product-guide
Guide to Allium's four core products: Explorer, Realtime APIs, Datastreams, and Datashares.
Skill by allium-labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/allium-labs-product-guide
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/product-guide
What's inside
- Skill name
product-guide- Description
- Guide to Allium's four core products: Explorer, Realtime APIs, Datastreams, and Datashares. Explains what each product does, who it's for, and how to choose the right one for a customer's use case. Read this skill when a customer asks about Allium's products, wants to understand the difference between them, needs help choosing a product, or asks questions like "which product should I use?" or "what does Allium offer?" It also carries the canonical, dated list of supported blockchains — read it for any "what chains / how many chains does Allium support?" question and cite that list instead of answering from memory.
- License
- MIT
- Instructions
- 274 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- supported-chains.md · references/
SKILL.md (first lines)
# Allium Product Guide Allium offers four core products for accessing blockchain data. Each serves a different access pattern, latency requirement, and integration style. Explorer, Datashares, and Datastreams share one historical data platform; the Realtime APIs serve a smaller, separate set of chains. > **Answering "what chains does Allium support?" (grounding rule)** > > Chain names and counts must come from the canonical list, never from memory — > generating them from memory produces unstable totals and invented chains. > > 1. Fetch the **Allium Supported Chains — Canonical List** reference file (see > "Reference files" below) and quote it. For an up-to-the-minute Realtime > figure, call the `get_realtime_supported_chains` tool. > 2. Always say **which product** a count refers to — the historical data > platform (Explorer / Datashares / Datastreams) and the Realtime APIs have > different totals. > 3. The headline total must equal the number of rows for that product in the > canonical list. Do not round to a vague "80+/130+/150+" — cite the exact > count and state the list's snapshot date in the answer, so a reader can see > how current it is (e.g. "**[N]** chains on the historical data platform, as > of **[snapshot date]**"). Pull both **[N]** and the date from the fetched > reference file — never from this instruction or from memory. > 4. If a chain is not in the canonical list, say it is not currently supported > rather than guessing. ## Product Overview | Product | Access Pattern | Latency | Pricing Model | Best For | | ----------------- | ----------------------------------- | -------------------------------------- | -------------------------- | --------------------------------------------------- | | **Explorer** | SQL queries via web UI or API | ~1 hour freshness, ~4-5s query time | Query compute time | Ad-hoc analysis, dashboards, research | | **Realtime APIs** | REST API (pull) | 50-100ms response, 3-5s data freshness | API call volume | Application backends, wallets, trading UIs | | **Datastreams** | Push via Kafka/PubSub/SNS/WebSocket | 3-5s data freshness | Data destinations & egress | Event-driven architectures, real-time pipelines | | **Datashares** | Native tables in your warehouse | 1-3 hours batch, sub-minute streaming | Number of chains & schemas | Institutional analytics, joining with internal data | ## Explorer **What it is:** A SQL-based analytics workspace at `app.allium.so/explorer` that lets users query, visualize, and share blockchain data across every chain on the historical data platform (see the canonical chain list for the exact count). Powered by Snowflake (OLAP). **Key capabilities:** - Full SQL interface with cross-chain queries (e.g., `crosschain.dex.trades`) - 1,000+ enriched schemas: raw, decoded, DEX, DeFi, NFTs, stablecoins, wallet 360, metrics, bridges, prices, PnL - Interactive chart builder with public sharing and embed links - CSV and API data upload — join your own data with on-chain data - Parameterized queries for reusable, dynamic SQL - AI Assistant for natural-language-to-SQL - Explorer API — programmatic query lifecycle (create, run, fetch results, cancel) - Curated metrics dashboards for stablecoins, DEXs, bridges, etc. **Target users:** - Analytics teams at crypto companies (foundations, protocols, wallets) - Data analysts and researchers - Audit, accounting, and compliance teams (Big 4 firms) - Growth and marketing teams tracking ecosystem metrics **Common use cases:** - User behavior analytics and wallet activity patterns - Ecosystem metrics and competitive intelligence - Sybil detection for airdrop eligibility (used by Jito, Wormhole) - Account reconciliation and auditing (used by Big 4 firms) - DEX adoption dashboards (Uniswap Foundation) - Financial monitoring and tax reporting (TaxBit) **When to recommend Explorer:** - Customer wants to explore data interactively with SQL - Ad-hoc analysis, research, or one-off investigations - Building shareable dashboards and visualizations - Uploading proprietary data to join with on-chain data - Needs the broadest chain coverage (the full historical data platform; see the canonical chain list) and deepest schema library (1,000+) - Hourly data freshness is acceptable ## Realtime APIs **What it is:** Production-grade REST APIs delivering real-time, enriched blockchain data with 50-100ms response times and 3-5 second data freshness. Realtime covers fewer chains than the historical data platform — quote the canonical chain list (or the live `get_realtime_supported_chains` tool) for the exact set and count. **Key capabilities:** - **Prices** — real-time and historical token prices from on-chain DEX trades (not centralized exchanges). OHLC candles, VWAP, z-score outlier filtering. New tokens priced within seconds of first DEX trade (including pump.fun launches) - **Tokens** — metadata, type, price, decimals, FDV, volume, trade count, holders, ATH/ATL, liquidity, creation time. Sortable and searchable - **Wallets** — current balances (native + ERC-20/SPL), historical balances at any point in time, full transaction history with activity labels (swaps, transfers, DEX trades) - **Holdings** — real-time and historical USD portfolio holdings with built-in PnL using average cost basis. Multi-granularity (15s/5m/1h/1d) - **Assets** — batch-fetch asset details by chain + address - **Hyperliquid** — dedicated endpoints for the Hyperliquid protocol - Custom endpoints backed by your own SQL queries **Performance:** - 50-100ms response time - 1-1.2s raw block freshness, 3-5s enriched data freshness - Tested to 90,000 RPS (Phantom/Jupiter airdrop: 477M requests in 4 hours) - 99.9% uptime SLA **Authentication:** API key via `X-API-KEY` header. Generate at Settings > API Keys. **Target users:** - Application developers building crypto products - Wallet teams (Phantom, MetaMask) - DEX/trading platforms (Uniswap, Fomo) - Payment providers (MoonPay, Bridge.xyz) - Fraud detection systems (Cube3.ai, Blowfish) - AI agent builders **When to recommend Realtime APIs:** - Customer is building an application that needs to pull data on demand
From allium-labs/allium-claude-plugin, MIT.
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Signals
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- Last commit (this folder)
- Sep 29, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Methodology playbook for analyzing stablecoin volume, supply, holders, and geographic usage on Allium — USDC, USDT, DAI, USDS, RLUSD, USDG, JPYC, and other…
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Cite this page
product-guide skill. Agent Mart. https://agentmart.dev/skills/allium-labs-product-guide (last updated 2026-10-24)