One Price. One Invoice. No Token Math. | SignalWire

One Price. One Invoice. No Token Math.

Voice AI platforms advertise the platform fee. The other four AI invoices arrive later. SignalWire is $0.16 per minute for all AI components.

$0.16 per minute, AI processing

1 invoice per month

2,000+ companies in production

$0 minimum commitment

What a $0.05 Headline Rate Actually Costs

Five Vendors, Five Invoices

A typical minute touches platform, STT, LLM, TTS, and telephony fees, each billed independently.

Token Pricing Swings 300%

Costs vary with caller verbosity, response length, model choice, and context window size.

Infrastructure You Still Have to Build

State, coordination, observability, and error handling require engineering that dwarfs headline savings.

No Way to Forecast Spend

Five changing variables make reliable monthly forecasting impossible.

Build a Voice AI Agent

Python

TypeScript

Java

Ruby

PHP

Perl

C++

from signalwire import AgentBase
from signalwire.core.function_result import FunctionResult

class SupportAgent(AgentBase):
    def __init__(self):
        super().__init__(name="Support Agent", route="/support")
        self.prompt_add_section("Instructions",
            body="You are a customer support agent. "
                 "Greet the caller and resolve their issue.")
        self.add_language("English", "en-US", "rime.spore:mistv2")

@AgentBase.tool(name="check_order")
    def check_order(self, order_id: str):
        """Check the status of a customer order.

Args:
            order_id: The order ID to look up
        """
        return FunctionResult(f"Order {order_id}: shipped, ETA April 2nd")

agent = SupportAgent()
agent.run()

Per-Token Variability vs. Flat Per-Minute

Multi-Vendor Token Pricing

Separate telephony, STT, TTS, and LLM providers, each with its own SDK. Your glue code manages state across all four services. Each vendor adds a separate queue, invoice, and escalation path. Compliance and observability must be rebuilt across every vendor. 16 to 23 months before a production call.

SignalWire Per-Minute Pricing

Telephony, STT, TTS, and LLM in one platform. AI runs inside the media stack, not outside it. 800–1200ms typical response latency. One vendor, one invoice, one escalation path. Production calls in four to six weeks. State management is platform-native.

Start Building in Minutes

Day 1: Install and build your first agent

Install signalwire-agents, define your agent class, add a prompt, and make your first phone call to a working AI agent.

Weeks 1–2: Connect your business logic

Add tool functions that call your backend: order lookups, appointment scheduling, account verification, and the tools that differentiate your product.

Weeks 2–3: Structure conversation flow

Define steps with scoped prompts and scoped tools. Each step handles one phase of the conversation with focused context.

Weeks 4–6: Go live

Deploy your agent as a standard HTTP microservice. Provision phone numbers, route calls, and move into production.

Weeks 3–4: Test and iterate

Test with real calls. Iterate on prompts and flows. Use the sandbox environment for rapid development cycles.

Sigmond Runs on SignalWire

A voice and video AI agent built on the SignalWire SDK, wired to a live knowledge base, able to see what you show him. Build the same thing on voice, phone, WhatsApp, or SIP, or an entire white-label platform with SignalWire as the network underneath.

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