Eternis
Official@eternisai
We're an applied AI lab focused on personal AI and open networks / governance.
Agent Skills by Eternis
Showing 14 vetted skills indexed across 1 GitHub repositories.
EternisAIsemantic-scholar
Retrieve scholarly papers, authors, citations, and recommendations from Semantic Scholar via the S2 API.
EternisAIfred
Fetch macroeconomic series data from the FRED proxy.
EternisAIfinancial-data
Fetch real-time and historical market data via the Massive Python SDK.
EternisAIhf-daily-papers
Fetch and search Hugging Face AI research papers with metadata and summaries.
EternisAIfinnhub
Fetch consolidated Finnhub stock fundamentals and estimates via a proxy-based Python SDK.
EternisAIunusual-whales
Query unusual options flow and market data through a backend proxy.
EternisAIcourtlistener
Search federal court dockets and filings by company name, case name, or keywords.
EternisAIsec-api
Retrieve SEC filings and convert XBRL data to JSON via proxy endpoints.
EternisAInih-reporter
Fetch and analyze NIH SBIR/STTR grant data via the NIH Reporter API.
EternisAIcftc
Analyze CFTC COT data to compute net positions and open interest.
EternisAItaddy
Query the Taddy podcast database for podcasts, episodes, transcripts, and top charts.
EternisAIusaspending
Query the USASpending.gov public API for grants, contracts, and SBIR awards.
EternisAIdefillama
Fetch DeFi protocol TVL, stablecoins, yields, and fees from DefiLlama API.
EternisAInsf-awards
Search NSF grant awards via the NSF Awards API for funding opportunities.
Frequently Asked Questions About Eternis
FAQPage SchemaWhat specific data sources are accessible through these integrations?▼
These integrations provide direct access to SEC filings, Finnhub market fundamentals, FRED macroeconomic series, Unusual Whales options flow, DefiLlama protocol metrics, NIH and NSF grant databases, CourtListener legal dockets, and Semantic Scholar research papers.
Which professional personas benefit most from these data retrieval capabilities?▼
Quantitative researchers, financial analysts, grant writers, and legal investigators benefit from these capabilities. The infrastructure is designed for professionals requiring structured, programmatic access to high-fidelity public datasets for market analysis, funding discovery, and academic literature review.
What are the prerequisites for implementing these data retrieval modules?▼
Implementation requires an environment capable of executing proxy-based requests to the Eternis infrastructure. Users must manage individual authentication tokens for specific third-party providers where applicable, ensuring network connectivity to the proxy endpoints that normalize the underlying data into structured JSON formats.