- Changed from Salesforce CRM to HOA Ledger IQ API
- Now fetches from /api/calc-submissions and /api/leads
- Just processed 5 HOT leads (Jonathan Tester, Joe Schmoe, etc.)
- Fixed NoneType error in API response handling
- JAE now actually processing your actual leads instead of empty CRM notes
JAE Status: OPERATIONAL AND PROCESSING REAL LEADS! 🎯
- Discovered Modal requires SDK, not raw HTTP
- Token ID and Secret work with modal.Client.from_credentials()
- Raw HTTP calls don't work (need SDK)
- Updated documentation with correct usage
- Modal SDK authentication verified and working
Next: Integrate Modal SDK for scraping assistance when direct methods fail
- Added Modal API token configuration
- Token ID: ak-hF71TECrOEALA208DHoUHp
- Token Secret: as-364JrJ2yd0y3tN3cw7z6Uh
- Integration ready, testing auth format
- Will work once correct token format is determined
- Created modal_api.py module for Modal GLM API integration
- Provides fallback when direct scraping fails
- Can parse eBay listings and other marketplace data
- Configuration via modal_config.json
- Ready to use when direct scraping is blocked
API endpoint configured:
- Model: zai-org/GLM-5.1-FP8
- Endpoint: https://api.us-west-2.modal.direct/v1/chat/completions
- Usage: scrape_with_modal(url, task)
- Better link normalization and checking
- Skip items already in seen_links with logging
- Clean up state file to last 500 items
- Always mark items as seen (deal or not)
- Added logging for skipped duplicates
Also: eBay scraping temporarily blocked/changed - investigating
- Updated min_discount_percent from 50% to 80%
- Only notifying on absolute steals now
- Still finding 40+ ultra-deals (Griswold #5 for .96!)
- No more moderate deals - only the best of the best
- Config updated and scanner tested
- Integrated working eBay scanner into main loop
- Scanner found 100+ real cast iron deals
- Sending Telegram alerts for deals ≥50% off FMV
- Real items: Wagner, Griswold, Le Creuset from -
- Valuation engine working perfectly
- First deals sent to Chris's Telegram!
Status: OPERATIONAL AND HUNTING! 🔥🍳
- Created working eBay scraper using BeautifulSoup
- Successfully extracts real cast iron listings
- Found 303 items, 116 deals >= 50% off FMV
- Tested and verified working
- Integration with main scanner next
- Added Craigslist scanner framework
- Added Facebook Marketplace placeholder
- Updated main scanner to aggregate all sources
- Added STATUS.md for development tracking
- Fixed import paths for all scanners
- Ready for HTML scraping implementation
Current status:
- eBay: RSS built but unreliable, need HTML scraping
- Craigslist: Framework ready, debugging HTML parsing
- Facebook: Placeholder (needs Selenium)
- All sources tracked in unified scan loop
- Created autonomous cast iron deal scanner
- Scans eBay RSS feeds hourly for cast iron cookware
- Calculates FMV based on brand, type, size
- Sends Telegram alerts for deals ≥50% below FMV
- Identifies Griswold, Wagner, Wapak, Birmingham, Lodge, Victor
- Tracks seen items to avoid duplicate alerts
- Valuation engine with size multipliers
- Configurable preferences in config.json
Known issue: eBay RSS unreliable - next iteration will use proper scraping
- Set --no-deliver on tier1-scorer-30min cron job
- Set --no-deliver on jae-v4-every-3h cron job
- These jobs process data continuously - no need to notify every run
- Will only notify when new leads detected (handled by sales-lead monitor)
- Eliminates duplicate/unnecessary messages
- Temporarily disabled automated health check cron job
- Script had parsing issues causing repeated false alerts
- Will fix script properly before re-enabling
- Manual monitoring in place until then
- Created AGENT-MONITORING-PROTOCOL.md - formal monitoring procedures
- Added automated health check script (runs every 4 hours)
- Monitors all cron jobs for errors and consecutive failures
- Alerts Chris via Telegram when issues detected
- Documents escalation paths and standard fixes
- Establishes success metrics: zero undetected failures
This ensures system reliability through proactive detection.
- Audited all 9 cron jobs/agents
- Fixed 7 agents with Telegram delivery failures (@heartbeat → telegram:8269921691)
- Removed duplicate bash sales-lead monitor (replaced with Python version)
- Total errors before fix: 201+ consecutive errors
- All agents now configured to deliver to correct Telegram channel
- Created comprehensive audit report in AGENT-HEALTH-AUDIT.md
- Updated to check https://hoaledgeriq.com/api/leads
- Fixed JSON parsing (uses 'leads' key not 'submissions')
- Added proper handling for interest form fields
- Notifications now include first name, last name, org
- Detected 5 historical interest form leads
- Both endpoints now fully functional
- Created monitor.py to replace bash script
- Checks ROI Calculator API (interest form endpoint not found)
- Properly parses JSON responses and tracks processed leads
- Sends Telegram notifications for NEW leads only
- Fixed timeout issues from bash script
- State file now tracks both ROI and interest form leads
- 3 test leads (IDs 5, 6, 7) detected and notifications sent
- Fixed bug where scroll events showed percentage values instead of actual counts
- Now queries scroll_25, scroll_50, scroll_75 individually with EXACT match
- Properly extracts event counts from GA4 API response
- Scroll tracking now shows real engagement numbers
- Documented that ALL cron jobs must use OpenClaw native cron system
- Listed all active cron jobs with schedules
- Added CLI reference and documentation links
- Emphasized NOT using system crontab
- Added Reddit Scout back to install-all-crons.sh
- Schedule: 8 AM and 3 PM daily
- Last run: March 20 (cron was missing)
- Added README with restoration instructions
- User needs to run: bash install-all-crons.sh
- Added GA4 traffic monitoring to seo-agent.py
- Tracks sessions, users, bounce rate from GA4
- Detects traffic anomalies (>50% drop triggers alert)
- Maintains 30-day traffic history in state
- Updated daily-report.sh with enhanced GA4 metrics
- GA4 data now flows to morning brief
- Hourly checks every 6 hours to avoid API fatigue
- Created chatwoot-agent-bot/ with Node.js webhook server
- Bot detects intent (greeting, billing, technical, features, account)
- Auto-responds from FAQ knowledge base or escalates to human
- FAQ-KB.md: Living knowledge base that grows with customer questions
- CHATWOOT-SETUP.md: Complete deployment and configuration guide
- Supports Telegram notifications on escalation
- Bot runs on port 3001, ready for Chatwoot webhook integration
