SLAM AI · DEX Pair Trades
Fetch historical and pending trades for specified DEX liquidity pools with multi-dimensional filtering.
What it does
Fetch historical and pending trades for specified DEX liquidity pools with multi-dimensional filtering.
- Analyze trader behavior in specific liquidity pools
- Track smart money movements by maker address
- Monitor block-range trade activity for arbitrage detection
Ideal buyer
On-chain analytics agents and DEX arbitrage systems requiring granular trade flow data.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Get all trades for this liquidity pool where the maker is 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"blockchain": "base",
"estimate_cost": false
}Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
Endpoint URL
curl fallback
curl https://slamai.dev/pair/trades \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"blockchain":"base","estimate_cost":false}'
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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Category proxy — we don't track live co-purchase signals yet.