AI data analyst that monitors your estate, synthesises what it finds, and acts on it.
Data teams produce findings nobody reads. Execs don't open Looker. The data engineer's Slack message about a stale payments table gets buried. The insight exists — it just doesn't land.
DataBard closes that gap: it reads your data catalogue, computes health scores, narrates trend stories via two AI hosts, and writes the findings back into the graph.
▶ Try the live demo — no signup required
Built for the DataHub Agent Hackathon — reads DataHub's context graph, synthesises the estate, and writes back governance docs + ownership tags. "DataHub gives the agent context; DataBard makes the agent act."
git clone https://github.com/thisyearnofear/databard.git
cd databard
npm install
cp .env.example .env
# Required: ELEVENLABS_API_KEY (Starter plan or higher)# Optional: OPENAI_API_KEY for LLM scripts (falls back to templates)
npm run devOpen localhost:3000 → default workspace is Protocols (switch to Teams anytime) → Try the demo (lands on this week's league) or connect a source → Dashboard / briefing → Share a score card.
Connect DataHub: pick 🧭 DataHub in the wizard (Teams), paste a GMS URL, connect. Run the fleet town hall at /fleet. Every capability is also agent-callable via the MCP tools (GET /api/mcp/tools).
Public league:/league — weekly ranked protocol data-health accounting (OG card + copy tweet/email). When a live scan isn't available, numbers match the seeded demo roster — don't pitch them as a live indexer audit.
See .env.example for the full list of optional env vars (Stripe, SMTP, Plausible, Solana, etc.).
Data source (DataHub, OpenMetadata, dbt, The Graph, Dune)
→ Schema analysis: health score · critical tables · lineage blast radius
→ Script generation: two-host narrative (Alex + Morgan via ElevenLabs)
→ Dashboard: health score · trend narrative · recommended actions
→ Audio briefing: 2-min executive or 15-min full analysis
→ Write-back (DataHub): governance docs · ownership tags · health/defect tags
→ Optional: Monday email from the finding · schedule weekly (Pro) · alert on drops · attest on-chain (Solana) · share a score card (21-day link)
| Source | Adapter | Status |
|---|---|---|
| DataHub | src/lib/datahub-adapter.ts | ✅ Shipped |
| OpenMetadata | src/lib/openmetadata.ts | ✅ Shipped |
| dbt Cloud + local manifest | src/lib/dbt-adapter.ts | ✅ Shipped |
| The Graph | src/lib/the-graph-adapter.ts | ✅ Shipped |
| Dune Analytics | src/lib/dune-adapter.ts | ✅ Shipped |
| Coral (50+ sources via SQL) | src/lib/coral-adapter.ts | ✅ Shipped (escape hatch for long-tail sources) |
See docs/DATA_SOURCES_ARCHITECTURE.md for the tiered adapter design and graduation tracking.
| Layer | Technology |
|---|---|
| Web UI | Next.js 16, React 19, Tailwind CSS 4 |
| AI scripts | OpenAI-compatible API (GPT-4o-mini default; Azure drop-in via docs/AZURE.md) |
| Audio | ElevenLabs TTS (two voices) + Sound Effects API |
| Episode storage | Lens Protocol Grove (IPFS, immutable) via src/lib/grove-storage.ts |
| Caching | File-backed with TTL — no external dependencies |
| Payments | Stripe Checkout (Pro subscription) · x402 EIP-3009 USDT0 on X Layer (MCP pay-per-call) |
| Onchain | Solana Memo Program + PDA registry (Protocols workspace) |
| Analytics | Plausible (pageviews) + self-hosted event ledger (src/lib/events.ts) |
DataBard is registered as an Agent Service Provider (ASP) on OKX.AI (ASP #9878, pending final review). The synthesis engine is exposed as two A2MCP tools any MCP-compatible agent can call:
| Tool | Price | Endpoint |
|---|---|---|
databard_health_check | Free | POST /api/mcp/health-check |
databard_briefing | 1 USDT / call (x402) | POST /api/mcp/briefing |
databard_write_back | Free | POST /api/mcp/writeback |
| Service discovery | — | GET /api/mcp/tools |
# Free health check
curl -X POST https://databard.persidian.com/api/mcp/health-check \
-H 'content-type: application/json' \
-d '{"source":"datahub","schemaFqn":"db.sales","datahub":{"serverUrl":"http://localhost:8080"}}'# Paid briefing — returns 402 + PAYMENT-REQUIRED; agents settle via x402
curl -i -X POST https://databard.persidian.com/api/mcp/briefing \
-H 'content-type: application/json' \
-d '{"source":"openmetadata","schemaFqn":"db.sales","openmetadata":{"url":"...","token":"..."}}'DataBard reads DataHub's full context graph (datasets, lineage, ownership, tags, assertions, freshness) and writes back:
- Governance-grade auto-documentation on dataset descriptions
DataBard_Health_*tags (health band, ownerless, stale, undocumented)- Suggested ownership on ownerless tables
See docs/DATAHUB_HACKATHON.md for the full submission packet and demo script.
$49/month per team via Stripe:
- Scheduled weekly digests (email via SMTP or webhook)
- Multiple schemas
- Custom alert thresholds
- On-chain attestation (Solana mainnet, Protocols workspace)
- Team email recipients
Free: demo, ad-hoc briefings, shared score cards, /league, leaderboard, health badge, verify. Monday email capture on the finding starts the habit before Pro.
| Doc | What it covers |
|---|---|
docs/STRATEGY.md | North star, competitive positioning, product principles, why now |
docs/PLAN.md | Full development roadmap (Phases 1–9) |
docs/GTM.md | Viral hooks, engagement loops, user interview plan, outreach target list |
docs/OPERATIONS.md | Prod env, deploy, schedule cron, shared-PM2 stay-alive |
docs/UNIT_ECONOMICS.md | Cost-per-briefing, pricing, margin analysis |
docs/DATA_SOURCES_ARCHITECTURE.md | Tiered adapter design, Coral graduation tracking |
docs/DATAHUB_HACKATHON.md | DataHub hackathon submission packet, demo script, judging-criteria map |
docs/AZURE.md | Azure OpenAI + Container Apps migration guide |
npm run dev # dev server on localhost:3000
DATABARD_DATA_DIR=/tmp/databard npm run build # production build + bundle guard (<120MB)
./scripts/deploy.sh # local build → snel-bot (no npm on the box)
npx tsc --noEmit # type check
npm run test:unit # unit tests
npm run test:e2e # Playwright E2E (chromium + Mobile Safari)Apache License 2.0 — © 2026 DataBard Contributors.