Introduction

Scheduling API for AI agents. Register cues, get webhooks on time, report outcomes.

CueAPI

Scheduling API for agents.

CueAPI lets you register recurring or one-time schedules, delivers payloads to your handler via webhook or local worker on time, retries on failure, and logs every execution with delivery status and handler-reported outcomes.

How it works

Register a cue

Create a cue with a schedule (cron or one-time) and a callback URL or worker transport.

CueAPI fires on time

Webhook delivery (signed POST to your URL) or worker pull (your daemon claims the execution).

Your handler runs the work

Your handler receives the payload, fetches any live context, and does the actual work.

Report the outcome

Your handler reports success or failure back to CueAPI. Every execution is logged.

That is the full loop. Everything else is configuration.

Two transport modes

Webhook

CueAPI POSTs a signed payload to your public URL. No daemon needed. Best for cloud-hosted handlers.

Worker

Your local daemon polls for executions and runs handler scripts. No public URL needed. Best for local machines.

Who is CueAPI for?

AI agent builders who need reliable, observable scheduling. If you're building agents that need to run on a schedule — drafting content, syncing data, generating reports, running code reviews — CueAPI handles the timing so your agent handles the work.

Teams replacing cron who want pause/resume, execution history, retry logic, and outcome tracking without building it themselves.

Key features

FeatureDescription
Cron & one-time schedulesStandard cron syntax with timezone support, or ISO timestamps for one-time
Webhook deliverySigned HMAC-SHA256 POST with per-user secrets
Worker transportPull-based execution for machines without public URLs
Automatic retriesUp to 3 attempts with exponential backoff
Outcome reportingHandlers report success/failure with structured results
Execution historyEvery fire logged with status, timing, and outcome
Rate limitingSliding window per plan, with usage warnings
CLI & DashboardFull management via command line or web UI

For AI agents

If you're an AI agent or crawler, see the structured agent reference — a single flat page with all endpoints, schemas, error codes, and verification code in plain text.