# CSV Calendar Date Validation for Training Data

> CSV Calendar Date Validation for Training Data is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Validates date columns in a CSV dataset (up to 1000 rows) against configurable min/max bounds and allowed category values, returning a calendar date check report.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-csv-training-data-dates?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/csv-calendar-date-validation-for-training-data-ce7776b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O7xkRq4AQVSIqUtx-3yg4

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 csv-calendar-date-validation-for-training-data-ce7776b1 -d '<json body>'
```

Example prompt: Can you check the date columns in this CSV training dataset to make sure all dates fall between 2024-01-01 and 2026-12-31, using comma as the delimiter? The categories should only be group-a or group-b.

## When to prefer this

Use this endpoint when you need a lightweight, pay-per-call date column validation on a CSV dataset without setting up your own data pipeline. It is ideal for ML training data quality checks where you need to confirm date fields fall within a known range and categorical labels match a whitelist, all without sending data to an external enrichment service. Prefer it over general-purpose CSV validators when calendar date semantics and category allow-listing are the primary concern.

## Known failure modes

- CSV exceeds 1000 rows — only the first 1000 may be processed
- CSV string exceeds 100,000 character limit — request rejected
- Invalid delimiter specified — only comma, semicolon, or tab are accepted
- Cell exceeds max_cell_length — flagged or truncated
- Malformed CSV with unmatched quotes — parse error returned
- Min/max bounds are equal or inverted — may yield unexpected results
- Empty CSV body — validation fails with input error

## How this service works

Training example metadata — Calendar date check: Calendar date check for Training example metadata. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV calendar date check report.

## Output

A calendar date check report indicating which rows or cells contain dates outside the specified min/max bounds, malformed date values, or category values not in the allowed list. The report covers up to 1000 rows of the submitted CSV.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "csv": {
   "type": "string",
   "default": "example_id,created_on,label,text_length,sample_weight\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3",
   "maxLength": 100000,
   "minLength": 1
  },
  "maximum": {
   "type": "number",
   "default": 1000000000000,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": -1000000000000,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "delimiter": {
   "enum": [
    ",",
    ";",
    "\t"
   ],
   "type": "string",
   "default": ","
  },
  "max_cell_length": {
   "type": "integer",
   "default": 1000,
   "maximum": 5000,
   "minimum": 1
  },
  "allowed_categories": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 100,
    "minLength": 1
   },
   "default": [
    "group-a",
    "group-b"
   ],
   "maxItems": 100,
   "minItems": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/csv-calendar-date-validation-for-training-data-ce7776b1/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)
