




Losant provides an IoT platform for device connectivity, data collection, visualisation, and workflow automation, enabling organisations to build scalable IoT solutions and real-time monitoring systems.
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Makini maintains a comprehensive data model built from analyzing thousands of industrial systems. When data flows through Makini, we automatically transform it from the source system's format into our standardized structure. For example, purchase orders from SAP, NetSuite, and Dynamics all return with consistent field names, data types, and structures. This normalization happens in real-time as data passes through the API. You also have access to raw data if needed for specific use cases. The unified model covers common entities like purchase orders, work orders, inventory items, vendors, and assets, with extensive field coverage across systems.
All Makini webhooks include a signature header for verification. The signature is an HMAC hash of the webhook payload using your webhook secret as the key. To verify a webhook, compute the HMAC using your secret and compare it to the signature header using constant-time comparison to avoid timing attacks. Never process webhook data without verification, as this could expose your system to forged requests. Your webhook secret is provided when you configure webhooks and should be stored securely. Webhook verification ensures that only legitimate requests from Makini are processed by your application.
Makini maintains API stability and provides advance notice of breaking changes. The current API version is v1. When we introduce breaking changes, we release a new API version while maintaining the previous version for a transition period (typically 12 months minimum). Non-breaking changes (like adding new fields or endpoints) are introduced into the current version without requiring updates. We announce upcoming version changes through multiple channels: email notifications, dashboard announcements, and release notes. API responses include version information in headers. We recommend specifying the API version explicitly in your requests to ensure consistent behavior. During version transitions, we provide migration guides and support for updating integrations.
Yes, through Makini Flows, which includes connectors for popular databases including Snowflake, PostgreSQL, MySQL, MongoDB, and others. This enables workflows that synchronize data between industrial systems and your data warehouse or analytics platforms. For example, you can sync purchase orders from SAP to Snowflake for analytics, or use database queries to drive integration logic. Database integrations use the same workflow builder as other integrations, making it easy to combine industrial system data with database operations. For direct database-to-database syncing, we can help design optimized workflows. Database connections are treated as custom integrations and may require additional workflow development.
