Anchor X402 Datetime Parser

Name: Anchor X402 Datetime Parser
Price: 0.001 USD

x402

Anchor X402 Datetime Parser is a paid API for AI agents from api.anchor-x402.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).

Parses any freeform datetime string into a structured, normalized representation

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Parse any freeform datetime string into a structured normalized form — $0.001 USDC

Output

A structured, normalized datetime object containing parsed components such as ISO 8601 timestamp, year, month, day, hour, minute, second, timezone inference, and possibly a confidence indicator for ambiguous inputs.

Example use cases

Example prompt

“Can you parse this messy date string for me — 'next Thurs at half past three in the afternoon' — and give me a clean, structured breakdown of the date and time?”

Technical details

Endpoint

POSThttps://api.anchor-x402.com/v1/parse/datetime

When to prefer

Use this endpoint when you need to normalize user-entered, scraped, or freeform datetime strings into a structured, machine-readable format — especially when inputs are inconsistent, informal, or ambiguous. It is well-suited for preprocessing pipelines, form validation, or agentic workflows that receive natural language dates.

Side effects

Completely unparseable input returns an error or null result
Ambiguous dates (e.g. '01/02/03') may produce low-confidence or incorrect parsing
Missing timezone context may result in UTC assumption without warning
Very short or context-free strings like 'tomorrow' without reference date may yield relative-only output
Non-date strings passed as input return a parsing failure

Input

{
  "input": "2024-01-15 14:30:00"
}

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

{
  "iso": "2024-01-15T14:30:00+00:00",
  "unix": 1705329000,
  "timezone": "UTC",
  "components": {
    "day": 15,
    "hour": 14,
    "year": 2024,
    "month": 1,
    "minute": 30,
    "second": 0,
    "weekday": 0,
    "day_name": "Monday"
  },
  "confidence": "high",
  "parsed_input": "2024-01-15 14:30:00",
  "relative_human": "2 years ago",
  "relative_seconds": -76600639
}

Schema · Response

{
  "type": "json",
  "example": {
    "iso": "2026-05-13T15:00:00-04:00",
    "unix": 1778000400,
    "timezone": "America/New_York",
    "components": {
      "day": 13,
      "hour": 15,
      "year": 2026,
      "month": 5,
      "minute": 0,
      "second": 0,
      "weekday": 2,
      "day_name": "Wednesday"
    },
    "confidence": "medium",
    "parsed_input": "next Tuesday at 3pm",
    "relative_human": "in 5 days",
    "relative_seconds": 432000
  }
}

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How this service works

Parse any freeform datetime string into a structured normalized form — $0.001 USDC

Output

Technical details

Endpoint

POSThttps://api.anchor-x402.com/v1/parse/datetime

When to prefer

Side effects

Completely unparseable input returns an error or null result
Ambiguous dates (e.g. '01/02/03') may produce low-confidence or incorrect parsing
Missing timezone context may result in UTC assumption without warning
Very short or context-free strings like 'tomorrow' without reference date may yield relative-only output
Non-date strings passed as input return a parsing failure

Input

{
  "input": "2024-01-15 14:30:00"
}

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

{
  "iso": "2024-01-15T14:30:00+00:00",
  "unix": 1705329000,
  "timezone": "UTC",
  "components": {
    "day": 15,
    "hour": 14,
    "year": 2024,
    "month": 1,
    "minute": 30,
    "second": 0,
    "weekday": 0,
    "day_name": "Monday"
  },
  "confidence": "high",
  "parsed_input": "2024-01-15 14:30:00",
  "relative_human": "2 years ago",
  "relative_seconds": -76600639
}

Schema · Response

{
  "type": "json",
  "example": {
    "iso": "2026-05-13T15:00:00-04:00",
    "unix": 1778000400,
    "timezone": "America/New_York",
    "components": {
      "day": 13,
      "hour": 15,
      "year": 2026,
      "month": 5,
      "minute": 0,
      "second": 0,
      "weekday": 2,
      "day_name": "Wednesday"
    },
    "confidence": "medium",
    "parsed_input": "next Tuesday at 3pm",
    "relative_human": "in 5 days",
    "relative_seconds": 432000
  }
}