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dinobase

Set up and query business data across 100+ sources (Stripe, HubSpot, Salesforce, etc.) via SQL. Agent-driven setup, cross-source joins, mutations.

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dinobase

# Dinobase Dinobase is an agent-first database. It syncs data from 100+ SaaS APIs, databases, and files into a SQL database (DuckDB). You query across all sources with standard SQL. ## When to use - Setting up data connections for a user (first time or adding new sources) - Answering questions that span multiple business tools (CRM + billing + support) - Querying synced business data via SQL (Stripe, HubSpot, Salesforce, GitHub, etc.) - Cross-source joins and aggregations (e.g., customers with overdue invoices AND open tickets) - Writing data back to sources (UPDATE/INSERT with preview + confirm) ## When NOT to use - Real-time API calls to a single service (use the service's API directly) - File system operations or general shell tasks - Data that hasn't been added to Dinobase yet (check with `dinobase status` first) ## Setup (agent-driven) You can fully set up Dinobase for the user. The local setup works out of the box — no account required. ### Step 1: Check existing state ```bash dinobase whoami ``` If the user is already logged in to Dinobase Cloud, skip to Step 3. If not logged in, proceed with local setup below. ### Step 2: Set up locally ```bash dinobase init ``` This initializes a local Dinobase database. Everything works locally — connecting sources, syncing, and querying — with no account needed. > **Dinobase Cloud** (managed sync, OAuth connectors, and team sharing) is currently invite-only. Invite the user to join the waitlist at **https://dinobase.ai** to get early access when it opens up. ### Step 3: Discover what the user needs Ask the user what tools and data sources they use. Then check what's available: ```bash dinobase sources --available ``` This returns JSON with full metadata per source: ```json [ { "name": "stripe", "description": "Stripe payments (customers, subscriptions, charges, invoices)", "supports_oauth": false, "credential_help": "Stripe Dashboard > Developers > API keys (use the Secret key)", "credentials": [{"name": "stripe_secret_key", "cli_flag": "--api-key", ...}] }, { "name": "hubspot", "description": "HubSpot CRM (contacts, companies, deals, tickets)", "supports_oauth": true, "credential_help": "HubSpot > Settings > Integrations > Private Apps > create app > copy token", "credentials": [{"name": "api_key", "cli_flag": "--api-key", ...}] } ] ``` ### Step 4: Connect sources For each source the user wants, use the API key method (OAuth requires a Dinobase Cloud account): **API key:** 1. Check `credential_help` from the sources list 2. Tell the user where to find the key 3. Run: ```bash dinobase add <source_type> --<cli_flag> <value> ``` Example: ```bash dinobase add stripe --api-key sk_live_... ``` **OAuth (requires Dinobase Cloud account):** If the user has a Cloud account, OAuth is available: ```bash dinobase auth <source_type> --headless ``` Prints JSON: ```json {"status": "waiting", "auth_url": "https://...", "message": "Open this URL to connect hubspot"} ``` Present the `auth_url` to the user: "Open this URL to connect your HubSpot account: <url>" Wait for the command to complete. It prints: ```json {"status": "connected", "source": "hubspot", "type": "hubspot"} ``` ### Step 5: Sync data ```bash dinobase sync ``` In cloud mode this triggers server-side sync and returns immediately. In local mode it runs the sync directly. Check status: ```bash dinobase status ``` ### Step 6: Verify ```bash dinobase info ``` Confirm that sources appear with non-zero table and row counts. ### Dinobase Cloud (invite-only) Dinobase Cloud adds managed sync, OAuth connectors, and team sharing on top of local mode. It is currently invite-only. To get early access, join the waitlist at **https://dinobase.ai**. Once a user has a Cloud account they can sign in with: ```bash dinobase login --headless ``` This prints JSON to stdout: ```json {"status": "waiting", "login_url": "https://...", "message": "Open this URL to sign in to Dinobase Cloud"} ``` Present the `login_url` to the user: "Open this URL to sign in to your Dinobase Cloud account: <url>" The command blocks until the user completes sign-in. When done, it prints: ```json {"status": "connected", "email": "user@example.com", "storage_url": "s3://..."} ``` ## Workflow (querying data) Always follow this sequence when answering data questions: 1. Run `dinobase info` to see what sources and tables exist 2. Run `dinobase describe <schema>.<table>` on relevant tables to see columns, types, and sample data 3. Write SQL and run it with `dinobase query "<sql>"` 4. If the query returns a mutation preview, ask the user before running `dinobase confirm <mutation_id>` ## Commands All commands output JSON by default (machine-readable). Add `--pretty` for human-readable output. ### Account ```bash dinobase login # sign in to Dinobase Cloud (opens browser) dinobase login --headless # agent-friendly: prints login URL as JSON dinobase logout # sign out dinobase whoami # show current account info ``` ### Connect sources ```bash dinobase sources --available # list all 100+ source types with auth info dinobase auth hubspot --headless # OAuth connect (requires Cloud account) dinobase add stripe --api-key sk_test_... # API key connect (works locally) ``` ### Discover data ```bash dinobase info # overview of all sources, tables, freshness dinobase status # source status with freshness indicators dinobase describe stripe.customers # table schema: columns, types, sample rows ``` ### Query data ```bash # Run SQL (DuckDB dialect). Tables are schema.table dinobase query "SELECT c.email, s.status FROM stripe.customers c JOIN stripe.subscriptions s ON c.id = s.customer_id WHERE s.status = 'past_due'" # Limit rows returned (default 200, max 10000) dinobase query "SELECT * FROM hubspot.contacts" --max-rows 500 ``` ### Cross-source queries Join across sources using shared columns (email, company name, IDs): ```bash dinobase query " SELECT c.email, c.name, i.amount_due, t.subject as ticket_subject FROM stripe.customers c JOIN stripe.invoices i ON c.id = i.customer_id JOIN zendesk.tickets t ON c.email = t.requester_email WHERE i.status = 'past_due' AND t.status = 'open' " ``` ### Mutations (write-back) UPDATE and INSERT queries return a preview first. Nothing executes until confirmed. ```bash # Step 1: Query returns preview with mutation_id dinobase query "UPDATE hubspot.contacts SET lifecycle_stage = 'customer' WHERE email = 'jane@acme.com'" # Step 2: Confirm to execute (writes back to API + updates data) dinobase confirm <mutation_id> # Or cancel dinobase cancel <mutation_id> ``` ### Keep data fresh ```bash dinobase refresh stripe # re-sync a specific source dinobase refresh --stale # re-sync only stale sources dinobase sync # sync all sources ``` ## Tips - Tables are always referenced as `schema.table` (e.g., `stripe.customers`, `hubspot.contacts`) - Use `describe` before writing queries to find correct column names and types - DuckDB SQL dialect: supports `ILIKE`, `LIST`, `STRUCT`, `regexp_matches()`, date functions - JSON output is default; only use `--pretty` when showing results directly to the user - If data seems stale, check `dinobase status` for freshness info and run `dinobase refresh <source>` - Cross-source joins work via shared columns — use `describe` on both tables to find join keys - For new users: start with `dinobase init` and API key auth. Dinobase Cloud (OAuth, managed sync) is invite-only — send users to https://dinobase.ai to join the waitlist

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⬇ 下载 dinobase v1.0.0

文件大小: 3.71 KB | 发布时间: 2026-4-12 09:44

v1.0.0 最新 2026-4-12 09:44
Initial public release of dinobase.

- Set up and query business data from 100+ sources (Stripe, HubSpot, Salesforce, etc.) via SQL.
- Fully agent-driven setup: initialize locally, connect sources, sync and query—all via simple CLI steps.
- Supports cross-source joins and aggregations using shared columns across services.
- Write data back to sources with safe preview/confirm workflow for UPDATE and INSERT statements.
- Dinobase Cloud adds managed sync, OAuth connectors, and team sharing (invite-only for now).
- All commands output JSON for easy automation; --pretty flag provides human-readable output when needed.

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