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Spark (Spark AI) — Nationwide US county-grain permitting and entitlement dataset for solar, battery storage, data centers and other energy infrastructure: local zoning and planning codes, permit requirements, fees and agencies per jurisdiction, active and proposed moratoria, project dockets and agendas, plus a community-sentiment and local-opposition layer. Built by an automated crawl-extract-normalize-index-cite pipeline so every field carries a citation back to the source document, and continuously monitored so zoning or moratorium changes are detected as events rather than re-researched. E…
Datasets
1Nationwide US county-grain permitting and entitlement dataset for solar, battery storage, data centers and other energy infrastructure: local zoning and planning codes, permit requirements, fees and agencies per jurisdiction, active and proposed moratoria, project dockets and agendas, plus a community-sentiment and local-opposition layer. Built by an automated crawl-extract-normalize-index-cite pipeline so every field carries a citation back to the source document, and continuously monitored so zoning or moratorium changes are detected as events rather than re-researched
Scale 3From 2 yearsCoverage Information Technology · Utilities
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What buyers ask about Spark (Spark AI), answered from this page.
What does Spark (Spark AI) do?
Spark (Spark AI) — Nationwide US county-grain permitting and entitlement dataset for solar, battery storage, data centers and other energy infrastructure: local zoning and planning codes, permit requirements, fees and agencies per jurisdiction, active and proposed moratoria, project dockets and agendas, plus a community-sentiment and local-opposition layer. Built by an automated crawl-extract-normalize-index-cite pipeline so every field carries a citation back to the source document, and continuously monitored so zoning or moratorium changes are detected as events rather than re-researched. E…
What data does Spark (Spark AI) offer?
Spark (Spark AI) offers (Alternative, Geospatial, Supply Chain, Sentiment) — 3,000+ US counties under continuous monitoring as the stated coverage baseline, each carrying permit requirements, fees, agencies, zoning codes, moratorium status and a sentiment layer; plus per-jurisdiction document corpora (ordinances, agendas, dockets) with citations, and GIS parcel-level screening on top. A discrete permit-matrix product is sold per market, implying the underlying requirement grid is pre-built rather than researched per order.
What is Spark (Spark AI)'s data used for?
Site-selection and entitlement-probability models across the full US county universe; permitting-timeline forecasting as a feature set for development scheduling; permitting-risk and regulatory-change alpha for utilities and IPPs holding large development pipelines; data-center siting models driven by power and entitlement constraints; local-opposition and social-acceptance models for infrastructure; competitive pipeline intelligence for developers and their lenders; training data for document-extraction models over real planning documents; and a labelled change-event stream for models predicting where moratoria emerge next
How is Spark (Spark AI)'s data delivered?
The data is with 2 years of history.
What does Spark (Spark AI) cover?
Coverage spans US; Application Software, Electric Utilities; alternative, geospatial, supply_chain, sentiment; equities.
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