The Execution Engine
for Agents to Deliver.
One execution layer for every agent, every protocol, every app.
Why Falcon.
Reduce Token Spend by 90%
Agents burn tokens on bloated tool lists, raw payloads, and repeated fetches. Falcon filters, shapes, and caches — your agent only sees what it needs.
Boost Success Rate
Most agent calls fail for boring reasons — bad connections, wrong tools, stale tokens. Falcon handles all three before your agent even notices.
Secure Every Action
Agents with unchecked access are a security incident waiting to happen. Falcon enforces permissions, approvals, and audit trails before any action touches production.
The Integration Execution Layer
for Agents and Beyond.
Falcon absorbs the complexity of every agentic and app protocol
— so you ship agents, not integrations.
AI Agent Frameworks
Agents
Software Systems
Falcon
AI Action Runtime
Enterprise Actions
For an Agent to be truly useful, it must be able to reason across a variety of tools and data sources. The challenge today isn't just the reasoning engine; it's the plumbing — ensuring the Agent has a reliable, secure way to reach into the systems where the work actually happens.
Andrew Ng
The Batch, 2024
Your Integrations. As Code.
No Black Boxes. Just YAML.
Every connector is a YAML file in Git — reviewable in PRs,
testable before deploy, and reproducible across environments.
info:
title: BambooHR
key: bamboohr
version: 1.2.0
auth:
type: api_key
configFields:
- key: api_token
secret: true
- key: subdomain
baseUrl: https://${credentials.subdomain}.bamboohr.com/api
actions:
list_employees:
categories: [hris]
actionType: list
steps:
- type: paginated_request
path: /v1/employees/directory
- type: map_fields
schema: hris/employee
fieldConfigs:
- targetFieldKey: first_name
expression: $.firstName
- targetFieldKey: employment_status
enumMapper:
Active: active
Inactive: inactiveauth Define once, inherited everywhere
Set auth type and credentials at the connector level. Every action inherits them. Sensitive values encrypted with secret: true.
paginated_request Pagination without the plumbing
Define JSONPath specs for data and cursor extraction. The engine handles page looping until no more results — no pagination code to write.
map_fields Field mapping and enum normalization
Transform provider responses into standard output. Enum values like BambooHR's "Active" map to active via enumMapper.
Production Capabilities
Your Agents Need.
Agent Tool Discovery
Scope tools by provider, action, tenant, or context — so the agent only sees what it needs, not everything that exists.
Auth & Approval
Control what agents do autonomously vs. what needs human approval. Set granular policies so reads flow freely while sensitive operations get a sign-off.
File Handling
Fetch URLs, detect formats, extract text from PDFs, parse spreadsheets, encode images for vision models — no custom file handlers needed.
Data Transformation
Full payloads to your app. Token-efficient summaries to your agent. One tool call, two outputs — each optimized for where it's going.
Execution Hooks
Inject logic before and after every tool call — validate permissions, sanitize inputs, log everything, or block execution on the fly.
Multi-Tenancy
Isolated execution contexts and full audit logs per customer. No bleeding data or permissions across accounts.
Agent Execution Engine FAQ
Put your AI agents to work
All the tools you need to build and scale AI agents integrations, with best-in-class security & privacy.