About

SentiSense

A financial intelligence platform: a clean API, an agent skill, and a full app, backed by one unified data graph.

Why this exists

One data graph, three surfaces.

Financial intelligence is fragmented. Prices live in one place, filings in another, social signals in a dozen feeds, and the AI tools that could connect them treat each as a separate silo.

SentiSense unifies those streams into a single data graph and exposes it three ways: a clean API for builders, an agent skill for AI workflows, and a full app for traders who don't write code. One source of truth, three surfaces.

What's in the box

Six surfaces, one platform.

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Sentiment & Stories

AI-clustered news from 4,300+ publishers, plus X, Reddit, and Substack signals.

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Stocks

Prices, fundamentals, analyst ratings, earnings, and curated KPIs.

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Institutional Tracker

SEC 13F flows, holders, activist positioning, and options data.

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Insider & Politicians

Form 4 and STOCK Act trades with custom alerts.

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Market Mood

A composite sentiment index built from multiple sub-signals.

FOR BUILDERS
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API + Agent Skill

59 documented endpoints, Python and Node SDKs, and an OpenClaw skill at /skill.md.

By the numbers

What's actually under the hood.

59

Documented API endpoints

View the docs โ†’
4,300+

News publishers ingested

Plus X, Reddit, Substack

6

Data sources unified

News, X, Reddit, Substack, 13F, Form 4

All figures auditable from public docs and ingestion sources.

How it's built

A serious data API on a solid foundation.

01

API-first

Every product surface in the app is the same API surface developers and agents call. One source, no duplicate logic.

02

Proactive, not reactive

Insights are computed and ready: clustered stories, sentiment scores, institutional flows. Not a chatbot waiting for prompts.

03

Heavy lifting done for you

News clustering, sentiment scoring, filings parsing, and report generation run continuously in the background. You consume the result, not the pipeline.

04

Composable for AI

Designed so Claude, Cursor, and your own scripts stack on top cleanly, with a published OpenClaw skill at /skill.md.

Two doors in

Use the app to research and track. Use the API to build it into your own workflow. Same data graph, different surface.