Start monitoring a live financial webcast for transcription and stress analysis.

Provide a URL to a live earnings call, CNBC stream, or any webcast. The server will extract the audio stream, begin chunking it into 15-second segments, and continuously transcribe them in the background.

If the audio is low-quality (speakerphone, poor connection), set disable_vad=true to prevent the voice activity detector from aggressively dropping muddy speech segments.

Returns a stream_id you'll use for all subsequent operations.

Retrieve the rolling transcript from a monitored stream.

Returns the concatenated text from the last N minutes, ideal for feeding into an LLM for summarisation or sentiment analysis of the earnings call in progress.

Analyse the speaker's vocal stress over a recent time window.

Extracts F0 pitch contour, measures pitch jitter (vocal tremor), and detects hesitation patterns (pauses > 400ms). Returns a composite stress score from 0–100 where:

0–20 = confident, fluent delivery 20–45 = normal variation 45–75 = elevated stress — worth monitoring 75–100 = high stress — potential market-moving signal

Higher scores correlate with executive nervousness, evasion, and uncertainty — the kind of prosodic signals that precede guidance revisions and earnings misses.

Stop monitoring a live stream and clean up all resources.

Kills the ffmpeg process, removes temporary audio files, and clears the transcript buffer.