InfluxDB Cloud

Give your AI agent direct access to real-time metrics through InfluxDB Cloud

Operations teams need instant answers about system performance, sensor readings, and application metrics. Your AI agent writes data to InfluxDB buckets, validates Flux queries, builds dashboard cells, and retrieves DBRP mappings, turning time series monitoring into a conversational experience.

Chosen by 800+ global brands across industries

Time series operations through conversation

Your AI agent interacts with InfluxDB Cloud to ingest data, build visualizations, and manage database configurations without requiring direct database access.

InfluxDB Cloud

Use Cases

Monitoring that speaks your language

Real scenarios where operations teams interact with InfluxDB Cloud through AI agents instead of writing queries manually or navigating dashboards.

Ingesting IoT Sensor Data From the Field

A field technician installs a new sensor and needs to verify it is sending data. They message the AI Agent with sample readings. The agent writes the line protocol data to the correct InfluxDB bucket with nanosecond precision, then confirms the write was successful. The technician validates the data pipeline without touching a terminal or dashboard.

Debugging Flux Queries Before Production

A developer writes a complex Flux query to calculate rolling averages but gets errors. They paste the query into the conversation. The AI Agent submits it to InfluxDB's AST endpoint, which identifies the syntax issue at the exact line and character position. The developer fixes the problem in one iteration instead of guessing through trial and error.

Building Monitoring Dashboards Conversationally

An SRE wants to add a latency panel to the team's production dashboard. They describe the visualization to the AI Agent, which adds a new cell to the specified InfluxDB dashboard with the correct grid position and dimensions. The panel appears on the dashboard. No point-and-click UI navigation required.

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InfluxDB Cloud

InfluxDB Cloud

FAQs

Frequently Asked Questions

How does the AI agent write data to InfluxDB Cloud?

The agent calls InfluxDB Cloud's Write Data API, sending line protocol formatted data to a specified bucket and organization. It supports configurable timestamp precision including nanoseconds, microseconds, milliseconds, and seconds. The write is asynchronous for high-throughput ingestion.

Can the agent validate my Flux queries before running them?

Yes. The agent submits your Flux query to the Generate Query AST endpoint, which parses the script and returns an Abstract Syntax Tree. This validates syntax without executing the query. If there are errors, the response pinpoints the exact location in your script.

What authentication does Tars need for InfluxDB Cloud?

Tars requires your InfluxDB Cloud API Token and Cluster ID. The API Token provides scoped access to your organization's resources. Generate a token from your InfluxDB Cloud dashboard with the specific permissions needed, such as write access to buckets or read access to dashboards.

Does Tars store any of my time series data?

No. Tars sends data directly to InfluxDB Cloud's API endpoints. Written data resides in your InfluxDB buckets. Query results and dashboard configurations are fetched in real time during conversations. Tars does not maintain a separate copy of your metrics or database state.

Can the agent add visualization panels to existing dashboards?

Yes. The agent uses the Add Dashboard Cell API to create new cells on any existing dashboard. You can specify the cell name, grid position, dimensions, and optionally copy the view configuration from an existing cell. The new panel appears immediately on your dashboard.

What is a DBRP mapping and why would the agent manage it?

DBRP stands for Database Retention Policy. It maps InfluxDB v1 database and retention policy names to v2 buckets, enabling backward compatibility for InfluxQL queries. The agent can retrieve and update these mappings, which is essential for organizations migrating from InfluxDB v1 to Cloud.

How is this different from using the InfluxDB Cloud UI directly?

The InfluxDB Cloud UI requires login and navigation through multiple screens. Tars lets your team write data, validate queries, and manage dashboards through natural conversation. Engineers describe what they need in plain language, and the agent handles the API calls. Especially useful for quick operations during incident response.

Does the agent support InfluxDB's line protocol format?

Yes. The agent writes data in standard InfluxDB line protocol format: measurement, tag set, field set, and optional timestamp. It constructs properly formatted payloads from conversational inputs. For example, you can describe a CPU metric with host and region tags and the agent formats the correct line protocol string.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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