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CData has launched an AI gateway for agents that routes requests, enforces policies, and maintains a context graph to preserve enterprise knowledge across model changes.
The UN System Data Commons is an open-source, AI-ready platform launched by Google and the UN that integrates global statistics into a single searchable resource, enabling natural language queries for easier data exploration.
This paper presents a self-demonstration-driven approach for schema-ontology mapping using LLMs, combining neuro-symbolic task decomposition to achieve state-of-the-art performance on the RODI benchmark.
A developer describes building an agent stack that connects six customer data sources and maps records onto shared entities to automatically route changes to the right team, arguing that entity resolution and routing create more value than retrieval alone. The system proposes cross-system updates while maintaining permissions and human approvals as trust boundaries.
SocialCrawl is an API designed to help AI agents access live social and web data from various platforms. PRISM, a new set of endpoints, merges search results from multiple sources to support workflows like brand monitoring and sentiment analysis.
MCP-Builder.ai is a tool that quickly connects your data with AI tools.
A domestic plugin integrates 59 data services and over 1,000 interfaces, allowing direct calls from AI agents like Codex and Claude Code without the need to write crawlers or APIs, used for automated data acquisition and business opportunity discovery.
This paper shares three practical lessons from building and evaluating a self-serve entity resolution pipeline on six benchmarks: no single matching algorithm wins everywhere, precision and recall require separate fixes, and false-positive links can chain-merge unrelated entities.
The article argues that the difficulty of writing sprint reviews is actually a data join problem across multiple tools, not a writing problem, and presents Runner as a tool that connects 50+ apps to automate context pulling and draft creation.
Anthropic's Claude Science desktop application focuses on solving the digital grunt work in scientists' daily research, such as data integration and supercomputer scheduling, rather than pursuing a grand-narrative AI scientist. It lowers the barrier to scientific computing through a natural language interface.
This article discusses the growing need for a web data infrastructure layer to provide AI models with fresh, real-time, and trustworthy data, highlighting challenges like static training data and the importance of retrieval-augmented generation.
CQL is an open-source tool that uses category theory to perform database operations such as querying, migrating, and integrating data with built-in correctness guarantees through theorem proving.
Manus AI introduces a connector for Similarweb's market intelligence data via MCP, enabling automated competitive research and presentation generation from natural language prompts.
BLINKG is a benchmark designed to evaluate the mapping capabilities of Large Language Models (LLMs) in constructing Knowledge Graphs from heterogeneous data sources. It provides a standardized framework to assess how effectively LLMs establish correspondences between data schemas and ontology concepts.
Databox MCP enables users to chat with their business data inside AI assistants like Claude and ChatGPT.
Manus AI has upgraded its integration with Similarweb, allowing users to access richer web intelligence and understand growth drivers.
The paper presents Prometheus, a framework that uses large language models to extract local causal claims from text and organizes them into navigable causal atlases, enabling deep causal research across diverse domains.
Mirage is a unified virtual file system for AI agents that maps disparate data sources (S3, Google Workspace, Slack, GitHub, etc.) into a single filesystem, allowing agents to use standard Unix/bash commands across all integrations without learning multiple APIs.
Simon Willison shares techniques for fetching data from Datasette into Google Sheets using SQL functions, including importdata(), named functions, and Google Apps Script methods with API token support.
Emily Prince, Group Head of AI at LSEG, shared her 'AI Everywhere' strategy at an OpenAI customer event. By leveraging OpenAI's Model Context Protocol (MCP), she integrates 33PB of trusted data into workflows, striking a balance between speed and governance, driving AI transformation both internally and for clients.