Baselight

Everyone should be a data analyst. Turn questions into insights instantly with AI and billions of rows of data on crypto, sports, and everything in between📊

[Finisterra Labs @FinisterraLabs]

The Finisterra team is joining @chainalysis.

🧵 1/5

[Finisterra Labs @FinisterraLabs]

We started Finisterra Labs with a clear vision: to index the world’s structured data.

Over the last two years, we've amassed over 510 billion rows of data across 87,000 datasets. It’s been an incredible journey building a platform that changed how we interact with data. 🧵

[Baselight @BaselightDB]

Baselight Weekly Update: 80K+ datasets, nearly 500K tables, and now DuckLake support.

Baselight keeps growing - both in scale and interoperability.

This week, we crossed 80,000 indexed datasets, moved closer to 500,000 tables, and integrated DuckLake with the Baselight catalog.

With this milestone, Baselight now supports 3 lakehouse formats:
- Baselight's native format
- Apache Iceberg
- DuckLake

Current catalog scale:
512,193,557,002 rows (up 3B this week)
488,617 tables (up 4K this week)
80,296 datasets (up 1K this week)

A broader catalog, more lakehouse compatibility, and one simple interface to query the world's structured data.

[Baselight @BaselightDB]

Worth sharing the original Baselight Daily Insights: Soccer Odds signal from June 11.

Before Ivory Coast beat Ecuador last night, the insight had already flagged (4 days before) that Ivory Coast looked mispriced as heavy underdogs despite strong recent form - and highlighted value in the Ivory Coast or Draw angle.

Original insight:
https://t.co/NRPSksYz1f

[Baselight @BaselightDB]

The data saw the edge before the match did.

On June 11, Baselight Daily Insights - Soccer Odds highlighted that Ivory Coast looked mispriced against Ecuador.

Despite strong recent form - 4 wins in their last 5 matches - Ivory Coast were still being offered at odds as high as 3.75, implying only a 26.67% chance of winning.

The suggested angle: Ivory Coast or Draw.

Last night: Ivory Coast 1-0 Ecuador.
90th-minute winner by Amad Diallo.

This is the power of combining structured football data with market odds: sometimes the interesting question isn’t "who is the favourite?" - it’s "what is the market missing?"

[Baselight @BaselightDB]

Explore the data behind the coverage:

World Cup 2026 dashboard:
https://t.co/QWx9RwvfP4

Daily Insights - Soccer:
https://t.co/jyprb0qAI4

Daily Insights - Soccer Odds:
https://t.co/HQyxVq0HaO

[Baselight @BaselightDB]

Baselight is kicking off full World Cup 2026 coverage today ⚽

We now have a dedicated World Cup 2026 dashboard tracking:
- Upcoming matches
- Top players
- Top teams
- Recent match feed

And our existing Daily Insights feature is already surfacing World Cup stories across the Soccer and Soccer Odds categories.

The interesting part: we did not explicitly tell the Daily Insights agents to focus on World Cup matches. They autonomously prioritize them because of their global importance, market relevance, and data signal strength.

A few highlights from today’s edition:
- Bookmakers highlight massive disparities in World Cup group stage
- Ivory Coast priced as heavy underdogs despite strong recent form in World Cup opener
- In-form Iran offered at near-even money against struggling New Zealand

This is exactly what Baselight is built for: autonomous agents discovering what matters across structured data, from match schedules and team performance to betting markets and live result feeds.

Baselight now indexes:
- 508,964,616,505 rows
- 484,967 tables
- 78,955 datasets

Follow the World Cup through data, not just headlines.

[Baselight @BaselightDB]

Explore the data behind the coverage:

World Cup 2026 dashboard:

[Baselight @BaselightDB]

Explore the new datasets on Baselight:
- AI Models Intelligence
https://t.co/r5l0ocAO15

- NOAA climate and environmental datasets
https://t.co/hwO0vCG8Gv

From AI model benchmarks and pricing to climate records going back to 1763 - all queryable as structured data.

[Baselight @BaselightDB]

We’re tracking 767 AI models across every major lab.

What the data says right now:
- Top Intelligence Score: Claude Opus 4.8 (61.4) & GPT-5.5 (60.2)
- Best value: Gemini 3.5 Flash - 55.3 score at $1.50 prompt / $9 completion (1M tokens)

The gap between “best” and “best value” is closing fast.

This week we added AI Models Intelligence to Baselight: normalized model pricing, benchmarks, capabilities, endpoints, and performance data from sources including OpenRouter and Artificial Analysis.

We also added NOAA NCEI datasets with climate and environmental data from 1763 to present.

Baselight now has:
- 509,001,889,281 rows
- 484,031 tables
- 78,773 datasets

That’s +4B rows, +7K tables, and +2K datasets this week.

Structured data is becoming the intelligence layer for everything - from climate history to the AI model economy.

[Baselight @BaselightDB]

Want to explore GDELT directly?

Dataset link: https://t.co/ryWQ0U3fh1

Open it, click Ask AI, and ask anything you want to know about global events, media coverage, countries, themes, or trends.

[Baselight @BaselightDB]

What does the world look like in 2026 - by the numbers?

The GDELT Events Dataset has been tracking every major news event globally, every 15 minutes. Here's what 2026 looks like so far:
15.7 million events recorded in just 5 months
62% of events are cooperative - but tone is still negative
March 2026 was the most conflict-heavy month of the year
🇺🇸 The US is the most-covered country - 1 in 3 global events
🇮🇷🇮🇱 Iran & Israel both crack the global top 5

Some curiosities regarding Top 10 GDP Nations:
🇺🇸 USA scores the most negative tone in the dataset - every single month. Not one big crisis. Just relentless volume.

🇯🇵 Japan is the only country to go positive - thanks entirely to a single Toyota CEO story in February.

🇫🇷 France improved in May - but only because previous months had kidnappings, firefighter strikes, and a judge scolding Shia LaBeouf. The bar was low.

This isn't just data. It's the pulse of the planet.

Explore it on Baselight: @gdelt.events_v2

[Baselight @BaselightDB]

Links to the two new datasets now live on Baselight:

CISA Known Exploited Vulnerabilities
https://t.co/K7NMAvWOTQ

GDELT Events v2
https://t.co/ryWQ0U3fh1

[Baselight @BaselightDB]

What do actively exploited cyber vulnerabilities and real-time global news events have in common? They’re both now queryable on Baselight.

CISA Known Exploited Vulnerabilities
- A real-world cyber risk feed: vulnerabilities the U.S. government confirms are actively exploited in the wild.
- Now queryable, joinable with NIST NVD, and ready for exposure analysis, remediation tracking, and security agents.

GDELT Events
- A global event intelligence feed: news from 100+ languages, scanned every 15 minutes and converted into structured events.
- Who did what, where, to whom: with geography, sentiment, and conflict/cooperation signals.

Baselight now stands at:
505,217,114,364 rows
476,697 tables
76,488 datasets

From cyber risk to global events, Baselight keeps turning the world’s structured data into something humans and agents can query.

[Baselight @BaselightDB]

Link to the May 22 Baselight Daily Insight - two days before the final - where the odds divergence around Torreense was flagged: https://t.co/TUAhZzWY5b

[Baselight @BaselightDB]

Everyone saw the upset after the final whistle. Baselight had already spotted something unusual days earlier.

Baselight Daily Insights are produced by fully autonomous agents that query our verified structured data every day to find anomalies, outliers, inflection points, and signals worth human attention.

Today they flagged Torreense’s shock Taça de Portugal final win over Sporting CP as a major outlier: a second-division side winning 2–1 after extra time, despite Sporting being priced around 1.16 and Torreense around 14.5.

But the more interesting signal came days earlier.

On May 22, Baselight flagged unusual odds divergence around Torreense: Betano priced the win at 32.0, while market consensus was around 17.19 - an 86%+ divergence.

Baselight did not “predict the upset”.

It surfaced a market anomaly that deserved human review: a possible stale price, model disagreement, or risk miscalculation.

That is the goal: autonomous agents turning verified structured data into explainable, auditable signals before they become obvious.

Link to the May 22 insight in the comments.

[Baselight @BaselightDB]

Baselight weekly update 🚀 - after crossing half a trillion rows last week, this week the most interesting signal is breadth.

Baselight now includes:
. 504,714,444,290 rows (+4B rows this week)
. 476,442 tables (+15K tables this week)
. 76,438 datasets (+5K datasets this week)

We’re now getting close to two nice round milestones:
500K tables
80K datasets

That matters because the real value of a universal data platform is not only scale.

It’s coverage.

More tables means more analytical surfaces.
More datasets means more domains, more sources, more context, and more ways for humans and AI agents to connect signals across the world’s structured data.

We also added new sources this week, including NIST NVD, bringing cybersecurity vulnerability data into the catalog.

But the bigger story is momentum:
Baselight is becoming a broader, richer structured data layer every week.

[Baselight @BaselightDB]

Here is the Baselight query behind the chart, including the weekly CVE severity breakdown from 2024 to 2026:
https://t.co/K3tHao0LIf

[Baselight @BaselightDB]

Cybersecurity data is accelerating fast.

Baselight now includes NIST NVD data, and the latest numbers are striking:
The week of May 11, 2026 saw 1,889 CVEs published in a single week - the highest 7-day total ever recorded in the NIST National Vulnerability Database.

And we all know what is driving part of this: GenAI is getting very good at finding vulnerabilities.

📊 Jan avg: ~1,094/week
📊 Feb avg: ~1,198/week
📊 Mar avg: ~1,435/week
📊 Apr avg: ~1,344/week
📊 May so far: ~1,749/week

With NVD now in Baselight, CVEs become structured, queryable data that can be correlated with almost 500K tables and 500B+ rows across all knowledge domains.

That is the real power: not just tracking vulnerabilities, but connecting them to the wider world of structured data.

[Baselight @BaselightDB]

Huge week for Baselight - we’ve just crossed a major milestone:
500,142,351,951 rows of data.

That’s half a trillion rows now available through Baselight.

This week alone we added 17B rows.

Baselight now includes:
- 500,142,351,951 rows
- 461,563 tables
- 71,591 datasets

And we added two exciting new sources:
OpenSanctions: including OFAC, EU Consolidated Sanctions, UN Security Council, and national sanctions lists - plus Politically Exposed Persons (PEPs) registries from 60+ countries.

Government of Canada Open Portal: from immigration & permanent resident trends, public health & opioid treatment archives, employment equity & public service workforce stats, to infrastructure data like highways, wastewater plants, and child care maps.

Baselight is steadily becoming the place where public data from every domain comes together: searchable, queryable, and ready for humans and AI agents.

Half a trillion rows down. Much more to come.