Webapi.ai

Build customer support AI agents on your own data and APIs

Intermediate API
Screenshot of Webapi.ai, Build customer support AI agents on your own data and APIs

What is Webapi.ai?

Webapi.ai is an AI chat bot tool that builds customer support AI agents on your own data and APIs. Webapi.ai builds customer support chatbots from your documents, dialogue samples and APIs, then deploys them across web, messaging and SMS channels with an inbox and human handoff.

Webapi.ai is a platform from AILabs Technologies for assembling customer support agents that answer from your own material rather than from a generic model. You feed the bot documents and links (website pages, articles, help centre content, PDF, DOCX and CSV files, plus knowledge bases from Webapi.ai, Intercom or Zendesk), and the system searches that pool when a visitor asks something. There is no model training step in the Basic plan, so the agent stays tied to whatever sources you maintain. Beyond retrieval, the product has two authoring surfaces. Dialogue scenarios let you write sample exchanges between bot and user, which the AI generalises into multi-step conversations. Actions extend a conversation into real work: API calls to your own systems for bookings, order lookups, account changes or ticket cancellation, plus email notifications. Built-in connectors cover Pabbly, Zapier, Zendesk and Calendly, and the same agent can be published to a website widget, Instagram, Facebook Messenger, WhatsApp, Twilio WhatsApp, Telegram and Twilio SMS without rebuilding the logic per channel. Teams that already run their own model stack are not locked out. A custom AI pipeline can be attached to Webapi.ai, which then supplies the surrounding machinery: channels, an inbox, human agent handoff and statistics. That positions the product between no-code chatbot builders and full contact-centre suites, and it suits support and operations teams with a moderate volume of repetitive enquiries and at least one API worth wiring up. Pricing is metered by bot response rather than by seat, and a trial plan runs for 14 days. The heavier enterprise tier bundles data preparation and retrieval strategy work as a service, which suggests the harder part of a good deployment is curating sources, not clicking through a builder.

How do you use Webapi.ai?

  1. 1Create your account
    Sign up to get dashboard access and the $5 in starting credits that cover your first bot responses during evaluation.
  2. 2Load your knowledge sources
    Add website links, articles, PDF, DOCX or CSV files, or connect an existing Intercom or Zendesk knowledge base. Keep each document under the word limit so retrieval stays accurate.
  3. 3Write dialogue scenarios
    Model the conversations you expect by writing sample exchanges. The agent generalises from these samples to handle multi-step flows.
  4. 4Wire up actions and integrations
    Connect your APIs for bookings, order changes or cancellations, and use built-in connectors such as Zapier, Zendesk and Calendly where they already fit.
  5. 5Publish to your channels
    Attach the agent to the website widget, Messenger, WhatsApp, Telegram or SMS, then monitor conversations in the inbox and hand off to human agents when needed.
  6. 6Review the technical docs
    If you plan to connect your own AI pipeline, read the developer documentation before deployment to understand what the platform expects.

Pros and cons

Pros

  • Answers are grounded in sources you control, including website pages, files and Zendesk or Intercom knowledge basesAI
  • Dialogue scenarios and API actions let a bot complete tasks like order checks and cancellations, not just replyAI
  • One agent can be published to web, Instagram, Facebook, WhatsApp, Telegram and SMS without separate buildsAI
  • Bring-your-own AI pipeline option keeps existing model work and adds channels, inbox and statistics around itAI
  • Usage-based response pricing avoids per-seat costs as support headcount growsAI

Cons

  • Basic plan caps Domain Knowledge and Dialogue scenarios at 10000 words combined, which is tight for large help centresAI
  • Per-document limit of 7000 words forces splitting long manuals and policiesAI
  • No published list of supported languages or compliance certifications beyond a GDPR mentionAI
  • Advanced retrieval tuning is sold as an enterprise service at $1,200 per month, so smaller teams are left to self-serveAI
  • Response-based metering makes cost forecasting harder for teams with spiky conversation volumesAI

How much does Webapi.ai cost?

Free trial

A free trial plan runs for 14 days with one administrator, up to 500 article views and analytics and reports. New users also receive $5 in credits on the Basic plan.

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Pricing

A 14 day free trial plan includes one administrator, up to 500 article views and analytics. The Basic plan is metered at $0.15 to $4 per 100 bot responses with $5 in credits for new users, unlimited administrators, 10000 words across knowledge and scenarios, and up to 500 documents. Complete care is $1,200 per month for enterprises.

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Support

Contact options listed on the site include phone, email at success@webapi.ai, a live customer support chat widget, a knowledge base with request submission, a Medium blog and demo booking through Calendly.

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Integrations

Built-in connectors include Pabbly, Zapier, Zendesk and Calendly, alongside custom API actions. Messaging channels cover the website widget, Instagram, Facebook Messenger, WhatsApp, Twilio WhatsApp, Telegram and Twilio SMS.

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Features

Knowledge retrieval over links, articles, help centre content, PDF, DOCX and CSV files plus Intercom and Zendesk knowledge bases; dialogue scenarios for multi-step conversation design; API actions for bookings, account changes and cancellations; publishing to web, Instagram, Facebook Messenger, WhatsApp, Telegram and SMS; an inbox with human agents and statistics; and an option to attach your own AI pipeline.

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Frequently asked questions about Webapi.ai

  • How much does Webapi.ai cost?
    A 14 day free trial plan includes one administrator, up to 500 article views and analytics. The Basic plan is metered at $0.15 to $4 per 100 bot responses with $5 in credits for new users, unlimited administrators, 10000 words across knowledge and scenarios, and up to 500 documents. Complete care is $1,200 per month for enterprises.
  • Does Webapi.ai offer a free trial?
    A free trial plan runs for 14 days with one administrator, up to 500 article views and analytics and reports. New users also receive $5 in credits on the Basic plan.
  • Does Webapi.ai have an API?
    Yes, Webapi.ai offers an API.
  • How do you use Webapi.ai?
    The walkthrough on this page covers 6 steps: 1. Create your account 2. Load your knowledge sources 3. Write dialogue scenarios 4. Wire up actions and integrations 5. Publish to your channels 6. Review the technical docs.
  • What platforms does Webapi.ai support?
    Webapi.ai is available on Web App.
  • What does Webapi.ai integrate with?
    Built-in connectors include Pabbly, Zapier, Zendesk and Calendly, alongside custom API actions. Messaging channels cover the website widget, Instagram, Facebook Messenger, WhatsApp, Twilio WhatsApp, Telegram and Twilio SMS.

Status

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Added10/21/2026

Platforms

Web App

Pricing

Free TrialFreemiumSubscription