Automata Text Comparator — Literal String Diff

x402

Automata Text Comparator — Literal String Diff is a paid API for AI agents from tienda.textokit.store, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-20).

Compares two text strings byte-by-byte and returns whether they are equal, their lengths, and the exact position of the first difference in Unicode code points and UTF-16 offsets.

Price / call$0.001

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StatusUnknown

How this service works

Compare two strings literally, with no normalization and no inference: equality, lengths, and the first difference with line, column, Unicode code point and UTF-16 offset. Up to 20,000 UTF-16 units each. Use this when an agent must check that a delivered text matches the agreed text exactly, or locate where two versions diverge. Deterministic JSON. Free sample at /api/comparar-textos/sample.

Output

A JSON object indicating whether the two strings are equal ('equal' boolean), the UTF-16 and code-point lengths of each string, and — if they differ — the precise location of the first difference including line number (1-based), column number (1-based, in code points), UTF-16 offset (0-based), the specific character and its Unicode code point in each string, and a note on the scope and limitations of the comparison.

Example use cases

Submission integrity check for plagiarism

“I need to verify that the essay a student submitted is byte-for-byte identical to the draft they sent earlier — the original is the draft text and the delivered version is the final submission. Tell me if they match and where the first difference is.”

Proofreading diff for edited contracts

“Can you compare my original contract clause with the version the other party returned and pinpoint the exact character, line, and column where they made a change?”

Automated pipeline output verification

“My text-processing pipeline should output exactly the same string it received. Compare the input text and output text and tell me if there's any difference, and if so, at which UTF-16 offset it first appears.”

Technical details

Endpoint

POSThttps://tienda.textokit.store/api/comparar-textos?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a literal, character-level comparison of two text strings and need to know the exact position (line, column, UTF-16 offset, code point index) of the first discrepancy. It is ideal for verifying document integrity, checking submission accuracy, or debugging text pipelines where exact byte-level equality matters. It does NOT normalize whitespace, infer semantic equivalence, or check file bytes — use it strictly for raw string comparison up to 20,000 UTF-16 units per string.

Side effects

Input string exceeds 20,000 UTF-16 units — request rejected
Malformed JSON body — 400 error
Payment not provided or insufficient USDC — 402 Payment Required
Network or Base blockchain transaction failure — payment not confirmed
Missing 'original' or 'entrega' fields — validation error

Input

Schema · Request body

Field	Type	Description
entrega	string	Delivered text; handler limit: 20000 UTF-16 units
original	string	Original text; handler limit: 20000 UTF-16 units

Output

Schema · Response

{
  "type": "json",
  "example": {
    "equal": false,
    "scope": "Compara literalmente las cadenas recibidas, sin normalización ni inferencia. No verifica bytes de archivos, hechos ni aceptación de una entrega.",
    "lengths": {
      "entrega": {
        "utf16": 3,
        "codePoints": 2
      },
      "original": {
        "utf16": 3,
        "codePoints": 2
      }
    },
    "firstDifference": {
      "line": 1,
      "column": 2,
      "entrega": {
        "character": "b",
        "codePoint": "U+0062"
      },
      "original": {
        "character": "a",
        "codePoint": "U+0061"
      },
      "utf16Offset": 2,
      "codePointIndex": 1
    },
    "positionConvention": {
      "lineBase": 1,
      "columnBase": 1,
      "columnUnit": "Unicode code points",
      "lineSeparator": "LF",
      "utf16OffsetBase": 0,
      "codePointIndexBase": 0
    }
  }
}

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