<?xml version="1.0" encoding="UTF-8" standalone="no"?><rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" version="2.0">

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	<title>MetalMiner</title>
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	<link>https://agmetalminer.com</link>
	<description>Sourcing and Trading Intelligence for Global Metal Markets</description>
	<lastBuildDate>Wed, 26 Aug 2026 13:15:10 +0000</lastBuildDate>
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		<title>Aluminum MCP Servers: LME, Premiums, and Alloy Intelligence</title>
		<link>https://agmetalminer.com/2026/08/25/mcp-aluminum-prices/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Tue, 25 Aug 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Exchange Traded Funds]]></category>
		<category><![CDATA[Non-ferrous Metals]]></category>
		<category><![CDATA[aluminum prices]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=197314</guid>

					<description><![CDATA[<img width="300" height="129" src="https://agmetalminer.com/wp-content/uploads/2026/08/AluminumIngots-300x129.png" class="webfeedsFeaturedVisual wp-post-image" alt="aluminum prices" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/08/AluminumIngots-300x129.png 300w, https://agmetalminer.com/wp-content/uploads/2026/08/AluminumIngots-768x329.png 768w, https://agmetalminer.com/wp-content/uploads/2026/08/AluminumIngots-800x343.png 800w, https://agmetalminer.com/wp-content/uploads/2026/08/AluminumIngots.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="Aluminum MCP Servers: LME, Premiums, and Alloy Intelligence 1">Aluminum prices and purchasing decisions rarely start and end with an exchange print. Companies need to know what aluminum costs at the relevant commercial point:  MetalMiner’s aluminum MCP server returns those components as separate structured values. An AI agent can then build a delivered aluminum cost instead of mistaking a benchmark for an invoice-equivalent number. [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>How to Build an AI Workflow Around Metal Prices, Forecasts and Buying Signals</title>
		<link>https://agmetalminer.com/2026/08/17/ai-workflow/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Mon, 17 Aug 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Industry News]]></category>
		<category><![CDATA[Carbon Steel]]></category>
		<category><![CDATA[Stainless Steel]]></category>
		<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Copper]]></category>
		<category><![CDATA[nickel]]></category>
		<category><![CDATA[steel]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=197100</guid>

					<description><![CDATA[<img width="300" height="164" src="https://agmetalminer.com/wp-content/uploads/2026/06/Supply-Chain-300x164.png" class="webfeedsFeaturedVisual wp-post-image" alt="Metal prices" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/06/Supply-Chain-300x164.png 300w, https://agmetalminer.com/wp-content/uploads/2026/06/Supply-Chain-768x419.png 768w, https://agmetalminer.com/wp-content/uploads/2026/06/Supply-Chain-800x436.png 800w, https://agmetalminer.com/wp-content/uploads/2026/06/Supply-Chain.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="How to Build an AI Workflow Around Metal Prices, Forecasts and Buying Signals 2">An effective AI workflow around industrial metal prices does not begin with AI. It begins with identifying the commercial exposure. Before an AI system can interpret price movements, evaluate a supplier quote, summarize a forecast, or trigger an alert, it needs to know exactly what the organization buys and how those purchases are priced. That [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Why AI Hallucinates Metal Prices Without an MCP Server</title>
		<link>https://agmetalminer.com/2026/08/10/ai-data-integration/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Mon, 10 Aug 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Exchange Traded Funds]]></category>
		<category><![CDATA[Investing Hedging]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=197073</guid>

					<description><![CDATA[<img width="300" height="175" src="https://agmetalminer.com/wp-content/uploads/2026/08/AI-Hallucination-300x175.png" class="webfeedsFeaturedVisual wp-post-image" alt="Ai Hallucination" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/08/AI-Hallucination-300x175.png 300w, https://agmetalminer.com/wp-content/uploads/2026/08/AI-Hallucination-768x449.png 768w, https://agmetalminer.com/wp-content/uploads/2026/08/AI-Hallucination-800x467.png 800w, https://agmetalminer.com/wp-content/uploads/2026/08/AI-Hallucination.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="Why AI Hallucinates Metal Prices Without an MCP Server 3">When a manufacturer has AI data integration and asks AI for “the copper price” or “the steel price,” the most harmful error is usually not only a fabricated number but also a real number attached to the wrong benchmark. In industrial metals, a model can return a plausible answer while quietly confusing: The answer may [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Why Generic AI Models Need Specialized Metal Pricing Data</title>
		<link>https://agmetalminer.com/2026/07/29/metals-market-intelligence-in-ai/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Wed, 29 Jul 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Metal Prices]]></category>
		<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Carbon Steel]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Ferrous Metals]]></category>
		<category><![CDATA[Metal Pricing]]></category>
		<category><![CDATA[Non-ferrous Metals]]></category>
		<category><![CDATA[Copper]]></category>
		<category><![CDATA[nickel]]></category>
		<category><![CDATA[steel]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196987</guid>

					<description><![CDATA[<img width="300" height="168" src="https://agmetalminer.com/wp-content/uploads/2026/07/Rolls-300x168.png" class="webfeedsFeaturedVisual wp-post-image" alt="rolls" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/07/Rolls-300x168.png 300w, https://agmetalminer.com/wp-content/uploads/2026/07/Rolls-768x430.png 768w, https://agmetalminer.com/wp-content/uploads/2026/07/Rolls-800x448.png 800w, https://agmetalminer.com/wp-content/uploads/2026/07/Rolls.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="Why Generic AI Models Need Specialized Metal Pricing Data 4">Industrial organizations do not buy &#8220;metal&#8221; or &#8220;metals market intelligence&#8221;. They buy a specific benchmark, product form, unit, regional basis, currency, and date. That distinction is where generic AI models begin to struggle. A large language model can produce a polished answer to a pricing question while omitting the commercial details that determine whether the [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>How Aclara Plans to Build a Rare Earth Supply Chain Without China by 2028</title>
		<link>https://agmetalminer.com/2026/07/21/aclara-rare-earth-metals/</link>
		
		<dc:creator><![CDATA[Christopher Rivituso]]></dc:creator>
		<pubDate>Tue, 21 Jul 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Global Trade]]></category>
		<category><![CDATA[Imports]]></category>
		<category><![CDATA[Manufacturing]]></category>
		<category><![CDATA[Supply & Demand]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[rare earths]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196889</guid>

					<description><![CDATA[<img width="300" height="187" src="https://agmetalminer.com/wp-content/uploads/2025/10/RareEarthsSemiconductor-300x187.png" class="webfeedsFeaturedVisual wp-post-image" alt="Rare earth" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2025/10/RareEarthsSemiconductor-300x187.png 300w, https://agmetalminer.com/wp-content/uploads/2025/10/RareEarthsSemiconductor-800x499.png 800w, https://agmetalminer.com/wp-content/uploads/2025/10/RareEarthsSemiconductor-768x479.png 768w, https://agmetalminer.com/wp-content/uploads/2025/10/RareEarthsSemiconductor.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="How Aclara Plans to Build a Rare Earth Supply Chain Without China by 2028 5">In a move to offset China&#8217;s monopoly on rare earth metals and export restrictions, Aclara Resources plans to commission upstream and downstream sites in the Americas by 2028 to produce those critical minerals. More specifically, the Toronto-listed company primarily aims to produce the heavy rare earths dysprosium and terbium (DyTb), as well as the light [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>How to Judge Forecast Performance in Metals: Setting up an MCP for Metal Prices</title>
		<link>https://agmetalminer.com/2026/07/14/mcp-for-metal-prices/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Tue, 14 Jul 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Carbon Steel]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Exchange Traded Funds]]></category>
		<category><![CDATA[Ferrous Metals]]></category>
		<category><![CDATA[Investing Hedging]]></category>
		<category><![CDATA[Metal Prices]]></category>
		<category><![CDATA[Metal Pricing]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196592</guid>

					<description><![CDATA[<img width="300" height="200" src="https://agmetalminer.com/wp-content/uploads/2024/07/BullsAndBears-300x200.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="insights sv, market signal" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2024/07/BullsAndBears-300x200.jpg 300w, https://agmetalminer.com/wp-content/uploads/2024/07/BullsAndBears-800x534.jpg 800w, https://agmetalminer.com/wp-content/uploads/2024/07/BullsAndBears-768x512.jpg 768w, https://agmetalminer.com/wp-content/uploads/2024/07/BullsAndBears.jpg 1000w" sizes="(max-width: 300px) 100vw, 300px" title="How to Judge Forecast Performance in Metals: Setting up an MCP for Metal Prices 6">Industrial metals intelligence is no longer consumed solely through reports and market dashboards. Now, companies can set up an MCP for metal prices (Model Context Protocol). Increasingly, proprietary metal prices, forecasts, and analytical models are retrieved directly by AI agents through APIs. That shift fundamentally changes how organizations should evaluate metal price forecasting.  A forecast [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>What Ideal Metal Price Forecasting Looks Like for Decision-Makers</title>
		<link>https://agmetalminer.com/2026/07/01/procurement-market-intelligence/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Wed, 01 Jul 2026 06:59:00 +0000</pubDate>
				<category><![CDATA[Industry News]]></category>
		<category><![CDATA[Carbon Steel]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Exchange Traded Funds]]></category>
		<category><![CDATA[Ferrous Metals]]></category>
		<category><![CDATA[Investing Hedging]]></category>
		<category><![CDATA[Metal Prices]]></category>
		<category><![CDATA[Metal Pricing]]></category>
		<category><![CDATA[Non-ferrous Metals]]></category>
		<category><![CDATA[Stainless Steel]]></category>
		<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Copper]]></category>
		<category><![CDATA[hedging]]></category>
		<category><![CDATA[nickel]]></category>
		<category><![CDATA[stainless steel]]></category>
		<category><![CDATA[steel]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196376</guid>

					<description><![CDATA[<img width="300" height="200" src="https://agmetalminer.com/wp-content/uploads/2026/03/Forecasting-300x200.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Decisions, procurement market intelligence" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/03/Forecasting-300x200.jpg 300w, https://agmetalminer.com/wp-content/uploads/2026/03/Forecasting-768x511.jpg 768w, https://agmetalminer.com/wp-content/uploads/2026/03/Forecasting-800x532.jpg 800w, https://agmetalminer.com/wp-content/uploads/2026/03/Forecasting.jpg 1000w" sizes="(max-width: 300px) 100vw, 300px" title="What Ideal Metal Price Forecasting Looks Like for Decision-Makers 7">When companies tell us they have a metal price forecasts, or procurement market intelligence, we ask a simple question: &#8220;A forecast of what, exactly?&#8221; A generic steel outlook or copper forecast may describe where the market appears to be heading, but it rarely answers the questions procurement and finance leaders actually need to answer. Those [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>From Noise to Action: How Leaders Turn Metal Market Signals into Supply Chain Decisions</title>
		<link>https://agmetalminer.com/2026/06/24/supply-chain-risk-management/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Wed, 24 Jun 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Industry News]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Global Trade]]></category>
		<category><![CDATA[Inventory Stock Levels]]></category>
		<category><![CDATA[Investing Hedging]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196304</guid>

					<description><![CDATA[<img width="300" height="167" src="https://agmetalminer.com/wp-content/uploads/2026/06/Metals-300x167.png" class="webfeedsFeaturedVisual wp-post-image" alt="Metals and metal prices" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/06/Metals-300x167.png 300w, https://agmetalminer.com/wp-content/uploads/2026/06/Metals-768x429.png 768w, https://agmetalminer.com/wp-content/uploads/2026/06/Metals-800x446.png 800w, https://agmetalminer.com/wp-content/uploads/2026/06/Metals.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="From Noise to Action: How Leaders Turn Metal Market Signals into Supply Chain Decisions 8">Most organizations do not struggle to access metal prices or even price forecasts. They struggle to decide what those price movements should trigger across procurement, finance, and supply chain risk management. Too often, markets are treated as background commentary. Procurement tracks prices, finance reacts to budget variance, and operations respond when suppliers reprice or lead [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Why Manufacturers in the Aluminum Market Feel More Pressure Than Benchmark Prices Suggest</title>
		<link>https://agmetalminer.com/2026/06/17/aluminum-market-pressure/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Wed, 17 Jun 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Exchange Traded Funds]]></category>
		<category><![CDATA[Investing Hedging]]></category>
		<category><![CDATA[Supply & Demand]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196242</guid>

					<description><![CDATA[<img width="300" height="200" src="https://agmetalminer.com/wp-content/uploads/2026/06/Aluminum-300x200.png" class="webfeedsFeaturedVisual wp-post-image" alt="Aluminum smelting" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/06/Aluminum-300x200.png 300w, https://agmetalminer.com/wp-content/uploads/2026/06/Aluminum-768x512.png 768w, https://agmetalminer.com/wp-content/uploads/2026/06/Aluminum-800x534.png 800w, https://agmetalminer.com/wp-content/uploads/2026/06/Aluminum.png 1000w" sizes="(max-width: 300px) 100vw, 300px" title="Why Manufacturers in the Aluminum Market Feel More Pressure Than Benchmark Prices Suggest 9">Manufacturers within the aluminum market do not have a simple exchange-price problem. They have a basis problem. MetalMiner&#8217;s latest data shows:&#160; For companies that consume physical aluminum rather than simply monitor exchange rates, the number that matters most is the combined LME-plus-premium basis. Viewed through that lens, the increase looks much larger. After converting LME aluminum [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Metal Price Volatility Isn’t the Risk, Being Unprepared Is</title>
		<link>https://agmetalminer.com/2026/06/08/metal-price-forecasting-discussion/</link>
		
		<dc:creator><![CDATA[The MetalMiner Team]]></dc:creator>
		<pubDate>Mon, 08 Jun 2026 06:00:00 +0000</pubDate>
				<category><![CDATA[Industry News]]></category>
		<category><![CDATA[Aluminum]]></category>
		<category><![CDATA[Carbon Steel]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[Ferrous Metals]]></category>
		<category><![CDATA[Investing Hedging]]></category>
		<category><![CDATA[Sourcing Strategies]]></category>
		<category><![CDATA[Copper]]></category>
		<category><![CDATA[hedging]]></category>
		<category><![CDATA[steel]]></category>
		<guid isPermaLink="false">https://agmetalminer.com/?p=196182</guid>

					<description><![CDATA[<img width="300" height="169" src="https://agmetalminer.com/wp-content/uploads/2026/06/1780075520964-300x169.png" class="webfeedsFeaturedVisual wp-post-image" alt="Hedging" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://agmetalminer.com/wp-content/uploads/2026/06/1780075520964-300x169.png 300w, https://agmetalminer.com/wp-content/uploads/2026/06/1780075520964-1024x576.png 1024w, https://agmetalminer.com/wp-content/uploads/2026/06/1780075520964-768x432.png 768w, https://agmetalminer.com/wp-content/uploads/2026/06/1780075520964-800x450.png 800w, https://agmetalminer.com/wp-content/uploads/2026/06/1780075520964.png 1279w" sizes="(max-width: 300px) 100vw, 300px" title="Metal Price Volatility Isn&#039;t the Risk, Being Unprepared Is 10">For steel, aluminum and copper buyers, the biggest risk in 2026 is not metal price volatility itself. It&#8217;s the metal price forecasting methods behind it. The bigger risk is being unprepared for how volatility affects budgets, supplier pricing, sourcing decisions, forecasting confidence and profit margins. Procurement teams cannot control tariffs, geopolitical instability, supplier behavior or [&#8230;]]]></description>
		
		
		
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