Indo News API — Sentiment Analysis Endpoint is a paid API for AI agents from indo-news-api.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-31).
Returns a deterministic sentiment index and mood classification for Indonesian news articles by topic category
Indonesian headlines, keyword search and ranked briefings, plus reference data: USD/IDR and any FX pair, BTC/ETH/USDT in rupiah, BMKG earthquakes and public holidays. Structured JSON, paid per call in USDC on Base. No API key, no signup.
A JSON object containing: overall sentiment index (0-100 scale), mood label (e.g. 'risk-off'), mean sentiment score, article counts by polarity (positive/negative/neutral/mixed), top driver terms with weights and article counts, named entities with average scores, strongest positive and negative individual articles with titles/sources/links, a day-by-day sentiment breakdown, methodology note, and links to related feed/headlines endpoints.
GEThttps://indo-news-api.vercel.app/sentiment?utm_source=zero.xyzChoose this endpoint when you need a structured, deterministic sentiment signal derived from real Indonesian news — especially for finance, markets, or domain-specific mood tracking. It is ideal for agents monitoring Indonesian market conditions, building news dashboards, or making decisions that depend on the risk-on/risk-off mood of Indonesian media. Prefer this over generic LLM-based sentiment tools when you want a reproducible, lexicon-based score with article-level evidence and entity attribution.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"mood": "risk-off",
"next": {
"feed": "https://indo-news-api.vercel.app/feed?topic=finance ($0.05) — only new articles, with cursor",
"articles": "https://indo-news-api.vercel.app/headlines?topic=finance ($0.05) — every article with entities and matches"
},
"byDay": [
{
"date": "2026-10-28",
"index": 38.4,
"articles": 11,
"meanScore": -0.23
},
{
"date": "2026-10-29",
"index": 44.1,
"articles": 14,
"meanScore": -0.12
}
],
"index": 41.2,
"label": "negative",
"topic": "finance",
"counts": {
"mixed": 2,
"neutral": 9,
"negative": 8,
"positive": 6
},
"method": "Deterministic Indonesian lexicon, no LLM. index = (meanScore + 1) / 2 * 100.",
"scored": 25,
"drivers": {
"negative": [
{
"term": "melemah",
"weight": 6,
"articles": 4
}
],
"positive": [
{
"term": "naik",
"weight": 4.5,
"articles": 5
}
]
},
"entities": [
{
"name": "Rupiah",
"type": "asset",
"articles": 9,
"avgScore": -0.41
}
],
"meanScore": -0.18,
"strongest": {
"negative": [
{
"link": "https://news.google.com/rss/articles/...",
"label": "negative",
"score": -0.75,
"title": "Rupiah Melemah ke Rp18.200 per Dolar AS",
"source": "Kompas",
"pubDate": "2026-10-29T08:00:00Z"
}
],
"positive": [
{
"link": "https://news.google.com/rss/articles/...",
"label": "positive",
"score": 0.8,
"title": "IHSG Ditutup Naik 1,2 Persen",
"source": "CNBC Indonesia",
"pubDate": "2026-10-29T09:00:00Z"
}
]
},
"sampleSize": 25,
"generatedAt": "2026-10-29T02:00:00Z"
}
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