Integrations

Koddi offers a fully API-enabled platform for both inbound and outbound integrations. Every major workflow in the system can be automated through REST APIs or event-driven interactions. This page outlines the supported integration types, core API capabilities, and common external systems that connect to Koddi.

Authentication and Access Control

Koddi supports enterprise-grade authentication and session management. Developers can configure SSO, enforce role-based access, and manage tokens for all API interactions. See our SSO page for more details.

Inventory and Asset Ingestion

Koddi ingests a wide range of structured data to power campaign setup, targeting, and optimization.

Feeds can be uploaded through API endpoints or via scheduled ingestion pipelines. The platform validates structure, enforces required schemas, and processes data in near real time. See our inventory feeds page for more details.

Enterprise Systems

The platform integrates with any system capable of exchanging data via API or secure data collaboration. Common examples include:

Advertising OMS systems for managed service intake.
CRM systems for audience activation or closed-loop data.
CDP platforms for segmentation and identity enrichment.
DMP solutions for unified targeting.
DAM or DCO systems for creative and asset delivery.
CMS or CX systems for personalization.
Data warehouses or data lakes for analytics, ML workflows, and reporting pipelines.
ERP systems for billing and invoicing.

Working with Koddi

Your Koddi team will work on a detailed architecture that aligns the integration requirements with your existing systems. This typically includes:

Discovery and Mapping

A joint review of your data sources, delivery endpoints, identity framework, and workflow dependencies. The goal is to identify which inbound and outbound integration paths apply and how they should be sequenced.

API Interaction Models

Definition of how your systems will call Koddi and how Koddi will call back into your environment. This covers authentication, rate limits, retry logic, payload structures, and error handling patterns.

Data Flow Architecture

Clear diagrams outlining:

How inventory, assets, and audiences enter the platform.
How ad delivery and optimization loops interact with your applications.
How events and reporting data move downstream into your analytics or warehouse layers.
When and where keyed identifiers (user IDs, product IDs, location IDs) are resolved.

Environment and Deployment Planning

Coordination around sandbox, staging, and production setup. This includes SSO configuration, IP allowlists, secrets management, and environment-specific integration points.

Validation and Benchmarking

Load testing, ad delivery latency checks, event throughput validation, and data reconciliation to confirm the integration behaves as expected under real-world conditions.

Ongoing Support and Iteration

Your Koddi team will continue to refine integration patterns as use cases evolve. New data feeds, additional optimization controls, or external system changes can be incorporated with minimal disruption due to the platform’s API-driven design.