# Transport Ridership Base-100 Series & Missing-Value Fill

> Transport Ridership Base-100 Series & Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes a base-100 index series and fills missing values for transport ridership data (passenger_count or service_count) across up to 200 rows in two combined analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-169?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transport-ridership-base-100-series-missing-value-fill-5574d0c5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e2ibxaFlaQ29vAWWSOMWT

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-base-100-series-missing-value-fill-5574d0c5 -d '<json body>'
```

Example prompt: Take my transit ridership records for regions group-a and group-b from October 2026 — up to 50 rows with passenger_count and service_count fields — and run the base-100 index series using row-1 as the base, filling any missing passenger_count values with the median.

## When to prefer this

Choose this endpoint when you have pre-collected transport ridership data (passenger counts or service counts) that needs to be normalized to a base-100 index for trend comparison and/or has missing values that need filling — all within a single low-cost call. Ideal for offline analytical pipelines processing up to 200 rows of transit data without needing live external data, predictions, or professional assessments.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, region, date) on any row causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- base_index value pointing to a row index that doesn't exist in the submitted array
- All values for the chosen field are null, making mean/median fill undefined
- Payment of 0.01 USDC not completed — endpoint returns 402

## How this service works

Transport ridership — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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 analytical reports for the supplied transport ridership dataset: (1) a base-100 index series where the specified base row equals 100 and all other rows are scaled relative to it, and (2) an explicit missing-value filled version of the chosen field (passenger_count or service_count) using the selected fill method (zero, mean, or median). Both reports use local analytical engines with no external data 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transport-ridership-base-100-series-missing-value-fill-5574d0c5/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)