Vapi
What is Vapi?
Vapi is a voice-agent platform for engineering, support, product, and enterprise teams that deploy and manage automated calls. It combines orchestration, telephony, monitoring, ultra low latency responses, live call tool & data access, and multilingual support, with API access plus TypeScript, Python, cURL, and React web SDKs. Customers include Amazon Ring, Intuit, ServiceTitan, and New York Life. Plans run Build usage based and Scale annual contract.
Last verifiedHow we evaluate
At a glance
- Vapi is best for teams that need to deploy voice agents with low-latency control and enterprise reliability.
- Build Usage based; Scale Annual Contract
- Yes — The platform offers full API access plus TypeScript, Python, cURL, and React web SDKs for building voice agents and calls.
What does Vapi do?
Vapi handles voice-agent deployment by combining orchestration, real-time monitoring, and enterprise-grade configurability in one platform. Teams can define conversation flow, telephony, and integrations, then use built-in tools like ultra low latency responses, natural conversation behavior, and live call tool & data access to keep calls responsive and grounded in context. It also supports custom model support, so builders can bring their own model or work from Vapi's managed options. At scale, Vapi is built for millions of calls with sub-500ms latency, and the platform says it has supported 1 Billion calls, launched 2.5M+ agents, and served 750K+ developers. Enterprise customers such as Amazon Ring, Intuit, ServiceTitan, and New York Life are shown using it, alongside reliability claims like 99.9% uptime for enterprise clients. The platform also offers full API access plus TypeScript, Python, cURL, and React web SDKs for teams that want to build directly into their own systems.
Why use Vapi?
- It combines voice orchestration, monitoring, and telephony control so teams can manage the full call experience in one place.
- Sub-500ms latency and enterprise uptime help keep conversations natural even when traffic grows.
- Built-in guardrails and observability support make it easier to catch hallucinations before they reach customers.
- Bring-your-own-model support reduces lock-in for teams that already have preferred model providers.
- The platform pairs developer APIs with a UI, which helps technical and non-technical teams work from the same system.
Who is Vapi for?
- Engineering teams that want API-first control over voice-agent workflows and infrastructure.
- Support operations teams that need responsive automated calls for customer service.
- Product teams that want to launch and iterate voice experiences quickly.
- Enterprise platform teams that need compliance, access controls, and reliability at scale.
- Builders who need multilingual agents and live data access during calls.
What are Vapi's key features?
Build, test, and deploy in minutes
Create voice agents from context, models, and business data, then move from setup to production in about 1 week with API access and SDKs.
Support SLA
Get defined support coverage for production voice systems, with enterprise clients citing 99.9% uptime and 1 Billion calls supported for reliability.
SSO, OAuth, and RBAC
Control access with SSO, OAuth, and RBAC, which helps teams manage permissions across enterprise deployments and protect sensitive call workflows.
Scalable Infrastructure
Run high-volume voice agents on infrastructure built for 1 Billion calls supported, 1M+ calls per month, and 99.9% uptime for enterprise clients.
AI Guardrails
Add guardrails around agent behavior while using OpenAI and MCP integrations, helping teams keep responses and tool use within defined boundaries.
Ultra low latency
Keep conversations responsive with sub-500ms latency and a reported 755ms performance mark, which matters for natural back-and-forth voice interactions.
Live call tool & data access
Let agents call tools and fetch business data during live conversations through the API, TypeScript, Python, cURL, and React web SDKs.
Multilingual
Build agents that handle multiple languages for global customer conversations, while still using the same API-first workflow and OpenAI-backed model options.
What does Vapi integrate with?
- MCP
- OpenAI
What are Vapi's use cases?
Engineering teams ship voice agents
Engineering teams that want API-first control over voice-agent workflows use Vapi to build and deploy call experiences quickly, using Build, test, and deploy in minutes and API-First Architecture to move from prototype to production without heavy platform overhead. They can also use Automated testing to catch issues before customers do.
Support ops automate customer calls
Support operations teams use Vapi to handle customer service calls with responsive automation, using Support SLA and Ultra low latency to keep conversations fast and dependable. With Live call tool & data access, agents can pull account details or trigger actions during the call instead of handing off every request.
Enterprise teams govern voice rollout
Enterprise platform teams use Vapi to launch voice agents with the controls they need, using SSO, OAuth, and RBAC and AI Guardrails to manage access and reduce risky outputs. Scalable Infrastructure and Enterprise grade uptime help them support production traffic at scale.
Multilingual builders use live data
Builders who need multilingual agents and live data access during calls use Vapi to serve customers in more than one language while keeping responses grounded in current systems. Multilingual and Live call tool & data access help them resolve requests in the moment, not after a callback.
How does Vapi work?
- Give your agent context by defining the first workflow, call goals, and conversation rules in Vapi, then shape behavior with AI Guardrails before you route any live traffic.
- Pick your models and connect OpenAI or your preferred stack, using Bring your own models and Custom model support to match latency, quality, and cost targets.
- Integrate your business data with Live call tool & data access and Tool calling so the agent can look up records, update systems, and answer with current information.
- Tune and observe in production with Reporting & Analytics, A/B experiments, and Automated testing, then iterate on prompts, routing, and fallback behavior as call volume grows.
How much does Vapi cost?
Build
Usage based- Usage based
- 10 call concurrency ($10 per line/month)
- Email + Discord community support
- Custom voices and model access
- HIPAA at $2K/month
- Zero Data Retention at $1K/month
Scale
Annual Contract- Fixed Platform fee and committed volume
- Volume-based per minute pricing
- Enterprise grade
- SOC 2, HIPAA, PCI, SSO, RBAC
- Data residency
- Priority model and provider access
- Support SLA
- Dedicated account team
- HIPAA at $2K/month
- Zero Data Retention at $1K/month
- Trusted at enterprise scale
Frequently asked questions
What is Vapi?
Vapi is a voice-agent platform for engineering, support, product, and enterprise teams that deploy and manage automated calls. It combines orchestration, telephony, monitoring, ultra low latency responses, live call tool & data access, and multilingual support, with API access plus TypeScript, Python, cURL, and React web SDKs. Customers include Amazon Ring, Intuit, ServiceTitan, and New York Life. Plans run Build usage based and Scale annual contract.
How much does Vapi cost? Is it free?
Vapi has 2 paid plans: Build at Usage based, Scale at Annual Contract.
What is Vapi used for? Who is it for?
Vapi is used for Build, test, and deploy in minutes, Support SLA, and SSO, OAuth, and RBAC. It's built for Engineering teams that want API-first control over voice-agent workflows and infrastructure, Support operations teams that need responsive automated calls for customer service, and Product teams that want to launch and iterate voice experiences quickly.
Does Vapi have an API and what does it integrate with?
The platform offers full API access plus TypeScript, Python, cURL, and React web SDKs for building voice agents and calls. It integrates with MCP, OpenAI.
Editor's read
Check the Build tier's concurrency and add-on costs before committing: it includes 10 call concurrency, with extra lines priced at $10 per line/month. If you need HIPAA or zero data retention, those are add-ons on Build and should be budgeted separately.
Explore other Voice AI Agents
