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Espresso API & MCP
Curated Business Intelligence for AI Agents & Dashboards
Espresso API & MCP delivers curated, high-signal business intelligence through market events and analyzed signals. It aggregates and cross-correlates public data sources — price changes, SEC filings, earnings reports, product announcements, corporate partnerships, stock movements, and more — then synthesizes them into meaningful signals cutting the noise. - Semantic search & filtering - Token optimized MCP-friendly output Perfect for Business Intelligence agents and dashboards.
**What inspired me to build this**
I wanted higher-precision business intelligence and better market prediction without drowning in noise. I kept seeing how macro, geopolitical, and corporate events cascaded into real impact, but stitching that together manually was painful and expensive.
**What problem was I trying to solve**
I needed to filter out the endless crying, whining, and duplicate noise, understand time relationships between events, and connect tangential signals across public data sources — all at a reasonable cost. Espresso is my attempt to solve that.
**How did my process evolve**
We started by building daily internal reports on market dynamics. As I used it, I realized many others faced the same problem. So we cleaned and structured the underlying data, exposed it via a clean API + MCP, and also publish some curated digests through Espresso Publications.
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About Espresso API & MCP on Product Hunt
“Curated Business Intelligence for AI Agents & Dashboards”
Espresso API & MCP was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #80 on the daily leaderboard. Espresso API & MCP delivers curated, high-signal business intelligence through market events and analyzed signals. It aggregates and cross-correlates public data sources — price changes, SEC filings, earnings reports, product announcements, corporate partnerships, stock movements, and more — then synthesizes them into meaningful signals cutting the noise. - Semantic search & filtering - Token optimized MCP-friendly output Perfect for Business Intelligence agents and dashboards.
Espresso API & MCP was featured in API (98.4k followers), GitHub (41.3k followers), Data & Analytics (5.7k followers) and Business Intelligence (3.6k followers) on Product Hunt. Together, these topics include over 40.3k products, making this a competitive space to launch in.
Who hunted Espresso API & MCP?
Espresso API & MCP was hunted by Soumit Salman Rahman. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Soumit Salman Rahman