Pricing

Pay per usage

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Healthcheck

Try for free

Pricing

Pay per usage

Rating

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Developer

AutomateLab

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Fleet Health & Revenue Protection Actor

Monitor our portfolio of 24 professional Apify actors to protect revenue targets and ensure 100% Store publishing compliance.

Purpose

The central nervous system of the red.cars fleet, providing:

Revenue Protection: 0-result detection across all 24 actors.
Store Compliance: 5-minute runtime and non-empty dataset validation.
✨ LLM-Ready Markdown Reports: Export health summaries in token-efficient Markdown for AI-powered fleet management.
🛡️ Residential Proxy Testing: Validate that residential proxy rotation is functioning across the fleet.
Platform-First Debugging: Direct links to failing runs and platform logs.

Usage

Daily Revenue Protection

$npx apify-cli call red.cars/healthcheck --input '{"monitoringType": "daily"}'

Sprint 2 Reality Check

$npx apify-cli call red.cars/healthcheck --input '{"monitoringType": "full_audit"}'

Features

Phase 1: Core Health Checks (STABLE)

✅ Run status validation (SUCCEEDED requirement)
✅ Dataset result counting (0-result = immediate alert)
✅ Platform deployment testing workflow
✅ Context7 research recommendations

Phase 2: Store Compliance (STABLE)

✅ 5-minute runtime validation
✅ Maintenance mode risk alerts (Apify JavaScript client)
✅ Log error detection (ReferenceError/TypeError)
✅ Metadata accuracy audit (README vs Schema)

Phase 3: AI-Ready Operations (ACTIVE SPRINT)

✅ LLM-Ready Markdown reporting
⏳ Automated fix-deploy-verify loop
⏳ Dynamic pricing optimization metrics

Technical Constraints

Memory: ≤2GB (datacenter proxies preferred)
Runtime: Complete 24-actor scan <5 minutes
Platform-First: All fixes must be deployed and tested on Apify platform
Revenue-First: 0 results = immediate alert priority

Output Schema

Summary

{
  "summary": {
    "totalActors": 24,
    "healthyActors": 24,
    "criticalActors": 0,
    "atRiskRevenue": "$0.00"
  }
}

Development Workflow

Identify Issue → Healthcheck actor flags problem
Research → Use Context7 for tech stack debugging
Fix → Implement solution
Deploy → Push to Apify platform (required)
Test → Use apify-cli to validate deployed actor
Verify → Check customer-facing results

Business Impact

Current: 100% success rate, all revenue protected
Goal: Maintain 99.9% uptime and 100% Store compliance

Status: Sprint 2 (Fleet Rollout) COMPLETE Next: Phase 3 implementation and AI-powered fleet management.

Free User Limits

This actor runs on Apify's free plan with the following compute and data limits:

Compute: 30 minutes of actor compute time per month
Data: 100 MB of storage and dataset output

Upgrade to a paid Apify plan for unlimited usage and higher performance.

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