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OpenVerbs Text Diff
x402
OpenVerbs Text Diff is a paid API for AI agents from text.openverbs.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Compares two text strings and returns either a unified-diff patch string or a structured array of added/removed/unchanged segments at line, word, or character granularity.
Price / call$0.002
Success—
StatusUnknown
How this service works
Diff two texts. The default `unified` mode returns a unified-diff patch string; `lines`, `words`, and `chars` modes return a structured array of added/removed/unchanged parts.
Output
For 'unified' mode (default): a unified-diff patch string showing hunks of added (+) and removed (-) lines with context. For 'lines', 'words', or 'chars' modes: a structured JSON array where each element represents a segment tagged as added, removed, or unchanged, allowing programmatic processing of the differences.
Example use cases
Code review change summary
“I have two versions of a Python function — the original and the one my teammate submitted. Can you do a word-level diff so I can see exactly which words changed? Original: 'def calculate(x, y): return x + y' and new: 'def calculate(x, y, z=0): return x + y + z'”
Document revision tracking
“I need to compare my draft contract from last week to the updated version the lawyer sent back. Run a lines diff on these two texts and tell me which lines were added, removed, or stayed the same. Old: 'Payment is due in 30 days. Late fees apply.' New: 'Payment is due in 14 days. Late fees of 2% apply. Disputes must be filed within 7 days.'”
Config file audit
“Can you generate a unified diff patch between my old nginx config and the new one so I can apply it later? Old text is 'worker_processes 1; listen 80;' and new text is 'worker_processes 4; listen 443; ssl on;'”
Technical details
Endpoint
POSThttps://text.openverbs.com/v1/diffWhen to prefer
Choose this endpoint when you need a precise, programmatic text diff — either a ready-to-apply unified patch string or a structured segment array for downstream processing. Prefer it over LLM-based change summarization when you need exact diff semantics, reproducibility, or machine-readable output at line/word/character granularity.
Side effects
- Missing required fields 'a' or 'b' returns a validation error
- Text exceeding 1,000,000 characters per field may be rejected
- Invalid 'mode' value outside the enum returns a validation error
- Empty strings for both inputs return an empty diff with no changes
- Payment failure via x402 protocol returns a 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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