Before launch we went through every bot and read the source. Not just checked that files existed — actually read the code. Here's what we found.
March 18, 2026
40
Bots audited
54k
Lines of code
1,762
Functions verified
30/40
Stdlib-only bots
Read the main file
Every bot has a single entry point. We opened it and read the actual implementation — not just confirmed it existed. Looked for real logic, not skeletons.
Checked the dependencies
Compared requirements.txt against what the code actually imports. Flagged anything that was listed but unused, or used but undocumented.
Verified the env vars
Confirmed every env var the bot references is documented somewhere — README, .env.example, or bot.yaml. No surprise missing config at runtime.
1,358 lines on average · 40 bots · all passed
Multi-endpoint HTTP health checking, SLA tracking, circuit breakers, z-score anomaly detection, Prometheus export, HTML dashboards
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS, REQUEST_TIMEOUT
Incremental SHA-256 backups, gzip/zip/tar compression, encryption, retention policies, integrity verification
Env: LOG_LEVEL, DB_PATH, BACKUP_PATH, CLEANUP_INTERVAL_SECONDS
AST-based Python analysis, SQL injection/XSS/secret detection, cyclomatic complexity, A-D grading, optional AI review
Env: LOG_LEVEL, CODE_REVIEWER_DB, OPENAI_API_KEY (optional)
Full cron expression parsing, job dependency chains, exponential backoff retry, concurrent execution, output capture
Env: LOG_LEVEL, CRON_MANAGER_DB, CRON_CONFIG_FILE
12 technical indicators (RSI, MACD, Bollinger Bands), whale alert monitoring, Fear & Greed Index, portfolio tracking, backtesting
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS
Duplicate removal, missing value strategies, outlier detection, regex transforms, fuzzy deduplication, anonymization, SQL export
Env: LOG_LEVEL, MAX_FILE_SIZE_MB
YAML-defined ETL workflows, 20+ transforms, REST/CSV/JSON/SQLite extraction, data lineage tracking, incremental extraction
Env: LOG_LEVEL, DB_PATH, TEMP_DIR
PostgreSQL/MySQL/SQLite monitoring, slow query detection, schema diffing, index analysis, dead tuple monitoring, storage forecasting
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS
Slash commands, XP/leveling, auto-moderation (spam, raids, links, caps), welcome messages, reaction roles, server analytics
Env: DISCORD_TOKEN, LOG_LEVEL, DB_PATH
Ranked choice voting, approval voting, anonymous polls (hash-based), weighted voting by role, poll tournaments, matplotlib charts
Env: DISCORD_TOKEN, LOG_LEVEL, DB_PATH
A/AAAA/MX/NS/TXT/CNAME/SOA monitoring, domain expiry tracking, DNSSEC validation, zone transfer detection, multi-resolver timing
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS
Remove stopped containers, dangling images, unused volumes/networks, dry-run mode, age-based cleanup, log rotation, multi-host
Env: LOG_LEVEL, DB_PATH, CLEANUP_INTERVAL_SECONDS
RAG with ChromaDB vector store, hybrid BM25+semantic search, PDF/DOCX/Markdown ingestion, citation tracking, conversation memory
Env: OPENAI_API_KEY, CHROMA_DB_PATH, LOG_LEVEL
Bulk personalised emails with Jinja2 templates, A/B subject testing, drip campaigns, bounce detection, DKIM/SPF validation
Env: SMTP_HOST, SMTP_PORT, SMTP_USER, SMTP_PASS, LOG_LEVEL
Category-based auto-sorting, regex naming rules, SHA-256 duplicate detection, undo logs, rules engine with AND/OR logic, watchdog
Env: LOG_LEVEL, DB_PATH, WATCH_DIRS
Real-time FX monitoring, SMA/EMA/RSI/MACD/Bollinger Bands, candlestick pattern detection, moving average crossover signals
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS
15+ transforms, smart resize modes, WebP/AVIF/TIFF conversion, EXIF management, YAML pipelines, sprite sheets, perceptual hashing
Env: LOG_LEVEL, DB_PATH, TEMP_DIR
PDF/image parsing with regex and LLM fallback, multi-currency normalisation, vendor management, duplicate detection, tax validation
Env: LOG_LEVEL, DB_PATH, OPENAI_API_KEY (optional)
Business directory scraping, email pattern discovery, WHOIS enrichment, social profile discovery, proxy rotation, deduplication
Env: LOG_LEVEL, DB_PATH, REQUEST_TIMEOUT
Apache/Nginx/syslog/JSON parsing, z-score anomaly detection, baseline learning, linear regression trends, security audit, FTS
Env: LOG_LEVEL, DB_PATH, MAX_LOG_SIZE_MB
Structured summaries from transcripts, action item tracking with owners/dates, iCal export, Confluence output, meeting diff comparison
Env: LOG_LEVEL, DB_PATH, OPENAI_API_KEY
Unified API for email/Slack/Discord/SMS/webhooks, message templating, digest mode, quiet hours/DND, priority levels, delivery tracking
Env: LOG_LEVEL, DB_PATH, SMTP_HOST, SLACK_WEBHOOK, DISCORD_WEBHOOK
Entropy scoring, k-anonymity HaveIBeenPwned API, policy enforcement, bulk auditing, hash identification, keyboard walk detection
Env: LOG_LEVEL, DB_PATH, MIN_PASSWORD_LENGTH, MAX_PASSWORD_LENGTH
Merge, split, watermark, compress, encrypt PDFs — pure Python, no external PDF library required. Metadata editing, page numbering
Env: LOG_LEVEL, DB_PATH
CSS/XPath selector tracking, SMA/EMA trend analysis, cross-site comparison, budget alerts, volatility scoring, multi-currency
Env: LOG_LEVEL, DB_PATH, REQUEST_TIMEOUT
50+ secret detection patterns, CVE scanning via OSV.dev, SBOM generation (CycloneDX), git history scanning, SARIF output, entropy-based detection
Env: LOG_LEVEL, DB_PATH, REPO_PATH, OPENAI_API_KEY (optional)
AI-powered analysis via OpenAI, executive summaries, bar/line/pie/heatmap charts, KPI dashboards, scheduled generation, email delivery
Env: LOG_LEVEL, DB_PATH, OPENAI_API_KEY
RSS 2.0 + Atom parsing, FTS5 full-text search, OPML import/export, content summarisation, auto-tagging, readability scoring
Env: LOG_LEVEL, DB_PATH, DIGEST_INTERVAL
VADER + TextBlob + HuggingFace backends, aspect-based sentiment, 6-emotion detection, REST API server mode, multi-language support
Env: LOG_LEVEL, DB_PATH, OPENAI_API_KEY (optional), REST_PORT
Full-site crawl, meta/canonical/robots audit, broken link detection, sitemap validation, Open Graph/JSON-LD, weighted score 0-100
Env: LOG_LEVEL, DB_PATH, REQUEST_TIMEOUT
HMAC signing verification, slash commands, spam moderation, auto-responses, channel analytics, XP/leveling, scheduled messages
Env: LOG_LEVEL, DB_PATH, SLACK_WEBHOOK_URL, SIGNING_SECRET
Multi-platform posting (Twitter/X, Discord, Slack), recurrence scheduling, A/B testing, approval workflow, bulk CSV/JSON import
Env: LOG_LEVEL, SCHEDULER_DB, SCHEDULER_INTERVAL, TWITTER_API_KEY (optional)
Certificate expiry monitoring, TLS version audit, cipher suite strength analysis, CT log checking, HSTS verification, A-F grading
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS, WARNING_DAYS
Screen by P/E, dividend yield, volume, RSI/MACD, breakout patterns, support/resistance, volume anomaly detection, sector filtering
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS
Inline keyboards, group moderation, XP/leveling, anti-spam flood control, broadcast messaging, long-polling and webhook modes
Env: LOG_LEVEL, TELEGRAM_BOT_TOKEN, DB_PATH, WEBHOOK_URL (optional)
TF-IDF extractive summarisation, TextRank-style scoring, OpenAI/Anthropic abstractive, multi-document, key phrase extraction
Env: LOG_LEVEL, TEXT_SUMMARIZER_DB, OPENAI_API_KEY (optional)
AI priority/category/sentiment classification, IMAP email integration, Zendesk/Freshdesk API, SLA breach prediction, workload balancing
Env: LOG_LEVEL, DB_PATH, OPENAI_API_KEY, IMAP_HOST (optional)
HTTP/TCP/DNS/SSL monitoring, SVG uptime badges, status page JSON API, maintenance windows, incident tracking with post-mortems
Env: LOG_LEVEL, DB_PATH, CHECK_INTERVAL_SECONDS
Route webhooks to multiple destinations, JSONPath transforms, HMAC-SHA256 signature verification, dead letter queue, replay capability
Env: LOG_LEVEL, WEBHOOK_RELAY_DB, RELAY_PORT, API_KEY
CSS selector extraction, robots.txt compliance, per-domain rate limiting, change detection with diff tracking, data quality scoring
Env: LOG_LEVEL, DB_PATH, REQUEST_TIMEOUT
Three files every bot imports from. Also checked.
bot_utils.pyRetry decorator with exponential backoff, setup_logging, print_banner, Metrics class
566 lines
license_validator.pyPyVendr license validation and machine fingerprinting, called at startup
208 lines
hosted_entrypoint.pyHealth check HTTP endpoints for cloud-hosted mode deployment
188 lines
All 40 bots have real implementations. 54,309 lines total, 1,762 functions. If what you receive materially does not match what's described here, contact support within 30 days and we'll work quickly to resolve it or review the purchase for an appropriate refund.