API (Application Programming Interface)

An AI agent only becomes useful to a business when it can reach the systems the business already runs: the CRM, the calendar, the order database, the ticketing tool. An API is how it does that. Each system publishes a set of addresses (endpoints), the data each one accepts, and what it returns. The agent, or the platform behind it, calls those endpoints during a conversation to look something up or write something down.

How it works. A typical call has four parts: an address such as /contacts, a method (GET to read, POST to create, PATCH to update), a body with the fields being sent, and an authentication token proving who is calling. The system replies with a status code and a payload. For an agent, each endpoint is wrapped as a tool with a plain-language description so the model knows when to use it: "look up an order by number" maps to GET on the orders endpoint with the number as a parameter. Rate limits, timeouts and error handling are set at this wrapping layer. Most agent platforms also expose their own API so you can start conversations, pull transcripts or push knowledge from your own code.

Why it matters for implementation. Whether a given integration is possible, how long it takes to build and how reliably it runs all depend on the API on the other end. A CRM with a documented, rate-limited, token-authenticated API can be connected in days. A system with no API means screen scraping, exports or a person re-keying data, and the agent cannot act during the conversation.

Example. A Shopify store deploys a chat agent for order questions. A customer asks where order 4821 is. The agent calls the store's orders endpoint with that number, receives the fulfillment status and tracking number, and answers. The customer then asks to change the shipping address; the order is already fulfilled, so the endpoint returns an error, the agent explains that and offers to open a ticket, which it does through the helpdesk's API. Both calls are logged with the conversation.

API vs webhook. With an API the agent asks and the system answers; the agent decides when to call. With a webhook the system pushes a message when something happens, without being asked. Reading an order status is an API call; being told a payment just cleared is a webhook. Most integrations use both.

Common pitfalls. Expired tokens that nobody rotates. No retry policy, so one timeout fails the conversation. Missing field validation, so the agent sends a phone number in the wrong format and the write silently fails. Calling a slow endpoint synchronously on a voice call. Logging full payloads that contain personal data without a retention rule.

Botcadence chat agents connect through documented integrations including Salesforce, HubSpot, Zendesk, Google Sheets, Calendly, Slack, JobNimbus and Zapier, with data encrypted with AES-256 at rest and TLS 1.2+ in transit; see integrations.