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Text Diff (Word/Line)
x402
Text Diff (Word/Line) is a paid API for AI agents from text-similarity.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-21).
Computes a diff of two short texts into equal, inserted, and deleted segments at word or line granularity, returning counts and a similarity ratio.
Price / call$0.02
Success—
StatusUnknown
How this service works
Diff of two short texts into equal, deleted and inserted lines or words, with counts and a similarity ratio.
Output
Returns a structured diff with an array of edit operations (each tagged as equal, insert, or delete with the affected text and token count), total added/removed/unchanged unit counts, word or character counts for each input text, an overall similarity ratio between 0 and 1, a human-readable summary and verdict, and metadata like the diff unit and timestamp.
Example use cases
Detect edits in revised draft
“I have an original paragraph and a revised version — can you diff them word by word and show me exactly what was added, deleted, and kept the same, along with a similarity score? Original: 'Our product ships in 3 to 5 business days.' Revised: 'Our product ships in 1 to 2 business days via express delivery.'”
Line-by-line changelog review
“Compare these two config file snippets line by line and tell me which lines were added, removed, or unchanged: original is 'timeout=30
retries=3
verbose=false' and the new version is 'timeout=60
retries=5
verbose=true
log_level=debug'.”
Check how much a translation drifted
“I paraphrased a sentence and want to know how different it is from the original — diff these two word by word and give me the similarity ratio: 'Customers must register before placing an order.' vs 'Users are required to sign up prior to submitting a purchase.'”
Technical details
Endpoint
GEThttps://text-similarity.x402tookit.com/text-diff?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, token-level breakdown of differences between two short texts — not just a similarity score but the actual edit operations (what was added, deleted, kept). It is ideal when you need both the diff sequence and a similarity ratio in a single call. Prefer it over pure similarity endpoints (Levenshtein, cosine, Jaro-Winkler) when the agent needs to explain or display what changed, not just how different the texts are. Best for texts up to 2000 characters each.
Side effects
- Missing required parameters 'a' or 'b' returns an error
- Input text exceeding 2000 characters per field may be rejected or truncated
- Invalid 'unit' enum value (not 'word' or 'line') returns a validation error
- Empty strings for both inputs may return a trivial result with ratio 1.0 or 0.0
- Payment failure (x402) results in 402 response and no diff is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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