Data Sources Overview

Lomita includes 104 pre-built data sources across 8 domains — but this is just the starting point. AI agents can also search the internet for sources not in the catalog and connect your private data (CRM, ERP, APIs). See Connecting Your Own Data.

Categories

Macro & Economics (27 sources)

FRED series covering rates, yields, spreads, monetary policy, and economic indicators.

Source	What it measures	Update frequency
fred-dgs10	10-Year Treasury yield	Daily
fred-fedfunds	Federal funds rate	Daily
fred-sofr	Secured Overnight Financing Rate	Daily
fred-umcsent	University of Michigan Consumer Sentiment	Monthly
fred-vixcls	CBOE Volatility Index (VIX)	Daily
fred-dcoilwtico	Crude oil price (WTI)	Daily
fred-m2sl	M2 money supply	Weekly
fred-walcl	Fed balance sheet	Weekly
treasury-tga-balance	Treasury General Account	Daily
treasury-auction-results	Treasury bond auctions	As scheduled
bls-qcew-wages	Quarterly wages	Quarterly
census-retail-sales	Retail sales	Monthly

Full macro source list →

Sentiment & Markets (10 sources)

Reddit, Polymarket, and market sentiment indicators.

Source	What it measures
reddit-wallstreetbets	WSB post scores, engagement
reddit-retail-sentiment	Aggregated retail investor sentiment
reddit-stocks	r/stocks activity
reddit-investing	r/investing activity
polymarket-markets	Prediction market odds
alphavantage-sentiment	Market news sentiment
deribit-options	BTC/ETH options data

Energy (8 sources)

EIA, ERCOT, and energy market data.

Source	What it measures
eia-electricity-generation	US electricity generation
eia-petroleum-supply	Petroleum supply/demand
eia-steo-forecasts	Short-term energy outlook
ercot-settlement-prices	Texas electricity prices
ercot-rt-lmps	Real-time locational marginal prices

Frontier / DeFi (5 sources)

Crypto, DeFi, and emerging data.

Source	What it measures
defillama-tvl	Total value locked in DeFi
defillama-stablecoins	Stablecoin supply
coingecko-derivatives	Crypto derivatives data

Transportation (4 sources)

Traffic, flights, and border crossings.

Commodities (3 sources)

CFTC, USDA, and World Bank data.

Weather (4 sources)

NOAA, NWS, and weather data.

Real Estate (3 sources)

Google Places, MTA, and property data.

How discovery works

Your agent calls discover_sources("your keywords") to search the catalog:

Agent: discover_sources("consumer sentiment")
→ Returns: fred-umcsent, reddit-retail-sentiment, alphavantage-sentiment, ...

Each source includes:

Name and description
Data domain and tags
Update frequency
Whether credentials are required
Sample fields

Data format

Raw data is stored as JSON in s3://plantos-raw/{source}/{date}/
Transformed data is stored as Parquet in s3://plantos-analytics/marts/
Query both using analyze_data with SQL

Custom sources

You can upload your own data:

"Upload my portfolio CSV to the data lake"
→ upload_data("portfolio.csv")
→ Returns a presigned URL for upload

Or create custom Dagster assets for new API sources:

"Create a custom asset to scrape gold prices from the LBMA API"
→ propose_asset("gold_lbma_price", python_code, description)
→ Opens a PR for review

Lomita Documentation