arabic_sentiment

shallow

io.github.deriveit33z-ship-it/x402-apis · Verify this server

Analyze sentiment in Arabic text. Supports Gulf/Khaleeji, Egyptian, Levantine, and MSA dialects. Returns sentiment (positive/negative/neutral), confidence score, detected dialect, and keywords. Global LLMs hit ~45% accuracy on Gulf dialect — this tool is purpose-built for it.

100.0/100

1 trials · measured 8 days ago

arabic_sentiment scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.deriveit33z-ship-it/x402-apis, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Category
Developer infrastructure
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: arabic_sentiment
[![Vouch score](https://vouch.tools/api/tools/24eda5b4-390c-4b87-9eb0-36fe5f60dfd3/badge.svg)](https://vouch.tools/tools/24eda5b4-390c-4b87-9eb0-36fe5f60dfd3)
arabic_sentiment — Vouch