ClawTick

What is ClawTick?

ClawTick is a cloud scheduler built for AI agents and automated workflows. It lets you schedule tasks via a command-line interface (CLI) and run them reliably on a serverless AWS-backed infrastructure rather than relying on self-managed cron jobs.

It supports integrations that work with webhooks/HTTP calls and can be used with agent frameworks such as Claude, GPT, LangChain, and CrewAI, plus any system that exposes a webhook URL. The core purpose is to provide scheduling plus operational visibility (monitoring, alerts, retries, and execution history) so agent-driven tasks run without manual server management.

Key Features

• CLI-first job scheduling: Create scheduled jobs with one command (e.g., clawtick jobs create), keeping agent workflows simple.
• Cron-based scheduling: Use cron expressions to define when jobs should run (example shown with daily and interval schedules).
• Webhook/HTTP integrations: Trigger tasks by calling a webhook URL using configurable HTTP method and request body.
• Built-in monitoring and alerts: Get email alerts on failures and track job execution behavior through logs/history.
• Auto-retry logic: Retries are included to help scheduled tasks handle failures without custom infrastructure work.
• Execution history and logs: Searchable execution history is available for a defined retention window (shown as 7–90 days) to support debugging and analysis.
• Multiple access paths in sync: The same jobs are available via CLI, a web dashboard, and a REST API.

How to Use ClawTick

1. Install the CLI: Use npm install -g clawtick.
2. Authenticate: Run clawtick login --key <your_api_key>.
3. Create a scheduled job: Use clawtick jobs create with a cron schedule plus integration details (webhook URL, method, and optional body).
4. Verify and manage: List jobs with clawtick jobs list, check status, and use the dashboard for job management and execution history.

A typical flow shown in the source is: install → login → create a job with --cron and --integration webhook → receive a job ID, next run time, and status.

Use Cases

• Daily report generation (LangChain workflow): Schedule a LangChain-driven workflow to generate business intelligence reports at a specific time (e.g., daily at 8 AM UTC) by calling a webhook with a request body indicating the report type.
• Health checks with frequent monitoring: Run a webhook-based health check on an interval (e.g., every 15 minutes) so you can receive instant failure alerts when the target endpoint stops responding.
• Hourly data sync with retries: Schedule periodic data synchronization via a webhook call (e.g., hourly) so the integration can automatically retry on failure.
• Agent-friendly infrastructure replacement for cron: Use ClawTick as the scheduling layer for AI agents that need an API-driven way to schedule and observe jobs, rather than manually setting up cron and building monitoring/logging.
• Programmatic job control from tools: Manage scheduled tasks from other systems using the REST API (e.g., creating jobs and reading status/logs from any language that can call HTTP).

FAQ

• What does ClawTick schedule? It schedules tasks by invoking integrations—most directly shown as webhook/HTTP calls—based on cron expressions.

• Can I use ClawTick with agent frameworks like LangChain or CrewAI? The source states it works with LangChain and CrewAI, and also with systems compatible with webhook URLs.

• How do I set up a job trigger? Use the CLI clawtick jobs create command with --cron plus integration parameters such as --webhook-url (and optionally method and body).

• How do I know if a scheduled job fails? ClawTick includes built-in monitoring with failure alerts (email) and provides execution history with logs for troubleshooting.

• Is there more than one way to interact with jobs? Yes. The same jobs are accessible through the CLI, a dashboard (for humans), and a REST API (for programmatic access).

Alternatives

• Traditional cron on your own servers: Cron can schedule simple scripts, but you typically need to build monitoring, alerts, logging, and retry handling yourself, and you must maintain the infrastructure.
• Managed workflow schedulers (job orchestration platforms): These focus on orchestrating jobs and pipelines, but may require a different workflow model than webhook-triggered tasks controlled directly by agents.
• Webhook-based scheduler services: Alternatives that schedule webhook calls can cover similar integration needs; the difference is whether they provide built-in alerts/retries/execution history and a CLI/API-first experience.
• Serverless functions with a schedule trigger: You can schedule serverless functions (e.g., via platform schedulers) and add your own alerting/logging; this shifts operational responsibility away from the scheduler to custom components.