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Arabic Pipeline – Text Diff
x402
Arabic Pipeline – Text Diff is a paid API for AI agents from arabic-pipeline.arabic-pipeline.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-31).
Compares two Arabic text strings and returns added tokens, removed tokens, a similarity score, and an equality flag.
Price / call$0.002
Success—
StatusUnknown
How this service works
Nine micro-capabilities for Arabic-language work, sold per call over x402 in USDC on Base. No API key, no account, no subscription for the buyer: the first request returns a 402 payment challenge, the client pays it and retries. Text utilities are pure computation and cost nothing to serve.
Output
A JSON object containing an array of added Arabic tokens, an array of removed Arabic tokens, a boolean equality flag indicating whether the two texts are identical, a similarity score between 0 and 1, plus the endpoint name and cost in USD.
Example use cases
Translation quality review
“I have the original Arabic sentence 'ذهب الولد إلى المدرسة' and a revised translation draft 'ذهب الطفل إلى المدرسة' — can you diff them and tell me which words changed and how similar the two versions are?”
Document edit tracking
“My editor made changes to this Arabic paragraph — original: 'السماء زرقاء وجميلة' and new version: 'السماء صافية وجميلة جداً' — what was removed, what was added, and how similar are they?”
Duplicate Arabic content detection
“Check whether these two Arabic product descriptions are essentially the same or different — text A is 'هاتف ذكي بشاشة كبيرة' and text B is 'جهاز ذكي بشاشة واسعة' — give me the similarity score and highlight any changed words.”
Technical details
Endpoint
POSThttps://arabic-pipeline.arabic-pipeline.workers.dev/text/diff?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, per-call Arabic text comparison without managing API keys or subscriptions. It is ideal for agents doing one-off or low-volume diffs of Arabic strings where paying $0.002 USDC per call via x402 is more convenient than setting up a full NLP service. Prefer it over general-purpose diff tools that are not Arabic-aware or over heavyweight NLP pipelines when only token-level change detection and similarity scoring are needed.
Side effects
- Missing or empty 'a' or 'b' fields returns a validation error
- Non-Arabic or mixed-script input may produce unexpected tokenization results
- Payment not completed causes a 402 challenge response requiring USDC payment on Base before retry
- Very long texts may produce large diff arrays that increase response payload size
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| a | string | The first text. |
| b | string | The second text. |
Output
Schema · Response
{
"type": "json",
"example": {
"added": [
"يا",
"عالم"
],
"equal": false,
"removed": [
"بالعالم"
],
"cost_usd": 0.002,
"endpoint": "POST /text/diff",
"similarity": 0.4
}
}Tags
x402
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