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HALOWERK Cue Reading Speed Estimator
x402
HALOWERK Cue Reading Speed Estimator is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.031/call, status unknown (last checked 2026-10-10).
Estimates how long it takes to read a given text at a specified reading speed, returning a time-based cue duration for broadcast or captioning workflows.
Price / call$0.031
Success—
StatusUnknown
How this service works
HALOWERK medienwerk — bezahlte Endpunkte nach x402. Preise in USDC auf Base Mainnet.
Output
Returns a JSON object with the estimated reading duration (in seconds and/or milliseconds), word count, character count, and optionally the effective words-per-minute used in the calculation — giving media producers precise cue timing for display, captioning, or broadcast workflows.
Example use cases
Subtitle timing for broadcast segment
“I need to know how long this subtitle line will stay on screen for an average viewer reading at 160 words per minute: 'The suspect was apprehended late Tuesday evening following a three-hour standoff with police.'”
Teleprompter cue pacing check
“Can you calculate how many seconds it will take a presenter to read this teleprompter passage at 200 words per minute: 'Welcome back to the evening edition. Tonight we cover the latest developments in the ongoing climate summit, with exclusive interviews from world leaders.'”
Lower-third graphic display duration
“I'm designing a lower-third graphic that shows the text 'Deputy Mayor Sarah Hoffmann — City Infrastructure Committee' — how long should it stay on screen so a typical viewer reading at 180 wpm can comfortably read it?”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/baumarkt/media/cue-reading-speed?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need programmatic, cost-effective reading-time estimation for media production workflows — especially broadcast cue sheets, subtitle timing, teleprompter pacing, or lower-third display duration — and require a JSON response suitable for automated pipeline integration rather than a manual rule-of-thumb calculation.
Side effects
- Empty or missing text input returns a validation error
- Extremely short texts (single word) may return near-zero durations
- Invalid or out-of-range words-per-minute values trigger a parameter error
- Very long texts may produce large duration values that need downstream sanity checks
- Non-text binary input will be rejected
Output
Schema · Response
{
"type": "json"
}Tags
x402
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