Solana Ecosystem Dashboard

Automated, zero-API-key Solana ecosystem monitor. Produces an interactive dark-theme dashboard, Markdown report, and JSON snapshot — refreshing hourly.

Built for: Superteam Canada bounty — "Develop Solana Ecosystem Auto-Updating Report & Interactive Dashboard" (1,000 USDG)

For validators & builders: free hourly alert digests (Telegram/email/ webhook) and a paid data API (/v1/snapshot free tier · pro $49/mo · enterprise $499/mo). Featured validator/project slots from $150/mo. Details: api/DOCS.md, alerts/tiers.md, sponsors.json.

Quick start

python autoupdate.py            # one refresh cycle (collect + detect + generate)
python autoupdate.py --loop     # built-in hourly auto-update loop
python autoupdate.py --loop 900 # custom interval (seconds)

Outputs after each cycle:

File	Format	Purpose
index.html	Interactive dark-theme HTML	Human dashboard (live on GitHub Pages)
report.md	Markdown	Human-readable summary
data.json	JSON	Machine-readable snapshot
data-history.jsonl	JSONL	Historical snapshots for anomaly baseline

Live deployment

• Dashboard: https://fliptrigga13.github.io/solana-ecosystem-dashboard/
• Auto-update: the pipeline rebuilds everything on a configurable schedule (.github/workflows/update.yml runs hourly in CI; a local Task Scheduler job runs the same pipeline hourly today — see note below) and commits fresh outputs to main, so the commit history is public proof of continuous automated updates.

Status note (2026-08-25): GitHub Actions runs are temporarily blocked by a repository-owner billing lock; until it clears, an identical local pipeline produces the same timestamped "data refresh" commits hourly.

• Data sources are free/public; no API keys anywhere.

Metrics covered

Network: avg/peak TPS (5h window), slot, block height, epoch progress, active validators, delinquent validators, total stake, top-10 validators by stake with commission rates, Nakamoto coefficient, top-10/top-20 stake share, native staking APY estimate.

Validator economics (Stakewiz): stake-weighted avg APY, commission, uptime, and client share — Jito-Solana vs Agave vs Firedancer.

MEV: Jito MEV tips revenue 24h + live tip-floor market (median landed tip).

Market structure: per-venue DEX volume (PumpSwap, Orca, Raydium, …), per-issuer stablecoin supply (USDC, USDT, USDGO, USD1, …).

Governance: latest SIMD proposals + Agave/Firedancer releases via GitHub.

Economic & DeFi: SOL price + 24h change, market cap, DeFi TVL, stablecoin supply, 24h DEX volume, 24h fees, 24h REV, derived avg fee per transaction.

Ecosystem: per-chain tokenized assets (RWA incl. xStocks equities), ecosystem & community news feed (Solana Forums + Decrypt RSS), and an upcoming-upgrades panel (Alpenglow, SIMD-0525).

Anomaly detection: rolling-baseline checks with severity levels — TPS ±30%, delinquent surge >100%, SOL price ±10%, TVL ±15%, stablecoins ±5%, DEX volume ±50%, fees/REV ±60%, RWA TVL ±10%, Nakamoto ±10%, validator APY ±15%, MEV tips ±50%. Missing core metrics fail the run loudly instead of publishing nulls.

Data sources (all free, no API keys)

• Solana public RPC: getEpochInfo, getRecentPerformanceSamples, getVoteAccounts, getTokenSupply, getInflationRate
• DeFiLlama public API: DeFi TVL
• DeFiLlama stablecoins API: stablecoin circulating supply on Solana + per-issuer breakdown
• DeFiLlama overviews: DEX volume, protocol fees/REV, per-chain RWA TVLs, per-venue DEX volume, Jito MEV tips revenue
• RWA fallbacks (when DeFiLlama's per-chain RWA series is empty): on-chain token supply x NAV (BUIDL), Ondo issuer API, vault balances (Hastra), Jupiter token supply x underlying share price (xStocks, Ondo Global Markets), Yahoo Finance underlying closes for price gaps. Per-asset source recorded in each snapshot (rwa.rwa_sources).
• CoinGecko public API: SOL price / market cap
• Stakewiz public API: validator APY, commission, version, client identity (Jito)
• Jito bundles API: live tip-floor percentiles
• GitHub REST API (unauthenticated): SIMD proposals, Agave/Firedancer releases
• News RSS: forum.solana.com/latest.rss + decrypt.co/feed (Solana-filtered)

Architecture

collector.py      fetch network + economic data from free public sources
anomaly.py        compare against rolling history; flag deviations
generate_report.py    produce report.md
generate_dashboard.py produce dashboard.html (Chart.js dark theme)
autoupdate.py     orchestrator: collect -> detect -> generate (loop or once)

Zero third-party dependencies. Python 3.10+ standard library only. Same proven pattern as Bounty Radar.

Scheduling

Built-in loop:

python autoupdate.py --loop 3600   # hourly

Or via OS scheduler:

• Linux cron: 0 * * * * cd /path/to/solana-dashboard && python3 autoupdate.py
• Windows Task Scheduler: action python.exe, argument autoupdate.py, start-in directory = project folder

License

MIT