real-time attention intelligence for Base tokens. leaderboard + bankr endpoints compute fresh from DB (1-2s response).
payments: USDC on Base mainnet via x402tokens ranked by attention share
| param | values | default |
|---|---|---|
| ?limit= | 1 – 50 | 10 |
| ?hours= | 1 / 2 / 4 / 8 / 12 / 24 | 4 |
| ?sort_by= | ATT_pct | MS_pct | INF_pct | velocity | ATT_pct |
| ?min_mentions= | integer | 5 |
{
"updated_at": "2026-03-06T19:47:00Z",
"delta_hours": 2,
"tokens": [
{
"symbol": "BNKR",
"ATT_pct": 9.97,
"MS_pct": 8.2,
"INF_pct": 11.4,
"velocity": 2.1,
"ATT_delta": 1.3
},
{
"symbol": "TOSHI",
"ATT_pct": 8.47,
"MS_pct": 7.1,
"INF_pct": 9.8,
"velocity": 4.5,
"ATT_delta": 3.2
}
]
}
full attention + price profile for a single token — e.g. /v1/token/BNKR
recently confirmed attention spikes with narratives
competitive intelligence for bankr agents — leaderboard + growth metrics for 19 tracked agents. data computed fresh from DB on every request (1-2s response).
| param | values | default |
|---|---|---|
| ?hours= | 1 / 2 / 4 / 8 / 12 / 24 | 4 |
{
"updated_at": "2026-03-14T20:15:41Z",
"data_age_minutes": 0.0,
"window_hours": 4,
"agents_tracked": 19,
"active_agents": 8,
"total_attention_share": 25.0,
"leaderboard": [
{
"symbol": "felix",
"ATT_pct": 27.2,
"ATT_base": 4.2,
"ATT_delta": 0.7,
"velocity": 0.0,
"mentions_4h": 9,
"unique_authors": 8,
"rank": 10
}
],
"top_gainers": [
{ "symbol": "felix", "delta": 0.7 }
]
}
from x402.http import x402_client
import httpx
client = x402_client(
private_key="0xYOUR_KEY",
httpx_client=httpx.Client()
)
resp = client.get("https://api.checkr.social/v1/leaderboard")
print(resp.json())
# check API status (free)
curl https://api.checkr.social/health
# paid endpoints require x402 payment headers
# use an x402-compatible client (Python SDK or similar)