DATA FOUNDRY · CRYPTO MARKET DATA
Deterministic crypto spot price candles and daily market snapshots.
Verified daily OHLCV klines and multi-asset market snapshots. Ingested through Data Foundry pipelines with SHA-256 release manifests and DuckDB columnar compatibility. Note: This dataset contains historical candles and market snapshots; it does NOT contain L2/L3 order-book data. Restricted high-frequency order-book feeds are excluded.
COMMERCIAL ACCESS
Verified Parquet archives + Claude MCP integration
- ✓ Verified Data Foundry Parquet partitions (zstd)
- ✓ Model Context Protocol (MCP) tool integration
- ✓ Metering: 1 Credit (~$0.0015 USD) via Claude MCP query_dataset
- ✓ Deterministic quality gate & hash verification
- ✓ Contractual commercial rights clearance
Quotes reviewed by systems engineering within 1 business day
COLUMN SPECIFICATIONS
Typed relational schema.
Columnar Parquet & DuckDB ready.
| Column Name | Data Type | Description |
|---|---|---|
dt |
DATE | Observation date (YYYY-MM-DD) |
symbol |
VARCHAR(32) | Trading pair identifier (e.g. BTCUSDT, ETHUSDT) |
open |
DOUBLE | Interval opening price in USD/USDT |
high |
DOUBLE | Interval high price in USD/USDT |
low |
DOUBLE | Interval low price in USD/USDT |
close |
DOUBLE | Interval closing price in USD/USDT |
volume |
DOUBLE | Base asset aggregate trading volume |
quote_volume |
DOUBLE | Quote asset volume in USDT |
trades |
INTEGER | Total trade executions in interval |
source |
VARCHAR(32) | Verified exchange venue feed (binance.us) |
SYSTEM STATUS & CAPABILITY BOUNDARIES
Engineering reality.
Verified operational features vs planned protocol capabilities.
Verified Operational Today
- ✓ Apache Parquet Partitions: Columnar archives (Zstandard compressed) with typed relational schemas.
- ✓ Zero-Copy Local Analytics: In-memory SQL exploration via DuckDB, Python Polars, and Arrow.
- ✓ Cryptographic Deduplication: SHA-256 release manifests and seen-keys ledger preventing record drift.
- ✓ Statutory Rights Clearance: 100% license-cleared provenance with statutory citations.
- ✓ Technical Quote Intake: Systems engineering review and schema sample verification.
Pilot & In-Specification Capabilities
- ◌ Remote MCP Streaming Adapter:
query_datasettool endpoint available under enterprise pilot agreements. - ◌ Automated Micro-Settlement: Agent-to-agent procurement and escrow via EXCHANGER (active protocol specification).
- ◌ Multi-Region Edge Replicas: Global Cloudflare R2 bucket replication currently in private validation.
VERIFIED SAMPLE RECORD
Inspect the raw payload.
Zero mocked fields.
{
"status": "success",
"symbol": "BTCUSDT",
"dt": "2026-11-14",
"open": 98120.50,
"high": 98950.00,
"low": 97840.25,
"close": 98450.25,
"volume": 14285.42,
"quote_volume": 1406542150.00,
"trades": 84210,
"dataset": "crypto_spot_klines_daily",
"hash_fingerprint": "4c3701557625e77f432586c5a8e554334f3aab110649a2c7fe9f47d9c7f5f03f"
}
AGENT INTERFACE & MCP TOOL CONTRACT
Plug directly into Claude Code, Codex, and autonomous workflows.
Deterministic data retrieval.
Machine-Readable Contract
Direct dataset extraction is delivered via high-throughput columnar Apache Parquet. For autonomous assistants, ELYRAON provides standard Model Context Protocol (MCP) tool schemas and REST integration adapters with signed SHA-256 integrity receipts.
Adapter identifier: query_dataset
Pricing status: 1 Credit (~$0.0015 USD) via Claude MCP query_dataset
Active MCP Endpoint: https://elyraon.com.co/agents/mcp (Host to live structural verification tools; metered dataset adapters available in scoped pilots).
{"tool": "query_dataset", "arguments": {"dataset": "crypto_spot_klines_daily", "limit": 10}}
MACHINE-READABLE SPECIFICATIONS
Structured metadata for autonomous agents.
Zero scrapers, zero hallucinations.
{
"entity_id": "https://elyraon.com.co/datasets/crypto-orderbook-l2-l3/#dataset",
"catalog_id": "https://elyraon.com.co/datasets/#catalog",
"canonical_url": "https://elyraon.com.co/datasets/crypto-orderbook-l2-l3/",
"primary_format": "application/vnd.apache.parquet",
"compression": "zstd",
"ingestion_pipeline": "crypto_markets.py",
"mcp_tool_name": "query_dataset",
"license": "Public API Terms (Attribution Required; Commercial Analytics Permitted)",
"duckdb_quickstart": "SELECT * FROM read_parquet('crypto-orderbook-l2-l3.parquet') LIMIT 5;"
}
WHY ELYRAON DATA FOUNDRY
Architectural contrast.
Built for engineering reality.
Unlike unverified public scrapers, Data Foundry validates every partition against quality gate rules and maintains an immutable seen-keys ledger to prevent duplicate or missing intervals.
Conventional Data Feeds
- Undetected socket drops during volatility
- Messy unstructured CSV/JSON with broken parsers
- Ambiguous copyright terms creating lawsuit liability
- Expensive multi-thousand dollar rigid contracts
ELYRAON Data Foundry
- Continuous quality gate reconciliation
- Clean, typed, content-addressed Apache Parquet
- 100% license-cleared provenance with statutory citations
- Clear request-quote pricing and cryptographic delivery verification
RELATED DATASETS & AGENT PLATFORM
Connected intelligence feeds.
Cross-domain discovery and autonomous infrastructure.
TECHNICAL FREQUENTLY ASKED QUESTIONS
Clear answers.
Engineering boundaries.
What datasets are included in this partition?
Data Foundry provides `crypto_spot_klines_daily` (46,719 verified rows dating back to 2019) and `crypto_market_snapshots` (2,527 verified daily snapshots for the top 500 digital assets).
Is raw L2/L3 order-book data included in this dataset?
No. These 49,246 records consist strictly of historical daily OHLCV spot price candles (46,719 rows) and daily market price snapshots (2,527 rows). Raw L2/L3 order-book feeds (`hl_restricted_probe`) are quarantined and not syndicated commercially due to venue licensing restrictions. Real-time Hyperliquid market snapshots and funding rates are available via the Markets Intelligence API, while private order-book capture is supported solely via customer-hosted (BYO-Infra) software.
Are proprietary HIP-3/HIP-4 feeds redistributed?
No. In strict compliance with licensing boundaries, restricted Hyperliquid raw order book feeds are blocked from commercial redistribution. Live funding rates and market snapshots are available separately via our Intelligence Cloud.
What format is the data delivered in?
Standard Apache Parquet files partitioned by date and asset, queryable in milliseconds via DuckDB, Python Polars, our REST API, or Model Context Protocol (MCP).
How do I access this data immediately?
You can purchase the $29 Foundry Access Pack at /foundry/#pricing to obtain instant MCP credentials, or run sample queries directly in the online Foundry Explorer.