honest comparison

signaldaemon vs Adanos

Both feed market context to AI agents — but they do different jobs. Adanos is broad, multi-source market sentiment, stock-first. signaldaemon is crypto/AI/macro narrative intelligence: cross-source convergence and narrative-vs-price divergence, MCP-native. This page is written to be fair — including where Adanos is the better choice.

Use Adanos if…

You trade US equities and want per-ticker sentiment across 35k+ symbols
You want raw social/news buzz from Reddit, X, News & Polymarket in one schema
You want SDKs (Py/TS/PHP) + CLI and published per-tier pricing today

Use signaldaemon if…

You work crypto / AI / macro and want narrative, not just a sentiment score
You want cross-source convergence (how many independent sources agree) + narrative-vs-price divergence
You want it MCP-native (agent calls it as a tool) and fail-safe (says "no coverage", never invents)

Or use both. They're complementary: Adanos for per-stock social sentiment, signaldaemon for crypto narrative intelligence. In a trading agent (e.g. on AI-Trader) you can load both and let the agent read each before it acts — see the quickstart.

Side by side

	Adanos	signaldaemon
Focus	Market sentiment, stock-first	Crypto/AI/macro narrative & signal
Asset coverage	35k+ tickers (stocks); crypto = Reddit-only	Crypto-native, ~14 domains; sector/narrative-level
Data	Per-asset buzz/sentiment scores, mentions, by source	Narratives + clean feed; convergence + divergence signals
Sources	5 feeds: Reddit, X, News, Polymarket	~49 curated news sources (news-derived)
Cross-source convergence	Coverage badge; agreement left to your LLM	Computed — trust-weighted independent-source agreement
Narrative-vs-price divergence	None (no price data)	Two signed axes (direction vs vs_market)*
Fail-safe	"no data" response	Explicit `no_asset` / `no_coverage` refusal
Cadence	~hourly	~20 min
Agent integration	REST + SDK + CLI + skill	Remote MCP native + REST + agentskills.io skill
Pricing	Public: Free / $29 / $299 / Enterprise	Free demo + free account (beta); institutional custom

*We treat divergence as a structured observation, not a proven trading edge — we're backtesting it (controlling for price momentum) before claiming predictive power. How we report it →

Where Adanos is the better pick (we mean it)

US equities & breadth. 35k+ tickers and four social/news feeds beat our crypto-only, news-derived coverage for stock traders.
Per-symbol social volume. If you want X/Reddit mention counts on a specific ticker, that's their core; we're narrative/sector-level.
Tooling maturity. Public pricing, multi-language SDKs and a CLI are shipped and polished.

Our wedge is narrow and deliberate: crypto narrative intelligence with computed convergence, honest fail-safe, and MCP-native delivery — the part a per-asset sentiment score can't give you. If that's your job, wire it in in 2 minutes; if you also trade stocks, run Adanos beside it.