Seven scenarios our customers run today. Each combines several feature pillars — personas, actions, voice, antifraud, VPN.
Persona answers WhatsApp DMs with a KB loaded as your product catalog PDFs. Fires send_tracking_link mid-conversation via LLM function-call against the linked Android device.
Cold outreach across multiple Telegram accounts each tunneled through a country-specific ProtonVPN sidecar. Persona qualifies leads and books meetings via tool-call to your calendar API.
Several brand-voice personas, each linked to its own messaging accounts and own knowledge base. Switch tone per brand in seconds.
Cascade Pipecat pipeline keeps cost at ~$0.06 / minute. Per-call hard timeout. Full encrypted call transcript for admin review. Function-call open_ticket(summary, priority) hands off to your help-desk.
One GET /api/v1/lookup?number=+E164 call before you spend money sending an OTP.
Twelve risk signals roll up into a verdict — block, challenge, or pass. Median 50 ms across 55+
countries.
The Neo4j graph behind the antifraud API is queryable. Trace connected components across phone ↔ service ↔ sender ↔ date. Tag clusters as fraud_ring, virtual_pool, sms_dump_mirror.
Public-board farms churn through thousands of phone numbers per day. Every one shows up on our scrapers within minutes. Block the number before it claims your tokens.
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