Attention History (Index)
FreeGET /api/attention/historyThe /api/attention/history endpoint returns the list of dates for which we have captured an AI Attention Index snapshot. Snapshots are captured once per day at 7 AM UTC; the dataset compounds and cannot be backfilled, so this list grows monotonically. Pair with /api/attention/history/{date} to read a specific day, or with the paid /api/premium/attention/series for a per-provider time series.
When to use this endpoint
When your agent wants to know how far back the historical attention data goes before requesting a series. Free, lightweight discovery endpoint.
Example response
{
"ok": true,
"count": 14,
"dates": ["2026-04-30", "2026-04-29", "2026-04-28", "..."]
}Code samples
Python SDK
import urllib.request, json
with urllib.request.urlopen("https://tensorfeed.ai/api/attention/history") as r:
data = json.loads(r.read())
print(f"{data['count']} snapshot dates available, oldest: {data['dates'][-1]}")TypeScript SDK
const res = await fetch("https://tensorfeed.ai/api/attention/history");
const data = await res.json();
console.log(`${data.count} dates, oldest: ${data.dates[data.dates.length - 1]}`);FAQ
How far back does the attention history go?
It started capturing in late April 2026 and grows by one date per day. The dataset compounds; it cannot be backfilled because the live attention signals depend on news/trending/activity data that we do not retain at high resolution beyond the rolling caches.