A
licenseNot graded
qualityC
maintenanceEnables AI-powered speech-to-text transcription of audio files and URLs using OpenAI Whisper, with support for 50+ languages and micropayments in USDC on Base via the x402 protocol.
12 npm
MIT
NeuroDynamic Audio and LLM APIs
by Hy1ander
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TDQS
A3.8/5.0
Scored across 6 tools
Disambiguation5/5
Each tool maps to a distinct step in the purchase lifecycle: catalogue browsing, quoting, buying JSON-based services, buying file transcription, payment status, and budget status. There is no meaningful overlap between them, and the descriptions clarify the boundaries.
Naming Consistency3/5
Names are readable but mix conventions: read-style tools are bare nouns or noun_noun (catalogue, quote, payment_status, budget_status), while purchase actions use verb_noun (purchase_json, transcribe_file). A uniform get_/list_ or verb_noun pattern would improve consistency.
Tool Count5/5
Six tools is well-scoped for a paid audio/LLM API. Each tool earns its place in the browse-quote-purchase-status workflow without bloat.
Completeness4/5
The core purchase lifecycle is covered: discover services, price them, buy narration/LLM text or transcription, and check payment/budget status. Minor gaps exist, such as no explicit output-retrieval or voice-cloning purchase tool, though output is saved to private state and cloning may be out of scope.
Maintenance
ActivityMaintained
ResponsivenessNo issues