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dex-pair-search

Search DEX trading pairs across 50+ chains by token symbol, name, or address. Get top liquidity pairs with real-time price, volume, and buy pressure.

Instructions

Search DEX trading pairs for any token (by symbol, name, or contract address) across 50+ chains including Ethereum, Solana, Base, BSC, Arbitrum, Polygon, and Avalanche. Returns top pairs by liquidity with real-time price, 24h volume, buy/sell transaction counts, price change %, and buy pressure metric. Free via DexScreener. Ideal for agents tracking on-chain trade flow, entry/exit signals, or multi-chain token prices without maintaining DEX integrations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoToken symbol (e.g. SOL, ETH, USDC), name, or contract address to search.
chainNoOptional: filter to a specific chain ID (solana, base, eth, bsc, arbitrum, polygon, etc.).
limitNoMax pairs to return (1–30). Default 10.
min_liquidity_usdNoFilter pairs with less than this USD liquidity. Default 10000.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses it is free via DexScreener, returns real-time data with specific metrics, and implies read-only behavior. Adds value beyond schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no wasted words, front-loaded with key action. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description explains what is returned (top pairs, real-time price, volume, etc.) and parameter defaults, making it complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds context like 50+ chains and default values. It explains the search supports symbol, name, or contract address, enhancing understanding beyond parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches DEX trading pairs for any token across 50+ chains, returning top pairs by liquidity with real-time metrics. It distinguishes itself from sibling tools like dex-trending-pools by focusing on specific token search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states ideal use cases: tracking on-chain trade flow, entry/exit signals, and multi-chain token prices. It does not mention when not to use or compare to alternatives, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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