 402 error

## How this service works

Transport ridership — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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) rows from the supplied dataset where the selected numeric field (passenger_count or service_count) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating that field's values by date and region/category. Both reports are computed locally 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transport-ridership-numeric-interval-filter-date-by-category-pivot-e29771ba/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)