Tago Io

The REST API covers devices, data (telemetry storage and queries), dashboards, analysis scripts, and actions (automation triggers). Agents can send device telemetry, query stored sensor data with time-range filters and aggregations, retrieve dashboard states, and trigger analysis scripts programmatically. The data query API supports the filtering and aggregation patterns needed for agent-driven sensor data analysis.

Reliability is vendor-managed for the Tago.io cloud platform. Data ingestion reliability is critical for IoT applications where missed telemetry can affect monitoring and control system accuracy. Teams with high-frequency sensor data should verify the ingestion rate limits and data retention policies for their subscription tier.

Tago.io is an IoT application platform providing data ingestion, storage, dashboard visualization, and automation rules for connected device applications. Its combination of a full REST API and a low-code dashboard builder makes it accessible for IoT product teams that need both developer automation and non-technical stakeholder visibility into device data. For agents managing IoT data workflows, Tago's REST API provides programmatic access to device data, analysis results, and automation rule management.

Authentication uses profile tokens and device tokens. Profile tokens carry account-level access for management operations; device tokens are device-scoped for data ingestion. The token model provides appropriate separation between device data submission and platform management operations.

Documentation covers the API and dashboard configuration clearly. The analysis script documentation — explaining how to define server-side automation logic — is useful for teams building event-driven IoT workflows. Teams evaluating Tago.io versus Particle or self-hosted time-series databases for IoT data management should compare the all-in-one platform convenience against the flexibility of building custom IoT backend infrastructure.