API
A defined contract that lets one program call another over the network.
/ quick answer
An API (Application Programming Interface) exposes functionality as callable endpoints. Modern APIs are usually REST or GraphQL over HTTPS, authenticated with keys or OAuth. Every automation stack is API glue. A defined contract that lets one program call another over the network.
What is API?
An API (Application Programming Interface) exposes functionality as callable endpoints. Modern APIs are usually REST or GraphQL over HTTPS, authenticated with keys or OAuth. Every automation stack is API glue.
What is an example of API?
OpenAI's /v1/chat/completions is the API most AI apps are built on. You POST messages, you get tokens back.
Why does API matter for AI and automation?
A defined contract that lets one program call another over the network. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Webhook
An HTTP callback that lets one system push data to another the moment an event happens.
- →No-Code Automation
Building business workflows visually without writing code.
- →Research Automation
Research automation turns a question into a sourced, structured answer using search, retrieval, extraction and synthesis agents.
- →Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
Related workflows
Turn this into a repeatable process.
- →AI CRM Enrichment on Every New Lead
Every new lead gets automatically enriched with firmographics, LinkedIn and intent signal.
- →AI Daily Standup Digest
Auto-generate a team standup from yesterday's Linear, GitHub and Slack activity.
- →Dynamic Context Insertion Workflow
This workflow details how to dynamically inject context-specific information into LLM prompts based on user queries or application state, improving response accuracy and relevance.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
Related tool stacks
The tools that run it in production.
- →Browser Automation Stack
Run browser agents on a schedule with credentials, retries and screenshots.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
- →Crypto Automation Stack
Automation platform, data APIs, alerting and optional wallet execution — the operational layer for monitoring and recurring actions.
- →Document AI Stack
Turn PDFs and scans into validated records with a human exception queue.
Related prompts
Reusable prompts for this job.
- →No-Code Automation Spec Writer
Turn a vague 'I want to automate X' into a buildable scenario spec for Make / n8n / Zapier.
- →Browser Automation Task Spec Prompt
Converts a manual click-path into a reliable automation spec.
- →Sourced Research Brief Prompt
Produces a structured brief where every claim carries a citation.
- →Document Extraction Schema Prompt
Designs the schema and validation rules before you build extraction.
Related use cases
How people apply it, and what came out.
- →Finance Team Automates 14 Supplier Portals with Browser Agents
Weekly invoice retrieval from portals with no API or export.
Comparisons & alternatives
Pick between the options.
- →Best AI Workflow Automation Tools: n8n vs Zapier vs Make
The three tools most operators consider for AI workflow automation — compared on pricing, AI integration and technical flexibility.
- →Browser Agent vs API Automation
APIs win whenever they exist; browser agents exist for the systems that never gave you one.
- →n8n vs Make: Which Automation Platform to Pick
Self-hosted flexibility vs managed ease — pick by team, volume and data sensitivity.