
Phone numbers for AI agents with voice, SMS, OTP & memory via API
By Tanmay Verma, Founder · Last verified 05 Jul 2026
In short
AgentCall — Phone numbers for AI agents with voice, SMS, OTP & memory via API. Best for Developers building AI-powered voice assistants, Customer support teams automating phone interactions, Product teams integrating SMS-based OTP verification. Free to start; paid plans from $29/mo.
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AgentCall fills a niche need for developers integrating AI agents with telephony. It excels in simplicity and API-first design, but its reliance on a single vendor and limited integrations may deter those needing a more comprehensive solution. Consider Twilio or Vonage for broader telephony features.
Skip AgentCall if Skip AgentCall if you need a full-featured contact center platform, on-premise deployment, or if your team lacks programming skills to integrate an API.
Last verified: July 2026
How likely is AgentCall to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →AgentCall provides phone numbers specifically for AI agents, enabling them to make and receive calls, send and receive SMS, handle OTP verification, and maintain conversation memory. It is designed for developers and businesses integrating voice or SMS capabilities into their AI applications, such as chatbots, virtual assistants, or automated customer support systems. The service offers a robust API that allows AI agents to manage phone numbers, initiate calls, send messages, and store context across sessions. Key features include built-in OTP generation for two-factor authentication, persistent conversation memory, streaming voice responses, and seamless integration with AI platforms like OpenAI and LangChain. Pricing is usage-based with a free tier for testing and paid plans that scale with call minutes and SMS volume. The service is cloud-based and accessible via API, making it suitable for both small projects and enterprise deployments. Compared to general telephony APIs like Twilio, AgentCall is purpose-built for AI agents, offering memory and AI-native features out of the box.
AgentCall is purpose-built for developers who want to give AI agents phone capabilities without wrestling with general telephony APIs. Its built-in memory, OTP generation, and streaming voice responses make it a convenient choice for AI-powered customer support, appointment reminders, and lead generation. The free tier is great for prototyping, and paid plans scale with usage. However, if you need a full contact center platform with IVR menus, call routing, or analytics dashboards, you'll outgrow AgentCall quickly. It also lacks the vast ecosystem of integrations that Twilio or Vonage offer. For teams already using OpenAI or LangChain, AgentCall provides a quick path to phone connectivity. But for complex telecom needs, a more traditional provider is better. We'd reach for this when building an AI agent that needs a phone number fast — but we'd switch to something more robust at scale.
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Concrete scenarios for the personas AgentCall actually fits — and what changes day-one when you adopt it.
You need to provision a phone number that an AI agent can use to make outbound calls to customers for appointment reminders.
Outcome: Use AgentCall's API to purchase a number, then initiate calls with streaming voice responses. The agent can confirm appointments and answer questions, with memory of the conversation.
Your app needs to send and verify one-time passwords via SMS during user login.
Outcome: Integrate AgentCall's OTP API to generate and send OTP codes. The service handles generation, delivery, and verification, with webhook callbacks for status.
You want an AI receptionist to answer incoming calls and route them to the right department or provide self-service answers.
Outcome: Use AgentCall to receive calls, have your AI agent process the request using memory of previous interactions, and then route the call or respond via voice.
as of 2026-07-02
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published AgentCall tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Developers prototyping AI agent telephony features with 1 number, 10 voice minutes, and 50 SMS
What this tier adds
Free entry point with 1 number, 10 voice minutes, 50 SMS, 50 OTP verifications, 1 day memory, and community support.
Starter
$29/mo
Ideal for
Small teams needing 3 numbers and moderate call/SMS volume for early-stage projects
What this tier adds
Adds 3 numbers, 100 voice minutes, 500 SMS, 500 OTP, 7 days memory, and email support.
Growth
$99/mo
Ideal for
Growing businesses with higher volume: 10 numbers, 500 voice minutes, and 30-day memory
What this tier adds
Scales to 10 numbers, 500 voice minutes, 2,500 SMS/OTP, 30 days memory, and priority email support.
Enterprise
Custom
Ideal for
Large deployments needing custom volumes, unlimited numbers, dedicated support, and SLA
What this tier adds
Custom plan with unlimited numbers, custom minutes/SMS/OTP, unlimited memory retention, and dedicated support.
The company stage and team size where AgentCall's pricing actually pencils out — and where peers do it cheaper.
AgentCall's pricing is competitive for small-to-medium AI telephony projects, with a free tier for testing and Starter at $29/mo. However, heavy users may find Twilio's pay-as-you-go model cheaper at scale, while enterprise teams needing SLA and custom volumes will need the custom-priced Enterprise plan.
How long it actually takes to get something useful out of AgentCall — broken out by persona, not the marketing-page minute.
Developers can provision a phone number and make their first call within minutes using the API. Non-technical users may need a few hours to set up the integration with an AI platform like OpenAI or LangChain.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Durable execution platform for reliable AI agents and workflows.
Fast web crawling, scraping, and search API for AI agents
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