Nightshift Watchdog vs ID side

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Nightshift Watchdog compared with ID side
Detail	Nightshift Watchdog	ID side
What it does	Dead-man's switch for AI agents and automations	The control layer for AI
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Freemium	Freemium
Pricing	Free: 3 monitors, email alerts. Pro: $12/month with 25 monitors, Slack, Discord, Telegram alerts, and spend limits. Team: $39/month with 100 monitors, up to 10 people, same alerts and spend limits.	Free plan: €0/month with 10,000 proofs included per month. Starter: €59/month with 50,000 proofs, then €0.0015 per proof above. Growth: €249/month with 500,000 proofs, then €0.0005 per proof, then €0.0002 after 2,000,000 proofs. Enterprise: from €990/month or €15,000/year licence with 5,000,000 proo
Key features	Monitors AI agents, n8n flows, Make scenarios, Zapier zaps, Claude Code hooks, GitHub Actions, and Vercel crons Email alerts for silence and recovery on all plans Slack, Discord, and Telegram alerts on Pro and Team plans Runaway loop detection with spend limits 14-day ping history and charts Checks for missed pings every minute Grace period configuration Explicit failure pinging Encrypted webhook URLs and bot tokens Workspace collaboration on Team plan	Wraps AI provider clients with policy enforcement before calls execute Enforces provider-level privacy parameters like store=false for OpenAI Generates signed, non-reusable ACT tokens for each request Maintains append-only, hash-chained ledger for audit verification Embedded preference widget with cross-app persistence Global Privacy Control signal detection and enforcement Fails closed when unreachable; no fallback mode Python and Node.js SDKs with source-available licence Policies defined in dashboard, not in code
What makes it different	Hosted service with no installation or scheduler setup required Alerts within about a minute of job failure Detects silent failures that don't throw errors Spending caps and baseline anomaly detection Built specifically for unattended overnight jobs and AI automations	Cryptographic proof of compliance: signed, verifiable tokens and append-only ledger that auditors can verify without vendor involvement Policies live in dashboard, never touch code, preventing unauthorized modifications Separates user preference control from developer code, ensuring developer cannot alter consent
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	0
Referring domains (Majestic)	0	0

5 details filled in for both companies.

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