Crypto Sentiment History API is a paid API for AI agents from crypto-sentiment-x402.onrender.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-27).
Returns hourly historical crypto news sentiment readings for a given coin symbol, including recency-weighted sentiment scores, Fear & Greed Index values, and the top headlines driving each reading.
Crypto news sentiment for 24 coins, scored from headlines at 9 crypto news outlets plus the Fear & Greed Index, with the headlines behind each score. Paid per call over x402 in USDC on Base: $0.01 for GET /sentiment/{symbol} and $0.05 for GET /history/{symbol}. Requests for an unsupported coin, a coin with too little recent news, or a history range with no readings are refused and not charged.
Returns a JSON object with a list of hourly sentiment rows for the requested coin symbol. Each row includes: the observation timestamp, the scoring window type, average compound sentiment score (recency-weighted or plain average depending on era), Fear & Greed Index value, sample size, effective sample size, unweighted 72-hour compound score, newest headline age in hours, and the top driving headlines with their individual scores, sources, weights, and publication timestamps. Also includes start/end range, total count, methodology notes, and recording caveats.
GEThttps://crypto-sentiment-x402.onrender.com/history/%7Bsymbol%7D?utm_source=zero.xyzUse this endpoint when you need time-series sentiment history for a specific cryptocurrency rather than a single real-time snapshot. It is ideal for trend analysis, backtesting sentiment signals, auditing past market mood, or populating dashboards. Prefer the cheaper /sentiment/{symbol} endpoint if you only need the current sentiment reading. This endpoint costs $0.05 USDC per call via x402 on Base, compared to $0.01 for the real-time endpoint.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"end": "2026-10-04T02:00:00Z",
"rows": [
{
"window": null,
"drivers": null,
"matcher": "whole_word",
"observed_at": "2026-10-04T00:00:02.513104+00:00",
"sample_size": 52,
"average_compound": 0.1123,
"fear_greed_value": 41,
"effective_sample_size": null,
"unweighted_compound_72h": null,
"newest_headline_age_hours": null
},
{
"window": "72h-hl24",
"drivers": [
{
"link": "https://example.com/news/bitcoin-etf-inflows",
"score": 0.6249,
"title": "Bitcoin ETFs log fifth straight day of inflows",
"effect": 0.0221,
"source": "CoinDesk",
"weight": 0.8963,
"published": "2026-10-03T22:05:00Z"
}
],
"matcher": "whole_word",
"observed_at": "2026-10-04T01:00:02.209871+00:00",
"sample_size": 55,
"average_compound": 0.1388,
"fear_greed_value": 41,
"effective_sample_size": 31.7,
"unweighted_compound_72h": 0.1012,
"newest_headline_age_hours": 1.2
}
],
"count": 2,
"start": "2026-10-04T00:00:00Z",
"symbol": "BTC",
"recording": "Readings are recorded live at the top of every UTC hour and never backfilled. An hour the logger missed stays missing.",
"methodology": "Rows before 2026-10-03 were scored with substring headline matching (matcher null); later rows with whole-word matching (matcher \"whole_word\"). Drivers (the top headlines behind a reading) are stored from 2026-10-03 on; older rows have drivers null. See /validation for the methodology notes.",
"average_compound_note": "average_compound depends on the row's window column. window \"72h-hl24\" (from 2026-10-04): the recency-weighted score over headlines from the last 72 hours (weight halves every 24 hours), the same number the live API returns; unweighted_compound_72h, effective_sample_size and newest_headline_age_hours are filled in. window null (earlier rows): the plain average over every item the feeds held, however old, and those four columns are null."
}
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