Turn questions into insights instantly with AI and billions of rows of data on crypto, sports, and everything in between📊
Keep everything secure and auditable while expanding what your team can discover.
Keep everything secure and auditable while expanding what your team can discover.
It can diagnose your errors, suggest improvements, correct the code, and rerun it all for you. Take a look below!
It can diagnose your errors, suggest improvements, correct the code, and rerun it all for you. Take a look below!
See how we are bridging AI and truth 👇
https://baselight.ai/why-inference-time-data-is-the-future-of-accurate-intelligence/
See how we are bridging AI and truth 👇
https://baselight.ai/why-inference-time-data-is-the-future-of-accurate-intelligence/
Here’s this week’s data update:
• Rows: 292,209,473,330 (+26B)
• Tables: 306,25 (+140)
• Datasets: 57,116 (+53)
• Storage: 39.2 TB (+5 TB)
That’s 290B+ rows of data ready for querying, charting, and AI.
Here’s this week’s data update:
• Rows: 292,209,473,330 (+26B)
• Tables: 306,25 (+140)
• Datasets: 57,116 (+53)
• Storage: 39.2 TB (+5 TB)
That’s 290B+ rows of data ready for querying, charting, and AI.
Rows: 266,772,999,318 (+7B)
Tables: 306,065 (+3K)
Datasets: 57,063 (+1K)
Storage: 34.2 TB (+2.2TB)
Rows: 266,772,999,318 (+7B)
Tables: 306,065 (+3K)
Datasets: 57,063 (+1K)
Storage: 34.2 TB (+2.2TB)
You can solve that today by connecting to our MCP server. Time to upgrade your AI results by grounding them in real, structured data.
You can solve that today by connecting to our MCP server. Time to upgrade your AI results by grounding them in real, structured data.
Now sprinting toward 300B.
This week:
• 259,352,999,980 rows (+15B)
• 302,646 tables (+5K)
• 55,928 datasets (+3K)
• 32 TB storage (+3.4TB)
Baselight keeps eating data for breakfast! 🥓 🧇 🥞
Now sprinting toward 300B.
This week:
• 259,352,999,980 rows (+15B)
• 302,646 tables (+5K)
• 55,928 datasets (+3K)
• 32 TB storage (+3.4TB)
Baselight keeps eating data for breakfast! 🥓 🧇 🥞
Our CTO Alfonso de la Rocha will be at Zebu Live to pitch our vision of a universal hub for structured data and how we’re supercharging LLMs with it.
Stop by, say hi, and let’s talk data x AI.
Our CTO Alfonso de la Rocha will be at Zebu Live to pitch our vision of a universal hub for structured data and how we’re supercharging LLMs with it.
Stop by, say hi, and let’s talk data x AI.
• Datasets: 52,821 (▲ +30)
• Tables: 297,542 (▲ +72)
• Rows: 243,779,762,400 (▲ +11B)
• Storage: 28.6 TB (▲ +2.8 TB)
New big additions:
• FRED: clean macro time series from the St. Luis Fed
• Doma Testnet: trader-first domain listings and offer data from a new DomainFi network
• Datasets: 52,821 (▲ +30)
• Tables: 297,542 (▲ +72)
• Rows: 243,779,762,400 (▲ +11B)
• Storage: 28.6 TB (▲ +2.8 TB)
New big additions:
• FRED: clean macro time series from the St. Luis Fed
• Doma Testnet: trader-first domain listings and offer data from a new DomainFi network
Don’t mind us, just making room for bAI
Don’t mind us, just making room for bAI
You know what isn't annoying when using LLMs? Baselight's MCP server.
Structured data analysis limits hallucinations and gives you real facts. Take at our MCP docs below 👇
https://baselight.ai/docs/connecting-to-the-baselight-mcp-server/
You know what isn't annoying when using LLMs? Baselight's MCP server.
Structured data analysis limits hallucinations and gives you real facts. Take at our MCP docs below 👇
https://baselight.ai/docs/connecting-to-the-baselight-mcp-server/
• 232,012,235,812 Rows (▲ +22 B)
• 297,470 Tables (▲ +42)
• 52,791 Datasets (▲ +16)
• 25.8 TB Storage (▲ +3 TB)
Dig in. The data’s fresh.
• 232,012,235,812 Rows (▲ +22 B)
• 297,470 Tables (▲ +42)
• 52,791 Datasets (▲ +16)
• 25.8 TB Storage (▲ +3 TB)
Dig in. The data’s fresh.
Institutional-grade data is now programmable.
So what does this mean? 🧵
Institutional-grade data is now programmable.
So what does this mean? 🧵
• Faster load times
• New data catalog
• Quota system incoming
• bAI going from prompt to insight in seconds
Catch up on everything in the latest Letters from the CTO 👇
https://baselight.ai/making-baselight-go-fast/
• Faster load times
• New data catalog
• Quota system incoming
• bAI going from prompt to insight in seconds
Catch up on everything in the latest Letters from the CTO 👇
https://baselight.ai/making-baselight-go-fast/
This week on Baselight:
• 202,120,878,979 rows (+22B)
• 297,348 tables (+283)
• 52,744 datasets (+220)
• 21 TB storage used (+1.4 TB)
More data, more insights. What will you build?
This week on Baselight:
• 202,120,878,979 rows (+22B)
• 297,348 tables (+283)
• 52,744 datasets (+220)
• 21 TB storage used (+1.4 TB)
More data, more insights. What will you build?
We've got you 👇
https://baselight.app/u/blt/dataset/ultimate_soccer_dataset
We've got you 👇
https://baselight.app/u/blt/dataset/ultimate_soccer_dataset
From new limits and metering tools to chart upgrades and public query browsing, the latest Letters from the CTO has it all.
Catch up here 👇
https://baselight.ai/improvements-across-the-board/
From new limits and metering tools to chart upgrades and public query browsing, the latest Letters from the CTO has it all.
Catch up here 👇
https://baselight.ai/improvements-across-the-board/
On Baselight, dashboards are built mobile first so you can track stablecoins, APRs, and liquidity flows without tilting your phone like you’re cracking a safe.
Insights > finger yoga
On Baselight, dashboards are built mobile first so you can track stablecoins, APRs, and liquidity flows without tilting your phone like you’re cracking a safe.
Insights > finger yoga
Baselight by the numbers this week:
• 180,500,492,728 rows
• 297,309 tables
• 52,725 datasets
• 19.6 TB storage
+16B rows in a week. We’re just getting started.
Tap in 👇
Baselight by the numbers this week:
• 180,500,492,728 rows
• 297,309 tables
• 52,725 datasets
• 19.6 TB storage
+16B rows in a week. We’re just getting started.
Tap in 👇
As of Sept 13:
• 85.9M RLUSD issued (no change)
• 35,383 holders (+207 vs last week)
• 182 AMMs (+8 vs last week)
https://baselight.app/u/elreydetent/dashboard/ripple-usd-on-the-xrp-ledger
As of Sept 13:
• 85.9M RLUSD issued (no change)
• 35,383 holders (+207 vs last week)
• 182 AMMs (+8 vs last week)
https://baselight.app/u/elreydetent/dashboard/ripple-usd-on-the-xrp-ledger
Want to take a look at your favorite leagues? Give Baselight a try today!
https://baselight.app/u/pjsousa/dashboard/premier-league-insights-2015-present
Want to take a look at your favorite leagues? Give Baselight a try today!
https://baselight.app/u/pjsousa/dashboard/premier-league-insights-2015-present
Shout out to XRPScan for providing the data!
https://baselight.app/u/elreydetent/dashboard/ripple-usd-on-the-xrp-ledger
Shout out to XRPScan for providing the data!
https://baselight.app/u/elreydetent/dashboard/ripple-usd-on-the-xrp-ledger