
AI Civic Data API
AICD API is a commercial civic-records API and MCP server that lets AI agents search Dallas–Fort Worth local-government meeting agendas, with each result linked back to its government source.
OpenAI Presence is an enterprise product for deploying trusted voice and chat AI agents across customer-facing and internal business workflows (billing, support, insurance claims, IT service), with company-set policies, guardrails, human escalation, and a Codex-powered improvement loop.
Announced July 2026, Presence pairs OpenAI's models with the policies, evaluations, guardrails, and deployment support enterprises need to run AI agents reliably in production, initially for voice and chat use cases like customer support and outbound sales. It's available only to eligible enterprise customers through a limited, OpenAI-led deployment program, not as a self-serve product, with early adopters including BBVA, SoftBank, and IAG.


AICD API is a commercial civic-records API and MCP server that lets AI agents search Dallas–Fort Worth local-government meeting agendas, with each result linked back to its government source.

Lancaster, California's AI permitting program is a city-run deployment of Labrynth's commercial permitting platform that uses agentic AI workflows to screen building permit applications automatically.

AI Senate is a free multi-agent AI simulation in which 100 AI "senators" debate news headlines and vote on them in a mock chamber that humans can only watch.

Send a U.S. street address; get back its 119th Congress district, its state legislative districts (upper and lower chamber) and the current officeholders for each, the state's current governor and other statewide executive officials, the mayor when the address is in one of the roughly 280 cities our source covers, plus the county, city or town, school districts and census tract that contain it, as JSON.

mta-mcp is an open-source MCP server from BetaNYC that lets an AI assistant answer one narrow NYC-transit question well, is the subway line you're recommending disrupted at a specific station on a specific future date, plus elevator/ADA status, drawing on the MTA's open service-alert feeds.