Kukun opens permits API for real estate underwriting and AI
By AI, Created 11:51 PM UTC, May 29, 2026, /AGP/ – Kukun said June 2 it has launched the general availability version of its Permits API, giving lenders, insurers, real estate platforms and AI developers direct access to a normalized U.S. permit dataset spanning 750 million records. The company says the API is meant to make building permits a standard input for underwriting, valuation and property AI workflows.
Why it matters: - Kukun is trying to make building permits a default data layer for underwriting, valuation, insurance and real estate AI. - The API is built to expose a national permit signal that can show what has actually been done to a property before downstream risk or value changes show up elsewhere. - The launch expands access to a dataset Kukun says already supports production workflows at major banks, mortgage lenders, insurance carriers and real estate data platforms.
What happened: - Kukun announced the general availability of Kukun Permits API v1 on June 2, 2026. - The API provides programmatic access to 750 million normalized U.S. building permits across 57 million parcels and 2,400+ jurisdictions in all 50 states. - Kukun said the dataset is refreshed daily. - The API is aimed at lenders, insurers, valuation platforms, real estate technology companies and AI developers. - The product includes full-text search, multi-dimensional filtering and geo-distance queries on permit records tied to individual properties.
The details: - The permit corpus includes sub-permit enrichment that Kukun says surfaces about 40% more major residential activity than raw municipal feeds. - The API supports search across permit descriptions. - Users can filter by status, label, address, city, state, ZIP, county and jurisdiction. - The API returns daily-refreshed permit history at the parcel level. - The system replenishes cost data for roughly 50% of U.S. permits that arrive without contractor-declared values. - Kukun fills those gaps using its labeled taxonomy and proprietary ARVE renovation cost dataset. - The API includes a normalized taxonomy of 25+ project categories. - Technical access is based on standard REST, bearer-token authentication and JSON responses.
Between the lines: - Kukun is positioning permits as the earliest and most consistent signal in residential property data, which could improve underwriting and model accuracy when municipal records are fragmented. - The launch also broadens Kukun’s pitch beyond data licensing into infrastructure for AI developers building property workflows. - Kukun’s core thesis is that normalization and enrichment matter as much as raw permit volume, especially when separate municipal filings obscure the full project picture. - Raf Howery, Kukun’s CEO, said permits should be a standard input for any company underwriting, insuring, valuing or building AI for U.S. residential property. - Howery said Kukun has the only national enriched, query-ready permit dataset at this scale and that no other feed matches its sub-permit enrichment.
What’s next: - Kukun said a Model Context Protocol server is in active development. - The MCP layer is intended to let AI agents and frameworks such as Claude, ChatGPT, Cursor and LangChain call the property state graph natively. - Kukun says API access is available through api@mykukun.com and sales@mykukun.com, with a developer portal at portal.mykukun.com. - Kukun’s LinkedIn page is here.
The bottom line: - Kukun is turning permit data into infrastructure, not just a search tool, and betting that cleaner property records will become foundational to real estate underwriting and AI.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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