Webhook Scheduler is an API and dashboard for one-off delayed HTTPS requests. Schedule a callback with a URL, payload, headers, and run time; cancel it with one API call if the underlying state changes. Failed deliveries use automatic retries, while every attempt records its status code, latency, response preview, and timeline.
It is designed for cancelable trial reminders, payment follow-ups, delayed onboarding, and background API callbacks. Test a real delivery without an account, then start free with 100 jobs per month.
Cancel Before Dispatch
Cancel a pending job with one API call when a customer upgrades, pays, or completes the expected action first.
One-Off Delayed Webhooks
Schedule a public HTTPS request for a future timestamp with its method, payload, and optional headers.
Automatic Recovery
Retry transient delivery failures with exponential backoff and plan-based recovery attempts.
Delivery Evidence
Inspect status code, latency, response preview, and retry timeline for every delivery attempt.
API and Dashboard
Create, inspect, cancel, and retry jobs through the API while support teams use the operational dashboard.
HTTPS and SSRF Protection
Accept public HTTPS targets only and reject localhost, private networks, and unsafe destinations.
Signed Deliveries
Verify webhook authenticity using HMAC-SHA256 delivery signatures.
Webhook Scheduler is early-stage and does not publish customer names yet.
Choose Webhook Scheduler when you need a simple API plus an operational dashboard for cancelable one-off deliveries, automatic retries, and per-attempt evidence without maintaining cron polling or a queue worker. Teams that primarily need recurring cron schedules, queue semantics, or complex workflows should compare products built specifically for those requirements.
Webhook Scheduler focuses on one-off HTTP jobs that may need to be canceled when product state changes. A team can schedule a trial reminder or payment follow-up, cancel it with one API call if the customer acts first, and inspect evidence for every delivery attempt. A real scheduled delivery can also be tested without creating an account.
Backend developers, technical SaaS founders, and small product teams that need customer-specific HTTP actions to run later. Typical workflows include cancelable trial reminders, payment recovery follow-ups, delayed onboarding callbacks, and background API jobs.
TypeScript, Next.js, PostgreSQL, and Google Cloud Tasks. Stripe is used for subscription billing.
Webhook Scheduler came from repeatedly rebuilding the same delayed-job infrastructure inside SaaS projects. A simple cron and database row eventually needed cancellation, retries, backoff, delivery logs, idempotency, and SSRF protection. The repeated infrastructure became a standalone API and dashboard.
Webhook Scheduler appears to be a niche tool aimed at developers and automation-focused teams who need to trigger webhooks on a schedule; without independent reviews or extensive track record, it seems like a functional, purpose-built utility rather than a widely established platform, so it's worth trying via a free tier or trial before committing.
We have collected here some useful links to help you find out if Webhook Scheduler is good.
Check the traffic stats of Webhook Scheduler on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Webhook Scheduler on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Webhook Scheduler's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Webhook Scheduler on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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