The Agentic Data CompanyTask-oriented calls

Task-oriented calls

Scripted voice-agent calls, with mock tools fired at realistic latencies

Not published. Available to buyers under a commercial license.

Sample audio

19:36
Speaker A
Speaker B

Data description

Scripted voice-agent calls: one human performs as agent while a second human performs as the caller. Agent fires mock tools during the call with realistic simulated latencies.

Each speaker’s microphone is captured locally as uncompressed 16-bit PCM WAV - never re-encoded from the call audio - and mastered as 48 kHz mono per-speaker stems (FLAC or WAV). Delivery defaults to 48 kHz. You can choose 8, 16, or 24 kHz instead. Every take ships with the full scene script including that take’s rolled variable values, word-timed per-speaker transcripts keyed agent / caller, and a time-aligned events.jsonl logging every tool_call and tool_result against the delivered audio.

Each script is performed by multiple distinct speaker pairs, never the same speaker twice. Built for training and evaluating tool-calling voice agents: latency-bridging speech, turn-taking around function calls, read-backs and confirmations, and agent-persona TTS.

DetailValue
Speakers per recording
2
Channels
Dual (one file per speaker)
Audio format
.flac / .wav
Sample rate
48 kHz
Bit depth
16-bit PCM
Languages
English (en)
Tool calls per conversation
1to6
Metadata format
.json / .jsonlUTF-8
Transcription type
ASR, word-level with timings(not human-verified)
Transcription engine
Deepgram Nova-3