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24K Labs Text Diff
x402
24K Labs Text Diff is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Computes a unified diff between two text strings, returning added/removed line counts and a similarity ratio.
Price / call$0.002
Success—
StatusUnknown
How this service works
Unified diff between two texts, plus added/removed line counts and a similarity ratio.
Output
Returns a unified diff string showing added and removed lines between the two input texts, integer counts of added and removed lines, and a floating-point similarity ratio (0–1) indicating how alike the two texts are.
Example use cases
Code review change summary
“I just updated my config file — can you compare the old version 'host=localhost\nport=3000\ndebug=true' with the new one 'host=production.example.com\nport=443\ndebug=false\nssl=true' and give me the unified diff, line counts, and similarity score?”
Document revision tracking
“I have a draft essay I revised. Can you diff the original draft against the updated version and tell me what lines changed, how many were added or removed, and how similar the two versions are?”
Detecting near-duplicate text
“I want to check if these two paragraphs are nearly identical or significantly different — can you compute the diff and similarity ratio between them so I can decide if they're duplicates?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/text-diffWhen to prefer
Choose this endpoint when you need a structured, programmatic diff between two text strings — especially when you want the similarity ratio alongside line-level change counts. Ideal for automated document comparison, code review pipelines, and duplicate-detection workflows where you need both the diff output and a numeric similarity score in a single call.
Side effects
- Missing one or both text inputs returns a validation error
- Extremely large texts may hit size or timeout limits
- Empty string inputs may return a trivial diff or zero-line counts
- Non-UTF-8 encoded content may cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| a | string | |
| b | string |
Output
Schema · Response
{
"type": "json",
"example": {
"similarity": 0.8
}
}Tags
x402
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