dTelecom STT
Real-time speech-to-text API for AI agents. Pay with USDC via x402. No API keys, no accounts.
Built on dTelecom DePIN — a decentralized real-time communication network.
x402 99+ languages $0.005/min MCP
Why This Service
Most STT APIs feed raw audio directly to a model. We don't. We are an audio intelligence pipeline — a complete system for turning noisy real-world audio into accurate text.
Features
- Full audio intelligence pipeline — real-time voice activity detection on dedicated hardware, neural noise reduction, speech validation, intelligent audio trimming, and hallucination filtering. Cleaner input = better transcription = no garbage output.
- Dual-engine architecture — Parakeet-TDT (3-4x faster, 25 European languages) + Whisper (99+ languages, contextual prompting). Smart routing directs requests to the best available engine with automatic failover. No single point of failure.
- 99+ languages — 25 European languages via Parakeet-TDT (3-5% WER on top languages), 99+ via Whisper. See docs for per-language WER benchmarks.
- Agent-native access — no API keys, no accounts, no signup. Any AI agent with a USDC wallet (EVM or Solana) can discover, pay, and use this service autonomously via x402.
- Fair usage-based billing — clock pauses on disconnect, only connected streaming time is billed. Reconnect without losing paid time. No other STT provider offers this.
- Privacy — dedicated hardware, local inference. Nothing stored, no audio logs, no training on customer data. Encrypted in transit (TLS/WSS).
- MCP server — use from Claude Code, Claude Desktop, Cursor, and other AI assistants out of the box
Competitive Pricing
Premium quality below major cloud providers:
| Provider | Price/min |
| dTelecom STT (us) | $0.005 |
| OpenAI Whisper | $0.006 |
| Deepgram Nova-3 | $0.0077 |
| Google Cloud STT | $0.016 |
| Azure Real-time | $0.0167 |
| AWS Transcribe | $0.024 |
Pricing
| Rate | $0.005/min |
| Minimum | 5 minutes ($0.025) |
| Maximum | 120 minutes ($0.60) |
| Currency | USDC on Base or Solana |
Quick Start
Python: pip install dtelecom-stt
TypeScript: npm install @dtelecom/stt
MCP (Claude/Cursor): npm install -g @dtelecom/stt-mcp