Sports prediction markets across Polymarket and Kalshi in one call — game lines, futures, and props (NFL/NBA/MLB/NHL/soccer/tennis/etc). Optionally narrow with league (a tag/category keyword, e.g. nfl, soccer, world-cup) and cap with limit. Each hit is tagged with its venue and returns the question, live YES/NO price (implied probability), USD volume, close date, and the venue URL. Read-only, keyless.
/api/predict/sportsPAYMENT-SIGNATURE.The sports API is a pay-per-call predict endpoint built for AI agents and autonomous software. Sports prediction markets across Polymarket and Kalshi in one call — game lines, futures, and props (NFL/NBA/MLB/NHL/soccer/tennis/etc).
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 sports 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 |
|---|---|---|
league | string | League/category keyword (e.g. nfl, nba, soccer, world-cup). max 60 chars |
limit | integer | Max results per venue (default 20). min 1 · max 100 |
# 1. Probe with no auth → 402 envelope with PaymentRequirements curl -sS 'https://2s.io/api/predict/sports?league=example&limit=1' # 2. Sign + retry with PAYMENT-SIGNATURE: curl -sS 'https://2s.io/api/predict/sports?league=example&limit=1' \ -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/sports?league=example&limit=1'
import { TwoS } from '@2sio/sdk'
const client = new TwoS({
privateKey: process.env.EVM_PRIVATE_KEY as `0x${string}`,
})
const result = await client.predict.sports({
"league": "example",
"limit": 1
})
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.sports(league="example", limit=1)
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.sports",
"arguments": {
"league": "example",
"limit": 1
}
}
}| 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": [
{
"venue": "polymarket",
"title": "example",
"yesPrice": 1,
"noPrice": 1,
"volumeUsd": 1,
"endDate": "example",
"ticker": "example",
"slug": "example",
"conditionId": "example",
"tags": [
"example"
],
"url": "example"
}
],
"total": 1,
"source": {
"provider": "example",
"url": "example",
"license": "example"
},
"meta": {
"byVenue": {}
}
}