Pyth

Access financial market data across every asset class.

Category: Data & Analytics
Primary Subcategory: Trading & Live Market Data Platforms

Integration details

Description

Access real-time and historical market data from Pyth — the largest first-party market data provider, with over 500 price feeds across crypto, equities, FX, metals, commodities, and rates. Discover available feeds, fetch live prices with bid/ask spreads and confidence intervals, pull OHLC candlestick data for technical analysis, and retrieve historical price snapshots at any timestamp. Compare assets across classes, track portfolio performance, analyze volatility, convert currencies, and export data.

Integration type: Connector
Verification status: Community connector
Platform: Claude
Category: Data & Analytics
Primary Subcategory: Trading & Live Market Data Platforms
Secondary Subcategories: None listed
Brand: Pyth Network
Access: No account required
First tracked: Unknown
Tool count: 4
Geography: US

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Primary Subcategory

Competing in Claude Trading & Live Market Data Platforms

View Category

5 scoredVerified connectors by score · Community connectors A–Z

Primary Subcategory

1Webull100/100

2Alpha Vantage MCP Server92/100

3Clear Street92/100

4Interactive Brokers (IBKR)38/100

5Coinversa Pulse0/100

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Tools

4 tools agents can invoke

Fetch OHLC candlestick data for a symbol. Pass your Pyth Pro `access_token` to authenticate the request. Use for charting, technical analysis, backtesting. IMPORTANT: The symbol must be the full name from get_symbols including the asset type prefix (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL', 'FX.EUR/USD') — never use bare names like 'BTC/USD'. Historical data is available from April 2025 onward — do not request timestamps before that. Resolutions: 1/5/15/30/60 minutes, 120/240/360/720 (multi-hour), D (daily), W (weekly), M (monthly). Timestamps are Unix seconds. Timestamp reference (Unix seconds): 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math — year-boundary errors are common.
get_candlestick_data
Get price data for specific feeds at a historical timestamp. Pass your Pyth Pro `access_token` to authenticate the request. Use get_symbols first to find feed IDs or symbols. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Accepts Unix seconds, milliseconds, or microseconds (auto-detected). Historical data is available from April 2025 onward — do not request timestamps before that. The timestamp is internally converted to microseconds and aligned (rounded down) to the channel rate — e.g. for fixed_rate@200ms, it must be divisible by 200,000μs. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience. Timestamp reference: 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math — year-boundary errors are common.
get_historical_price
Get the most recent real-time price for one or more feeds. Requires an `access_token` parameter (get one at https://docs.pyth.network/price-feeds/pro/acquire-access-token). Use get_symbols first to find symbols or feed IDs. IMPORTANT: symbols must be the full name including asset type prefix (e.g. 'Crypto.BTC/USD', not 'BTC/USD'). If both price_feed_ids and symbols are provided, only price_feed_ids are used. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience.
get_latest_price
List available Pyth Pro price feeds. Use this FIRST to discover what feeds exist before calling get_latest_price, get_historical_price, or get_candlestick_data. Filter by asset_type (crypto, equity, fx, metal, rates, commodity, funding-rate) or search by name/symbol. Returns feed metadata including pyth_lazer_id (needed for get_historical_price), symbol, asset_type, and exponent.
get_symbols

Pyth FAQ

How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Pyth alternatives on Claude?

As of 2026-09-29, Pyth competes with Webull, Alpha Vantage MCP Server, Clear Street, Interactive Brokers (IBKR), Coinversa Pulse, 0xArchive, Massive, ThetaData in Claude Trading & Live Market Data Platforms, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.