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profit","\u002Fdocs\u002Fgrowth\u002Fads\u002Fcpas-profit","docs\u002F03.growth\u002F03.ads\u002F04.cpas-profit","i-material-symbols-hub-rounded",{"title":491,"draft":120,"path":492,"stem":493,"children":494,"icon":174},"Optimization groups","\u002Fdocs\u002Fgrowth\u002Foptimization-groups","docs\u002F03.growth\u002F04.optimization-groups\u002Findex",[495,496,501,506,511,516,520,525,530,535,540,545,549,554,559,564,569],{"title":119,"path":492,"stem":493,"draft":120,"icon":174},{"title":497,"path":498,"stem":499,"draft":120,"icon":500},"Planning your groups","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fplanning-your-groups","docs\u002F03.growth\u002F04.optimization-groups\u002F00.planning-your-groups","i-lucide-boxes",{"title":502,"path":503,"stem":504,"draft":120,"icon":505},"Creating a group","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fcreating-a-group","docs\u002F03.growth\u002F04.optimization-groups\u002F01.creating-a-group","i-lucide-plus",{"title":507,"path":508,"stem":509,"draft":120,"icon":510},"Global settings","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fglobal-settings","docs\u002F03.growth\u002F04.optimization-groups\u002F02.global-settings","i-lucide-settings-2",{"title":512,"path":513,"stem":514,"draft":120,"icon":515},"Budget and limits","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fbudget-and-limits","docs\u002F03.growth\u002F04.optimization-groups\u002F03.budget-and-limits","i-lucide-wallet",{"title":374,"path":517,"stem":518,"draft":120,"icon":519},"\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fgrowth","docs\u002F03.growth\u002F04.optimization-groups\u002F04.growth","i-lucide-trending-up",{"title":521,"path":522,"stem":523,"draft":120,"icon":524},"Choosing an objective","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fchoosing-an-objective","docs\u002F03.growth\u002F04.optimization-groups\u002F05.choosing-an-objective","i-lucide-target",{"title":526,"path":527,"stem":528,"draft":120,"icon":529},"Constraints","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fconstraints","docs\u002F03.growth\u002F04.optimization-groups\u002F06.constraints","i-lucide-shield-check",{"title":531,"path":532,"stem":533,"draft":120,"icon":534},"Distribution","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fallocation-preference","docs\u002F03.growth\u002F04.optimization-groups\u002F07.allocation-preference","i-lucide-sliders-horizontal",{"title":536,"path":537,"stem":538,"draft":120,"icon":539},"Pacing and rebalancing","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fpacing-and-rebalancing","docs\u002F03.growth\u002F04.optimization-groups\u002F08.pacing-and-rebalancing","i-lucide-clock",{"title":541,"path":542,"stem":543,"draft":120,"icon":544},"The month plan","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fmonthly-plan","docs\u002F03.growth\u002F04.optimization-groups\u002F09.monthly-plan","i-lucide-calendar-days",{"title":546,"path":547,"stem":548,"draft":120,"icon":539},"The Timeline schedule","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fschedule","docs\u002F03.growth\u002F04.optimization-groups\u002F10.schedule",{"title":550,"path":551,"stem":552,"draft":120,"icon":553},"Automation rules","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fautomation","docs\u002F03.growth\u002F04.optimization-groups\u002F11.automation","i-lucide-workflow",{"title":555,"path":556,"stem":557,"draft":120,"icon":558},"Managing campaigns in a group","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fmanaging-campaigns","docs\u002F03.growth\u002F04.optimization-groups\u002F12.managing-campaigns","i-lucide-list-checks",{"title":560,"path":561,"stem":562,"draft":120,"icon":563},"How the run works","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fdaily-run","docs\u002F03.growth\u002F04.optimization-groups\u002F13.daily-run","i-lucide-refresh-cw",{"title":565,"path":566,"stem":567,"draft":120,"icon":568},"When the ads model is updating","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fmodel-training","docs\u002F03.growth\u002F04.optimization-groups\u002F14.model-training","i-lucide-brain-circuit",{"title":570,"path":571,"stem":572,"draft":120,"icon":573},"Glossary","\u002Fdocs\u002Fgrowth\u002Foptimization-groups\u002Fglossary","docs\u002F03.growth\u002F04.optimization-groups\u002F16.glossary","i-lucide-book-a",{"title":575,"draft":120,"path":576,"stem":577,"children":578},"AI and API","\u002Fdocs\u002Fai-and-api","docs\u002F04.ai-and-api\u002Findex",[579,580,620],{"title":119,"path":576,"stem":577,"draft":120},{"title":43,"draft":120,"path":44,"stem":581,"children":582,"icon":584},"docs\u002F04.ai-and-api\u002F01.assistants\u002Findex",[583,585,590,595,600,605,610,615],{"title":119,"path":44,"stem":581,"draft":120,"icon":584},"i-material-symbols-smart-toy-rounded",{"title":586,"path":587,"stem":588,"draft":120,"icon":589},"Connect to ChatGPT","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fconnect-chatgpt","docs\u002F04.ai-and-api\u002F01.assistants\u002F01.connect-chatgpt","i-simple-icons-openai",{"title":591,"path":592,"stem":593,"draft":120,"icon":594},"Connect to Claude","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fconnect-claude","docs\u002F04.ai-and-api\u002F01.assistants\u002F02.connect-claude","i-simple-icons-claude",{"title":596,"path":597,"stem":598,"draft":120,"icon":599},"Native playbooks","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fplaybooks","docs\u002F04.ai-and-api\u002F01.assistants\u002F03.playbooks","i-material-symbols-route-rounded",{"title":601,"path":602,"stem":603,"draft":120,"icon":604},"Prompt library","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fprompt-library","docs\u002F04.ai-and-api\u002F01.assistants\u002F04.prompt-library","i-material-symbols-forum-rounded",{"title":606,"path":607,"stem":608,"draft":120,"icon":609},"MCP tool catalog","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Ftool-catalog","docs\u002F04.ai-and-api\u002F01.assistants\u002F05.tool-catalog","i-material-symbols-build-rounded",{"title":611,"path":612,"stem":613,"draft":120,"icon":614},"Permissions and safety","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fusage-and-safety","docs\u002F04.ai-and-api\u002F01.assistants\u002F06.usage-and-safety","i-material-symbols-health-and-safety-rounded",{"title":616,"path":617,"stem":618,"draft":120,"icon":619},"Worked MCP examples","\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fworked-examples","docs\u002F04.ai-and-api\u002F01.assistants\u002F07.worked-examples","i-material-symbols-menu-book-rounded",{"title":46,"draft":120,"path":621,"stem":622,"children":623,"page":120},"\u002Fdocs\u002Fai-and-api\u002Fapi","docs\u002F04.ai-and-api\u002F02.api",[624,628,633,638,643,648],{"title":625,"path":47,"stem":626,"draft":120,"icon":627},"Getting started","docs\u002F04.ai-and-api\u002F02.api\u002F01.getting-started","i-material-symbols-key-rounded",{"title":629,"path":630,"stem":631,"draft":120,"icon":632},"API security & limits","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Fsecurity","docs\u002F04.ai-and-api\u002F02.api\u002F02.security","i-material-symbols-verified-user-rounded",{"title":634,"path":635,"stem":636,"draft":120,"icon":637},"Endpoints: products & orders","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Fproducts-and-orders","docs\u002F04.ai-and-api\u002F02.api\u002F03.products-and-orders","i-material-symbols-package-2-rounded",{"title":639,"path":640,"stem":641,"draft":120,"icon":642},"Endpoints: financial breakdown","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Ffinancial-breakdown","docs\u002F04.ai-and-api\u002F02.api\u002F04.financial-breakdown","i-material-symbols-account-balance-rounded",{"title":644,"path":645,"stem":646,"draft":120,"icon":647},"Endpoints: raw platform data","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Fplatform-data","docs\u002F04.ai-and-api\u002F02.api\u002F05.platform-data","i-material-symbols-database-rounded",{"title":649,"path":650,"stem":651,"draft":120,"icon":652},"Endpoints: Actions & recommendations","\u002Fdocs\u002Fai-and-api\u002Fapi\u002Frecommendations","docs\u002F04.ai-and-api\u002F02.api\u002F06.recommendations","i-material-symbols-recommend-rounded",{"title":654,"draft":120,"path":655,"stem":656,"children":657},"Administration","\u002Fdocs\u002Fadministration","docs\u002F05.administration\u002Findex",[658,659,679],{"title":119,"path":655,"stem":656,"draft":120},{"title":660,"draft":120,"path":661,"stem":662,"children":663,"page":120},"Team and access","\u002Fdocs\u002Fadministration\u002Fteam-and-access","docs\u002F05.administration\u002F01.team-and-access",[664,669,674],{"title":665,"path":666,"stem":667,"draft":120,"icon":668},"Team & roles","\u002Fdocs\u002Fadministration\u002Fteam-and-access\u002Fteam-and-roles","docs\u002F05.administration\u002F01.team-and-access\u002F01.team-and-roles","i-material-symbols-group-rounded",{"title":670,"path":671,"stem":672,"draft":120,"icon":673},"Adding teammates","\u002Fdocs\u002Fadministration\u002Fteam-and-access\u002Fadding-teammates","docs\u002F05.administration\u002F01.team-and-access\u002F02.adding-teammates","i-material-symbols-person-add-rounded",{"title":675,"path":676,"stem":677,"draft":120,"icon":678},"Managing access","\u002Fdocs\u002Fadministration\u002Fteam-and-access\u002Fmanaging-access","docs\u002F05.administration\u002F01.team-and-access\u002F03.managing-access","i-material-symbols-admin-panel-settings-rounded",{"title":680,"draft":120,"path":681,"stem":682,"children":683,"page":120},"Account","\u002Fdocs\u002Fadministration\u002Faccount","docs\u002F05.administration\u002F02.account",[684,686],{"title":49,"path":50,"stem":685,"draft":120,"icon":489},"docs\u002F05.administration\u002F02.account\u002F01.open-platform",{"title":687,"path":688,"stem":689,"draft":120,"icon":362},"VAT","\u002Fdocs\u002Fadministration\u002Faccount\u002Fvat","docs\u002F05.administration\u002F02.account\u002F02.vat",{"id":691,"title":43,"body":692,"description":901,"draft":120,"draftReason":902,"extension":903,"layout":902,"meta":904,"navigation":905,"path":44,"platforms":902,"rawbody":906,"seo":907,"stem":581,"__hash__":908},"docs_en\u002Fdocs\u002F04.ai-and-api\u002F01.assistants\u002Findex.md",{"type":693,"value":694,"toc":889},"minimark",[695,699,702,714,717,722,725,728,732,767,771,792,796,829,832,836,839,845,858,862,872,875,879],[696,697,698],"p",{},"DataGlass exposes a secure Model Context Protocol (MCP) server for your connected shops. It gives compatible AI assistants a structured way to analyze normalized Shopee, Lazada, and TikTok Shop data — and, when you approve a write scope, to act on it. Instead of pasting exports into a chat, you can ask a business question and let the assistant discover the authorized shop, retrieve the smallest useful dataset, and explain the result with the right financial context.",[696,700,701],{},"The connector is designed for decisions, not raw data dumping. Its tools distinguish realized profit from payout, headline ROAS from True ROAS, and explicit COGS from inferred costs. Eleven native playbooks describe reliable tool sequences for common investigations such as a profit decline, weak ads, low-margin products, and inventory planning.",[703,704],"mcp-quickstart",{"chatgpt-label":705,"claude-label":706,"copied-label":8,"copy-label":707,"description":708,"endpoint-label":709,"platforms-label":710,"playbooks-label":711,"title":712,"tools-label":713},"Connect ChatGPT","Connect Claude","Copy","Add the production MCP endpoint to your assistant, sign in with DataGlass, and choose what it may access. A new connector is read-only until you approve a write scope.","Production MCP endpoint","platforms","playbooks","Connect once. Ask in plain language.","tools",[696,715,716],{},"The surface is 568 tools across three marketplaces, 263 of which can write. Nothing writes until you grant that domain a scope.",[718,719,721],"h2",{"id":720},"try-an-interactive-example","Try an interactive example",[696,723,724],{},"Choose a marketplace and business goal below. The lab writes a precise prompt, shows the tools an assistant should call in order, and generates an illustrative answer. It runs entirely in your browser and never connects to your DataGlass account.",[726,727],"mcp-prompt-lab",{},[718,729,731],{"id":730},"how-a-question-becomes-an-answer","How a question becomes an answer",[733,734,735,743,749,755,761],"ol",{},[736,737,738,742],"li",{},[739,740,741],"strong",{},"Resolve scope."," The assistant discovers the shop identifier and region available to the signed-in account. It never guesses a shop ID.",[736,744,745,748],{},[739,746,747],{},"Start with a summary."," Broad questions begin with a compact health, financial, campaign, or inventory result rather than downloading every row.",[736,750,751,754],{},[739,752,753],{},"Follow evidence."," The assistant drills into product, cost, campaign, order, or settlement detail only when a signal supports it.",[736,756,757,760],{},[739,758,759],{},"Explain the decision."," A good answer leads with the conclusion, shows the most important numbers, states dates and currency, and labels uncertainty.",[736,762,763,766],{},[739,764,765],{},"Ask before acting."," If the next step is a write, the assistant names the tool and the exact change, and waits for your go-ahead. Your assistant prompts you too, because DataGlass flags every mutating tool as destructive.",[718,768,770],{"id":769},"choose-an-ai-assistant-guide","Choose an AI assistant guide",[772,773,774,779,782,785,789],"docs-card-grid",{},[775,776],"docs-card",{"description":777,"icon":619,"title":778,"to":617},"Follow six complete investigations from the original prompt through tool calls, sample evidence, answer structure, and quality checks.","Worked examples",[775,780],{"description":781,"icon":604,"title":601,"to":602},"Copy proven prompts across 15 business scenarios, from shop health to payout reconciliation.",[775,783],{"description":784,"icon":599,"title":596,"to":597},"See the 11 server-provided workflows that guide assistants through the right tools in the right order.",[775,786],{"description":787,"icon":609,"title":788,"to":607},"Browse the read surface by domain, and the write tools each per-domain scope unlocks.","Complete tool catalog",[775,790],{"description":791,"icon":614,"title":611,"to":612},"Learn the permission model — read-only default, per-domain write scopes, destructive-tool confirmation, consent flow, errors, and answer design.",[718,793,795],{"id":794},"what-you-can-ask-a-dataglass-assistant","What you can ask a DataGlass assistant",[797,798,799,805,811,817,823],"ul",{},[736,800,801,804],{},[739,802,803],{},"Diagnose performance:"," explain profit, GMV, margin, or conversion changes and rank their causes.",[736,806,807,810],{},[739,808,809],{},"Evaluate products and ads:"," find loss-makers, inspect True ROAS, and compare recommended targets or budgets.",[736,812,813,816],{},[739,814,815],{},"Simulate decisions:"," test price, discount, or COGS changes without touching a marketplace listing.",[736,818,819,822],{},[739,820,821],{},"Run operations:"," review orders, unshipped backlog, stock alerts, reorder plans, forecasts, and inbound purchase orders.",[736,824,825,828],{},[739,826,827],{},"Reconcile money:"," distinguish realized profit from marketplace payout and investigate settlement differences.",[696,830,831],{},"The connector can combine these domains in one investigation. For example, a profit-drop question can begin with a shop diagnostic, identify ads cost as a material signal, verify cancellation-adjusted True ROAS, and then retrieve a target-ROAS recommendation. Each additional call should answer a specific follow-up question; it should not be used merely to produce a longer response.",[718,833,835],{"id":834},"what-a-dataglass-assistant-can-change-once-you-allow-it","What a DataGlass assistant can change, once you allow it",[696,837,838],{},"A connector is issued read-only. Write ability comes only from a per-domain OAuth scope you approve on the consent screen, so you can let an agent manage ad spend without letting it touch prices. With the matching scope granted, an assistant can apply price-tier drafts and target margins, create or pause ads optimization groups, write COGS and stock, act on DataGlass Actions, handle orders, returns, and shipping, and log purchase orders.",[696,840,841,842],{},"Writes go through DataGlass's own mediated flows — the ones that compute the resulting margin and record a rollback state — never through a raw marketplace passthrough. One honest consequence: ",[739,843,844],{},"vouchers, bundle deals, flexi-combo, and free-shipping campaigns have no mediated equivalent, so an assistant cannot create or edit them at any scope.",[846,847,848],"callout",{"icon":529},[696,849,850,853,854,857],{},[739,851,852],{},"Read-only by default, per-domain after that."," Nothing is granted automatically. Every mutating tool announces itself as destructive so ChatGPT and Claude prompt before executing, and its description names the preview tool to run first. See ",[855,856,611],"a",{"href":612}," for the full model, including what stays out of reach.",[718,859,861],{"id":860},"ask-ai-from-any-screen","Ask AI from any screen",[696,863,864,867,868,871],{},[739,865,866],{},"DataGlass writes the prompt for you."," Screens that carry a full financial picture — Actions, product Financial Breakdown, the new-product calculator, the product overview, and ad campaign detail — show a small ChatGPT and Claude button. Click one and that assistant opens with the prompt already filled in; the same prompt lands on your clipboard, and ",[739,869,870],{},"Copy prompt"," takes it anywhere else.",[696,873,874],{},"The prompt asks the assistant to pull live data through the connector first, and embeds the on-screen numbers as a fallback so it still works before you connect. It follows your workspace language, so a Thai workspace produces a Thai prompt with tool names left as-is.",[718,876,878],{"id":877},"connection-guides","Connection guides",[772,880,881,885],{},[775,882],{"description":883,"icon":884,"title":586,"to":587},"Add DataGlass as an app in ChatGPT and choose what it may access with your DataGlass account.","i-material-symbols-chat-rounded",[775,886],{"description":887,"icon":888,"title":591,"to":592},"Add DataGlass as a custom connector in Claude and start asking questions.","i-material-symbols-chat-bubble-rounded",{"title":890,"searchDepth":891,"depth":891,"links":892},"",3,[893,895,896,897,898,899,900],{"id":720,"depth":894,"text":721},2,{"id":730,"depth":894,"text":731},{"id":769,"depth":894,"text":770},{"id":794,"depth":894,"text":795},{"id":834,"depth":894,"text":835},{"id":860,"depth":894,"text":861},{"id":877,"depth":894,"text":878},"Connect DataGlass to ChatGPT or Claude and ask — or act on — profit, products, ads, orders, recommendations, and inventory.",null,"md",{},{"title":119,"icon":584},"---\ntitle: AI assistants\ndescription: Connect DataGlass to ChatGPT or Claude and ask — or act on — profit, products, ads, orders, recommendations, and inventory.\nnavigation:\n  title: Overview\n  icon: i-material-symbols-smart-toy-rounded\n---\n\nDataGlass exposes a secure Model Context Protocol (MCP) server for your connected shops. It gives compatible AI assistants a structured way to analyze normalized Shopee, Lazada, and TikTok Shop data — and, when you approve a write scope, to act on it. Instead of pasting exports into a chat, you can ask a business question and let the assistant discover the authorized shop, retrieve the smallest useful dataset, and explain the result with the right financial context.\n\nThe connector is designed for decisions, not raw data dumping. Its tools distinguish realized profit from payout, headline ROAS from True ROAS, and explicit COGS from inferred costs. Eleven native playbooks describe reliable tool sequences for common investigations such as a profit decline, weak ads, low-margin products, and inventory planning.\n\n::mcp-quickstart\n---\ntitle: Connect once. Ask in plain language.\ndescription: Add the production MCP endpoint to your assistant, sign in with DataGlass, and choose what it may access. A new connector is read-only until you approve a write scope.\nchatgpt-label: Connect ChatGPT\nclaude-label: Connect Claude\nendpoint-label: Production MCP endpoint\ncopy-label: Copy\ncopied-label: Copied\ntools-label: tools\nplaybooks-label: playbooks\nplatforms-label: platforms\n---\n::\n\nThe surface is 568 tools across three marketplaces, 263 of which can write. Nothing writes until you grant that domain a scope.\n\n## Try an interactive example\n\nChoose a marketplace and business goal below. The lab writes a precise prompt, shows the tools an assistant should call in order, and generates an illustrative answer. It runs entirely in your browser and never connects to your DataGlass account.\n\n::mcp-prompt-lab\n::\n\n## How a question becomes an answer\n\n1. **Resolve scope.** The assistant discovers the shop identifier and region available to the signed-in account. It never guesses a shop ID.\n2. **Start with a summary.** Broad questions begin with a compact health, financial, campaign, or inventory result rather than downloading every row.\n3. **Follow evidence.** The assistant drills into product, cost, campaign, order, or settlement detail only when a signal supports it.\n4. **Explain the decision.** A good answer leads with the conclusion, shows the most important numbers, states dates and currency, and labels uncertainty.\n5. **Ask before acting.** If the next step is a write, the assistant names the tool and the exact change, and waits for your go-ahead. Your assistant prompts you too, because DataGlass flags every mutating tool as destructive.\n\n## Choose an AI assistant guide\n\n::docs-card-grid\n  ::docs-card\n  ---\n  title: Worked examples\n  description: Follow six complete investigations from the original prompt through tool calls, sample evidence, answer structure, and quality checks.\n  icon: i-material-symbols-menu-book-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fworked-examples\n  ---\n  ::\n\n  ::docs-card\n  ---\n  title: Prompt library\n  description: Copy proven prompts across 15 business scenarios, from shop health to payout reconciliation.\n  icon: i-material-symbols-forum-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fprompt-library\n  ---\n  ::\n\n  ::docs-card\n  ---\n  title: Native playbooks\n  description: See the 11 server-provided workflows that guide assistants through the right tools in the right order.\n  icon: i-material-symbols-route-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fplaybooks\n  ---\n  ::\n\n  ::docs-card\n  ---\n  title: Complete tool catalog\n  description: Browse the read surface by domain, and the write tools each per-domain scope unlocks.\n  icon: i-material-symbols-build-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Ftool-catalog\n  ---\n  ::\n\n  ::docs-card\n  ---\n  title: Permissions and safety\n  description: Learn the permission model — read-only default, per-domain write scopes, destructive-tool confirmation, consent flow, errors, and answer design.\n  icon: i-material-symbols-health-and-safety-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fusage-and-safety\n  ---\n  ::\n::\n\n## What you can ask a DataGlass assistant\n\n- **Diagnose performance:** explain profit, GMV, margin, or conversion changes and rank their causes.\n- **Evaluate products and ads:** find loss-makers, inspect True ROAS, and compare recommended targets or budgets.\n- **Simulate decisions:** test price, discount, or COGS changes without touching a marketplace listing.\n- **Run operations:** review orders, unshipped backlog, stock alerts, reorder plans, forecasts, and inbound purchase orders.\n- **Reconcile money:** distinguish realized profit from marketplace payout and investigate settlement differences.\n\nThe connector can combine these domains in one investigation. For example, a profit-drop question can begin with a shop diagnostic, identify ads cost as a material signal, verify cancellation-adjusted True ROAS, and then retrieve a target-ROAS recommendation. Each additional call should answer a specific follow-up question; it should not be used merely to produce a longer response.\n\n## What a DataGlass assistant can change, once you allow it\n\nA connector is issued read-only. Write ability comes only from a per-domain OAuth scope you approve on the consent screen, so you can let an agent manage ad spend without letting it touch prices. With the matching scope granted, an assistant can apply price-tier drafts and target margins, create or pause ads optimization groups, write COGS and stock, act on DataGlass Actions, handle orders, returns, and shipping, and log purchase orders.\n\nWrites go through DataGlass's own mediated flows — the ones that compute the resulting margin and record a rollback state — never through a raw marketplace passthrough. One honest consequence: **vouchers, bundle deals, flexi-combo, and free-shipping campaigns have no mediated equivalent, so an assistant cannot create or edit them at any scope.**\n\n::callout{icon=\"i-lucide-shield-check\"}\n**Read-only by default, per-domain after that.** Nothing is granted automatically. Every mutating tool announces itself as destructive so ChatGPT and Claude prompt before executing, and its description names the preview tool to run first. See [Permissions and safety](\u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fusage-and-safety) for the full model, including what stays out of reach.\n::\n\n## Ask AI from any screen\n\n**DataGlass writes the prompt for you.** Screens that carry a full financial picture — Actions, product Financial Breakdown, the new-product calculator, the product overview, and ad campaign detail — show a small ChatGPT and Claude button. Click one and that assistant opens with the prompt already filled in; the same prompt lands on your clipboard, and **Copy prompt** takes it anywhere else.\n\nThe prompt asks the assistant to pull live data through the connector first, and embeds the on-screen numbers as a fallback so it still works before you connect. It follows your workspace language, so a Thai workspace produces a Thai prompt with tool names left as-is.\n\n## Connection guides\n\n::docs-card-grid\n  ::docs-card\n  ---\n  title: Connect to ChatGPT\n  description: Add DataGlass as an app in ChatGPT and choose what it may access with your DataGlass account.\n  icon: i-material-symbols-chat-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fconnect-chatgpt\n  ---\n  ::\n\n  ::docs-card\n  ---\n  title: Connect to Claude\n  description: Add DataGlass as a custom connector in Claude and start asking questions.\n  icon: i-material-symbols-chat-bubble-rounded\n  to: \u002Fdocs\u002Fai-and-api\u002Fassistants\u002Fconnect-claude\n  ---\n  ::\n::\n",{"title":43,"description":901},"hVRAlA4vZhEl7DADWFHcqR2w5f_K67gCSpZWaLisn4Y",{"data":910,"body":911},{},{"type":912,"children":913},"root",[914],{"type":915,"tag":696,"props":916,"children":917},"element",{},[918],{"type":919,"value":901},"text",1792785016964]