This AI agent checks a Twitch channel's live status through GraphQL, logs online/offline results, and triggers alerts to your channels or automation when a stream goes live.
The AI agent monitors specified Twitch channels and determines whether they are live or offline. It queries Twitch GraphQL to retrieve stream data and evaluates the stream property to decide status. It logs results and routes notifications to your chosen destinations, enabling timely engagement and accurate history.
One supporting sentence with short explanation.
Query Twitch GraphQL API for each channel to fetch stream data.
Evaluate the stream property to determine live or offline.
Log status to a centralized store with timestamps.
Scale checks across multiple channels and schedules.
Notify configured destinations when a channel goes live.
Customize alert content based on the stream title or category.
Before → Manual status checks miss streams, struggle to scale across many channels, produce inconsistent data, require repetitive setup, and cause fragmented alerts. After → Accurate live status for each channel, scalable checks across many channels, consistent data history, streamlined setup, and centralized, reliable notifications.
One supporting sentence with short explanation.
Fetch the list of Twitch channels to monitor from configuration or a provided list.
Query Twitch GraphQL for each channel and evaluate the stream property to determine live or offline.
Log results and trigger alerts to configured destinations when a channel goes live or changes status.
One supporting sentence with short explanation.
Scenario: A content team wants to monitor three Twitch channels. The AI agent runs every 5 minutes, checks if any channel is live via GraphQL, logs the outcome, and posts a Discord alert immediately when a channel goes live, while also updating a shared status board.
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Need reliable confirmation when their stream goes live to engage audiences promptly.
Coordinate cross-channel promotions with dependable live-status data.
Automate audience notifications and reduce manual checks.
Trigger timely campaigns aligned with live events.
Coordinate live session announcements and participation windows.
Integrate live status into broader automation workflows.
One supporting sentence with short explanation.
Fetches stream data for each channel to determine live/offline status.
Posts real-time live alerts to designated Discord channels.
Publishes live status updates when streams go live.
Delivers live notifications to Slack workspaces.
Archives status history for auditing and trend analysis.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The agent queries the Twitch GraphQL API to retrieve the stream data for each channel, focusing on the presence and value of the stream object. It uses this to determine whether a channel is live or offline. Results are then logged and can trigger alerts. The process is designed to be lightweight and resilient to intermittent API responses.
Yes. The agent supports monitoring multiple Twitch channels by iterating over a configured channel list. It can schedule checks at configurable intervals and batch results for logging and alerts. This makes it scalable for creators, teams, or communities tracking several streams simultaneously.
The query interval is configurable, typically ranging from every few minutes to longer intervals depending on needs and rate limits. The agent can space requests to respect Twitch API quotas while still providing timely live-status updates.
Alerts are delivered to configured destinations such as Discord, X/Twitter, or Slack via webhooks or native integrations. Content and trigger conditions can be customized, including the alert title, message, and streams mentioned. This ensures alerts match your brand voice and audience expectations.
Yes. You can configure multiple destinations so a single live event emits notifications to all required channels. This can be useful for cross-posting or multi-team coordination. The agent handles delivery to each destination independently to ensure reliability.
The agent is designed to handle retries and backoff in case of transient errors. It can queue checks and maintain a local cache of recent results to avoid thrashing. In outage scenarios, it will log failures and alert on the degraded state so teams can respond.
Yes. Status history is stored in a centralized logging store, enabling trend analysis and auditing. You can query past live/offline events, durations, and timestamps to understand audience engagement and streaming patterns.
This AI agent checks a Twitch channel's live status through GraphQL, logs online/offline results, and triggers alerts to your channels or automation when a stream goes live.
