Provider-reported detector size. Not assigned to the whole Velma ensemble or any other model.
Architecture
Not collected
Languages
Not collected
Context caching
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Pricing lists 5 for some detectors. Confirm the applicable organization quota; English diarized streaming may have a lower ceiling than plain transcription.
Prices retain their published currencies and billing units below.
Published billing units · original currency · observed 13 Oct 2026
Category
Usage
Rate
Unit
Audio analysis
Batch Deepfake Detection1
$0.25
audio hour
Rate conditions
Published self-service hourly audio rate, credit-based billing; taxes and negotiated enterprise terms are separate. Optional feature surcharges, where applicable, require the provider’s current account conditions. No text-token rate or cost per question is inferred.
Terms: standard API content and outputs are not retained unless storage is enabled or required by the feature; stored content defaults to 35 days, with separately retained usage metadata and temporary residual backup/log copies. Self-service accounts are automatically enrolled in model improvement. FAQ narrows training to audio marked for storage; enterprise participation and opt-out depend on the agreement. Accent documents a per-request training_permitted=false opt-out. Do not infer a universal no-training or immediate-deletion guarantee.
Endpoint path selects the served family; not a request model parameter or immutable checkpoint ID.
Access
Connect to wss://platform.modulate.ai/api/velma-2-synthetic-voice-detection-streaming with api_key in the WebSocket query. Send the endpoint-specific audio/config frames and finish with its documented end-of-stream signal.
Regions
Public endpoint deployment region and regional routing are not specified in the reviewed API contract.
Pricing lists 5 for some detectors. Confirm the applicable organization quota; English diarized streaming may have a lower ceiling than plain transcription.
Prices retain their published currencies and billing units below.
Published billing units · original currency · observed 13 Oct 2026
Category
Usage
Rate
Unit
Audio analysis
Streaming Deepfake Detection1
$0.25
audio hour
Rate conditions
Published self-service hourly audio rate, credit-based billing; taxes and negotiated enterprise terms are separate. Optional feature surcharges, where applicable, require the provider’s current account conditions. No text-token rate or cost per question is inferred.
Terms: standard API content and outputs are not retained unless storage is enabled or required by the feature; stored content defaults to 35 days, with separately retained usage metadata and temporary residual backup/log copies. Self-service accounts are automatically enrolled in model improvement. FAQ narrows training to audio marked for storage; enterprise participation and opt-out depend on the agreement. Accent documents a per-request training_permitted=false opt-out. Do not infer a universal no-training or immediate-deletion guarantee.
Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUTProcess & retain
The system processes eligible input and retains reusable state.
02 / LATER REQUESTCheck available state
Reuse depends on matching input, session state and the cache policy.
03 / CACHE HITReuse & generate
Reusing state can reduce repeated work. Any charges follow the billing rules below.
Modulate Models API · batch
/api/velma-2-synthetic-voice-detection-batch
Not verified
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
How it works
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Minimum reusable input
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Lifetime & refresh
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
How to enable it
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Usage fields
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Billing rules
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Limits & data boundaries
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Modulate Models API · streaming
/api/velma-2-synthetic-voice-detection-streaming
Not verified
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
How it works
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Minimum reusable input
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Lifetime & refresh
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
How to enable it
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Usage fields
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Billing rules
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
Limits & data boundaries
Not collected
No discounted prompt-cache or persistent model-cache contract verified for these audio endpoints. Streaming buffers, stored clips and per-session speaker labels are not prompt caching.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
What the measurements say
Speech DF Arena · average EER (provider snapshot)
Modulate · provider-reported
1.104% EER
Provider’s August 19, 2026 snapshot across 14 datasets, legacy VELMA-2 entry. Not independently remeasured here. Lower is better. EER is threshold-dependent and does not establish production accuracy, current rank, streaming latency or performance in all languages.
Provider’s August 19, 2026 snapshot across 14 datasets, legacy VELMA-2 entry. Not independently remeasured here. Lower is better. EER is threshold-dependent and does not establish production accuracy, current rank, streaming latency or performance in all languages.
Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model
Why it is included
Modulate presents these as its Velma model suite and audio-native proprietary technology. Its terms retain rights in algorithms and models and license hosted inference, with no public weight artifact identified. Entries represent the named closed managed model families, including ensembles, not invented individual internal checkpoints.
