Recent trades on Kalshi, optionally filtered to one market ticker. Returns each trade's ticker, contract count, taker side, yes/no price (dollars), and time. Page with limit + cursor. Read-only (no Kalshi key needed).
/api/predict/kalshi-tradesPAYMENT-SIGNATURE.The kalshi trades API is a pay-per-call predict endpoint built for AI agents and autonomous software. Recent trades on Kalshi, optionally filtered to one market ticker.
There is no signup and no API key. An agent (or any HTTP client) hits the endpoint, receives an x402 "402 Payment Required" challenge, signs a sub-cent USDC payment on Base or Solana, and retries — the data comes back on the paid request. That makes it a drop-in kalshi trades data source for an agent tool-use loop, an MCP host, or a backend that needs predict data on demand without onboarding to yet another vendor portal.
| Name | Type | Description |
|---|---|---|
ticker | string | max 120 chars |
limit | integer | min 1 · max 100 |
cursor | string | max 400 chars |
# 1. Probe with no auth → 402 envelope with PaymentRequirements curl -sS 'https://2s.io/api/predict/kalshi-trades?ticker=example&limit=1&cursor=example' # 2. Sign + retry with PAYMENT-SIGNATURE: curl -sS 'https://2s.io/api/predict/kalshi-trades?ticker=example&limit=1&cursor=example' \ -H 'PAYMENT-SIGNATURE: <base64-json-payload>' # Or use the canonical runner (handles probe → sign → retry): # EVM_PRIVATE_KEY=0x... node --env-file=.env.local \ # --experimental-strip-types scripts/x402-pay.ts \ # 'https://2s.io/api/predict/kalshi-trades?ticker=example&limit=1&cursor=example'
import { TwoS } from '@2sio/sdk'
const client = new TwoS({
privateKey: process.env.EVM_PRIVATE_KEY as `0x${string}`,
})
const result = await client.predict.kalshiTrades({
"ticker": "example",
"limit": 1,
"cursor": "example"
})
console.log('endpoint:', result.endpoint)
console.log('cost:', result.costUsd, 'USDC')
console.log('tx:', result.settlement?.txHash)
console.log('data:', result.data)import os
from twosio import TwoS
client = TwoS(private_key=os.environ["EVM_PRIVATE_KEY"])
result = client.predict.kalshi_trades(ticker="example", limit=1, cursor="example")
print("endpoint:", result.endpoint)
print("cost:", result.cost_usd, "USDC")
print("tx:", (result.settlement or {}).get("tx_hash"))
print("data:", result.data)// 1. Add @2sio/mcp to your MCP host config (Claude Desktop example below).
// EVM_PRIVATE_KEY funds x402 payments per call.
// claude_desktop_config.json
{
"mcpServers": {
"2sio": {
"command": "npx",
"args": ["-y", "@2sio/mcp"],
"env": { "EVM_PRIVATE_KEY": "0x..." }
}
}
}
// 2. Once the server is running, agents call this tool via standard MCP:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "predict.kalshi-trades",
"arguments": {
"ticker": "example",
"limit": 1,
"cursor": "example"
}
}
}| Field | Type | Description |
|---|---|---|
ok | boolean | one of: true |
items | array | |
total | integer | Total matching rows upstream; null when unknown. |
source | object | |
meta | object |
{
"ok": true,
"items": [
{
"count": 1,
"yesPrice": 1,
"noPrice": 1
}
],
"total": 1,
"source": {
"provider": "example",
"url": "example",
"license": "example"
},
"meta": {
"cursor": "example"
}
}