Purpose-built for AI assistants
Connections / Structure / ContextNYC’s public records live across separate systems, often with different names and identifiers. Akil gives your AI tools to connect related records and query the details, with source references attached.
Built for your AI to use.
Connect a compatible AI assistant through Akil MCP. Ask your question where you already work.Explore the tools ↓The Akil toolkit
Buildings. City Council. Lobbying. Schools. And the records between them.
NYC at the center, with related state and federal records. Coverage, reporting periods, and availability vary by tool and source.
How Akil helps your AI
The groundwork your assistant can build on.
An AI assistant needs more than a file to read. It needs a way to identify related records, query the details, and understand what the results mean. Akil is built for that work.
01 / Connections
Addresses, property identifiers, and geography help your assistant find related records across supported sources.
For example: start with an address, find the relevant tax-lot and building IDs, then query property and permit records.
02 / Structure
Prepared tools let your assistant filter records by place, period, or entity and work with structured results.
For example: query a building’s permits using its property identifier.
03 / Context
Source definitions, reporting periods, and interpretation notes help your AI distinguish measures and recognize gaps.
For example: separate a contract’s value from money actually paid.
Akil prepares the records. Your AI uses them to answer your question. Coverage and detail vary by source and tool.
How Akil prepares the data →Stories & explorations / AkilNYC
See what we make with the data Akil prepares for AI.
Compare enrollment at New York City Public Schools and charter schools from school year 2018–2019 to 2025–2026, by school, neighborhood, or district — with reported spending per student on each school page.
Explore boroughs, cuisines and other groups among restaurants that had their first inspection between January 2025 and August 2026.
Explore new restaurants ↗The spatial layer
Give your AI geographic context. Choose a boundary to see how it can query records within your part of NYC.
Work with us
Bring a question and an audience. We can work with your team on research, visual storytelling, or an interactive experience.
For government teams, nonprofits, and organizations with a question worth exploring.
Turn a scoped public-data question into findings your team can use.
Make the findings understandable through charts, writing, and social content.
Let readers explore the places, categories, or time periods that matter to them.
Behind the work
Useful AI answers depend on the records behind them. Akil includes source references and interpretation notes in supported tool responses, with coverage and matching limits that depend on the source and question.
AkilNYC is our publication. Opened NYC is its restaurant segment. Each published finding explains its sources, period, and limits.