docs

Santiment Node

The Santiment node brings Santiment's ↗ social and on-chain data into your workflows: whether sentiment on an asset is positive or negative, which narratives are spiking across Reddit, X and Telegram, how the chain underneath is behaving, and where an asset sits in its cycle. Like the Nansen and CoinGlass nodes, it's a single node with a two-level select — pick a category, then a lens — and the parameter fields change to match.

Social Sentiment
Sentiment · BTC

Where It Fits

NickAI carries three market-intelligence providers, and they answer different questions. Reaching for the wrong one is the most common mistake:

  • CoinGlass answers what the market is doing — aggregate derivatives, funding, open interest, liquidations. No identity.
  • Nansen answers who is doing it — labelled wallets, smart money, holders.
  • Santiment answers what the market is saying, and how the chain is behaving underneath — social, narrative, on-chain vitality.

How It Works

  1. Category — the data family: Social, Narrative, On-chain, Valuation, Development, or Signals.
  2. Lens — the specific dataset within that category. Only the lenses for the chosen category are shown.
  3. Parameters — re-render based on the lens. Per-asset lenses show an Asset field; Word Context shows a Word field; the narrative lenses show neither, because they're market-wide.

Every lens returns the same output envelope, so downstream nodes and the AI agent learn the shape once — see Output.


Categories & Lenses

CategoryLensWhat it returnsNeeds
SocialSentimentWeighted positive/negative sentiment balance across all sourcesasset
Social VolumeHow much an asset is discussed, total and per platformasset
Social DominanceShare of all crypto discussion this asset accounts forasset
NarrativeTrending WordsRanked words spiking in crypto social chatter right now—
Trending StoriesClustered narratives with a bull/bear ratio and related tokens—
Major TopicsSantiment's editorial digest of dominant narratives—
Word ContextTerms co-occurring with a wordword
On-chainNetwork HealthActive addresses, new addresses, transfer volume, velocityasset
Exchange FlowsTokens moving on/off exchanges, and share of supply held thereasset
Whale ActivityCount and volume of transactions over $100k and $1masset
Holder DistributionHow many addresses hold 1+, 100+, 1k+ tokens — the whale ladderasset
Coin AgeDormant supply waking up — age consumed, destroyed, dormant circulationasset
ValuationCycle MetricsMVRV, z-score, NVT, realized value, network profit/lossasset
DevelopmentDev ActivityGitHub commits and contributor countasset
SignalsAnomaly FeedSantiment's 16 pre-computed anomaly detectorsasset

Configuration

FieldDescription
CategoryThe Santiment data family. Choosing one filters the Lens list.
LensThe specific dataset to run within the category.
AssetA ticker (BTC) or a Santiment slug (bitcoin). Tickers resolve to a slug before the request is sent. Supports dynamic values via the f(x) toggle.
WordThe term to analyze. Shown only for Word Context. Supports f(x).
IntervalBucket size for the returned timeseries. Intervals finer than a lens resolves aren't offered.
Lookback (days)How far back to read. Shown for lenses the window actually bounds.
RecordsHow many words, stories or terms to return (1–100). Shown for the ranked narrative lenses.

History window

Most Santiment metrics are served on a 2-year rolling window on NickAI's plan. The node checks the requested lookback against that window before sending the request, so an over-wide range is a fixable validation error rather than a wasted call. Dev Activity is the exception — it has unlimited history and isn't held to the 2-year limit.

If a request is clamped anyway (for example a config built dynamically), the output says so at {santiment.meta.historyClamped}.

Data freshness

Two lenses are not live, and it matters:

  • Anomaly Feed returns sparse events, not a timeseries. It always looks back at least 90 days, and returning few or no rows genuinely means nothing fired.
  • Major Topics is published every ~3 days, about a week in arrears. It tells you what a period was about — never what's happening now. Use Trending Stories for that.

Billing & Credits

The node runs on NickAI's Santiment access at a flat 5 credits a call, whichever lens you pick. There's no bring-your-own-key path.


Workflow Examples

Sentiment Regime Gate

Only act when the crowd has turned — use sentiment as a filter on another signal.

Sentiment
Sentiment · BTC
Negative?
1 rule
Interpret
Claude Sonnet 4.6
Notify

Narrative Radar

Catch a story before it's priced in. The narrative lenses need no asset, so this runs market-wide.

Trending Stories
Narrative
Which tokens?
Claude Sonnet 4.6
Notify

Each story carries a bullishRatio, a bearishRatio and the tokens it mentions, so the LLM has the lean and the tickers without any custom glue.

Multi-Source Consensus

The three providers answer different questions, so reading them together is stronger than any one alone.

Sentiment
Social · ETH
Funding Rate
ETHUSDT
Nansen
Smart Money
Net Flows
Consensus
Claude Sonnet 4.6
Trade?
1 rule

Output

Every lens returns the same envelope. Metric lenses fill series and latest; narrative lenses fill rows. Never both.

PathDescription
{santiment.source}Always santiment
{santiment.category}The category that ran (social, narrative, onchain, valuation, dev, signals)
{santiment.lens}The specific lens that ran (e.g. sentiment, trending-stories)
{santiment.query}Echo of what was asked (asset/slug/word/interval/window)
{santiment.summary}A 1–2 sentence natural-language synthesis — feed this to an LLM node
{santiment.latest}Newest value per metric, flattened. Empty for narrative lenses
{santiment.series}Per-metric timeseries of { datetime, value }. Empty for narrative lenses
{santiment.rows}Ranked records for narrative lenses. Empty for metric lenses
{santiment.meta.asOfData}Newest datetime present in the data — check this for staleness
{santiment.meta.rateLimitCost}Santiment rate-limit units this call consumed
{santiment.meta.historyClamped}Present only when the lookback was narrowed to the plan's window
{santiment.missing}Metric names this asset doesn't carry

Example Output

{
  "source": "santiment",
  "category": "social",
  "lens": "sentiment",
  "query": { "asset": "BTC", "slug": "bitcoin", "interval": "1d", "days": 30 },
  "summary": "bitcoin sentiment is net negative (balance -10.81, rising). Positive 58.79 vs negative 69.60.",
  "latest": {
    "sentiment_balance_total": -10.81,
    "sentiment_positive_total": 58.79,
    "sentiment_negative_total": 69.6
  },
  "series": {
    "sentiment_balance_total": [
      { "datetime": "2026-09-11T00:00:00Z", "value": -14.2 },
      { "datetime": "2026-09-12T00:00:00Z", "value": -10.81 }
    ]
  },
  "rows": [],
  "meta": {
    "asOf": "2026-09-13T10:31:00.000Z",
    "asOfData": "2026-09-12T00:00:00Z",
    "metricsRequested": 4,
    "metricsReturned": 4,
    "rateLimitCost": 4,
    "attribution": "Powered by Santiment"
  },
  "missing": []
}

Next Steps

  • LLM Node — Feed {santiment.summary} into an LLM for analysis and recommendations.
  • Function Node — Parse series or rows with custom JavaScript.
  • Conditional Node — Route on a sentiment balance, dominance or whale threshold.
  • Nansen Node — Add wallet-level identity to the social picture.
  • CoinGlass Node — Add derivatives positioning for consensus.