[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-1979":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":9,"languages":9,"totalLinesOfCode":9,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":14,"stars7d":15,"stars30d":16,"stars90d":13,"forks30d":13,"starsTrendScore":17,"compositeScore":18,"rankGlobal":9,"rankLanguage":9,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":20,"topics":23,"createdAt":9,"pushedAt":9,"updatedAt":36,"readmeContent":37,"aiSummary":38,"trendingCount":13,"starSnapshotCount":13,"syncStatus":14,"lastSyncTime":39,"discoverSource":40},1979,"agentic-ai-starters","cporter202\u002Fagentic-ai-starters","cporter202","A practical collection of plug-and-play starter blueprints for building autonomous AI apps with real APIs. Discover ready-to-build agent workflows, API stacks, architecture patterns, prompts, and monetization ideas for research agents, lead gen systems, SEO automations, MCP toolchains, and more.",null,150,46,139,0,2,4,11,6,5.02,"MIT License",false,"main",true,[24,25,26,27,28,29,30,31,32,33,34,35],"agentic-ai","ai-agents","api-workflows","autonomous-workflows","customer-support-ai","lead-generation","mcp","multi-agent-systems","real-estate-automation","research-automation","seo-automation","social-listening","2026-06-12 02:00:35","\u003Cdiv align=\"center\">\n  \u003Cimg src=\".\u002Fassets\u002Freadme-hero.png\" alt=\"Agentic AI Starters hero banner\" width=\"100%\" \u002F>\n\u003C\u002Fdiv>\n\n\u003Cdiv align=\"center\">\n\n# Agentic AI Starters\n\n**A premium blueprint library for building autonomous AI products with real APIs, real workflows, and real monetization paths.**\n\n[![Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcporter202\u002Fagentic-ai-starters?style=for-the-badge&color=0f172a&labelColor=0b1220)](https:\u002F\u002Fgithub.com\u002Fcporter202\u002Fagentic-ai-starters\u002Fstargazers)\n[![Forks](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fforks\u002Fcporter202\u002Fagentic-ai-starters?style=for-the-badge&color=0f172a&labelColor=0b1220)](https:\u002F\u002Fgithub.com\u002Fcporter202\u002Fagentic-ai-starters\u002Fnetwork\u002Fmembers)\n[![Last Commit](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flast-commit\u002Fcporter202\u002Fagentic-ai-starters?style=for-the-badge&color=0f172a&labelColor=0b1220)](https:\u002F\u002Fgithub.com\u002Fcporter202\u002Fagentic-ai-starters\u002Fcommits\u002Fmain)\n[![License](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002Fcporter202\u002Fagentic-ai-starters?style=for-the-badge&color=0f172a&labelColor=0b1220)](.\u002FLICENSE)\n\n[![Curated Stacks](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCurated-API_Stacks-2dd4bf?style=flat-square&labelColor=0b1220)](#curated-stack-paths)\n[![Blueprints](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FStarter-Blueprints-60a5fa?style=flat-square&labelColor=0b1220)](#featured-starters)\n[![Prompts](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPrompt-Library-fbbf24?style=flat-square&labelColor=0b1220)](#what-you-get-in-each-starter)\n[![Architecture](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FArchitecture-MVP_to_V1-f97316?style=flat-square&labelColor=0b1220)](#how-to-use-this-repo)\n[![Monetization](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FMonetization-Ready-34d399?style=flat-square&labelColor=0b1220)](#why-this-repo-is-valuable)\n\n[Explore Starters](#featured-starters) | [Browse Categories](#starter-categories) | [View Stack Paths](#curated-stack-paths) | [See Star History](#star-history)\n\n\u003C\u002Fdiv>\n\n## Navigation\n\n| Jump to | What you will find |\n| --- | --- |\n| [What You Can Build](#what-you-can-build) | The big-picture positioning and why this repo exists |\n| [Featured Starters](#featured-starters) | The highest-value starter blueprints in the library |\n| [Starter Categories](#starter-categories) | A cleaner way to browse by use case |\n| [Curated Stack Paths](#curated-stack-paths) | Collapsible sections with practical stack direction |\n| [How To Use This Repo](#how-to-use-this-repo) | The fastest path from repo to MVP |\n| [Star History](#star-history) | Stargazer chart and social proof block |\n\n## Topics\n\n![agentic-ai](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fagentic--ai-0f172a?style=flat-square)\n![ai-agents](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fai--agents-0f172a?style=flat-square)\n![autonomous-workflows](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fautonomous--workflows-0f172a?style=flat-square)\n![api-workflows](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fapi--workflows-0f172a?style=flat-square)\n![lead-generation](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flead--generation-0f172a?style=flat-square)\n![research-automation](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fresearch--automation-0f172a?style=flat-square)\n![seo-automation](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fseo--automation-0f172a?style=flat-square)\n![social-listening](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fsocial--listening-0f172a?style=flat-square)\n![real-estate-automation](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Freal--estate--automation-0f172a?style=flat-square)\n![customer-support-ai](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fcustomer--support--ai-0f172a?style=flat-square)\n![mcp](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fmcp-0f172a?style=flat-square)\n![multi-agent-systems](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fmulti--agent--systems-0f172a?style=flat-square)\n\n## What You Can Build\n\nThis repository is not a raw API dump and not another giant directory of random tools.\n\nIt is a **curated collection of plug-and-play starter blueprints** for founders, agencies, operators, indie hackers, and product teams who want to build autonomous AI applications that feel like real products.\n\nInstead of asking:\n\n- which of these 10,000 APIs should I even care about?\n- how do I turn a cool model into an actual workflow?\n- what does an MVP stack for this category look like?\n\nThis repo answers:\n\n- what to build\n- who it is for\n- how the workflow should run\n- which APIs belong in the stack\n- which recommended APIs are worth clicking into first\n- how to move from concept to MVP to monetizable product\n\nIf you want the full API catalog, use the main [API Mega List](https:\u002F\u002Fgithub.com\u002Fcporter202\u002FAPI-mega-list). This repo is the opinionated build layer on top of that broader catalog.\n\n## Featured Starters\n\n\u003Ctable>\n  \u003Ctr>\n    \u003Ctd width=\"50%\">\n      \u003Ch3>\u003Ca href=\".\u002Fstarters\u002Fresearch-agent\u002F\">Research Agent\u003C\u002Fa>\u003C\u002Fh3>\n      \u003Cp>Citation-first research workflows for market scans, strategy briefs, and web intelligence.\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"50%\">\n      \u003Ch3>\u003Ca href=\".\u002Fstarters\u002Flead-gen-agent\u002F\">Lead Gen Agent\u003C\u002Fa>\u003C\u002Fh3>\n      \u003Cp>Discover, enrich, score, and route outreach-ready leads with stronger sourcing paths.\u003C\u002Fp>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n  \u003Ctr>\n    \u003Ctd width=\"50%\">\n      \u003Ch3>\u003Ca href=\".\u002Fstarters\u002Fseo-content-agent\u002F\">SEO Content Agent\u003C\u002Fa>\u003C\u002Fh3>\n      \u003Cp>Turn search intent, competitor analysis, and prompt systems into a repeatable content engine.\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"50%\">\n      \u003Ch3>\u003Ca href=\".\u002Fstarters\u002Fsocial-listening-agent\u002F\">Social Listening Agent\u003C\u002Fa>\u003C\u002Fh3>\n      \u003Cp>Track conversations, cluster narratives, and surface the mentions that deserve human attention.\u003C\u002Fp>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n  \u003Ctr>\n    \u003Ctd width=\"50%\">\n      \u003Ch3>\u003Ca href=\".\u002Fstarters\u002Foutreach-agent\u002F\">Outreach Agent\u003C\u002Fa>\u003C\u002Fh3>\n      \u003Cp>Personalized outbound systems with stronger context, better sequences, and cleaner handoffs.\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"50%\">\n      \u003Ch3>\u003Ca href=\".\u002Fstarters\u002Fmulti-agent-ops-starter\u002F\">Multi-Agent Ops Starter\u003C\u002Fa>\u003C\u002Fh3>\n      \u003Cp>Production-minded orchestration patterns for planners, workers, reviewers, and operators.\u003C\u002Fp>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n\u003C\u002Ftable>\n\n## Starter Categories\n\n\u003Ctable>\n  \u003Ctr>\n    \u003Ctd width=\"33%\">\n      \u003Ch3>Research and Intelligence\u003C\u002Fh3>\n      \u003Cp>\u003Ca href=\".\u002Fstarters\u002Fresearch-agent\u002F\">research-agent\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Fcompetitor-intel-agent\u002F\">competitor-intel-agent\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Fsocial-listening-agent\u002F\">social-listening-agent\u003C\u002Fa>\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"33%\">\n      \u003Ch3>Revenue and Pipeline\u003C\u002Fh3>\n      \u003Cp>\u003Ca href=\".\u002Fstarters\u002Flead-gen-agent\u002F\">lead-gen-agent\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Foutreach-agent\u002F\">outreach-agent\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Fcustomer-support-agent\u002F\">customer-support-agent\u003C\u002Fa>\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"33%\">\n      \u003Ch3>Content and Growth\u003C\u002Fh3>\n      \u003Cp>\u003Ca href=\".\u002Fstarters\u002Fseo-content-agent\u002F\">seo-content-agent\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Fecommerce-monitor-agent\u002F\">ecommerce-monitor-agent\u003C\u002Fa>\u003C\u002Fp>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n  \u003Ctr>\n    \u003Ctd width=\"33%\">\n      \u003Ch3>Vertical Operators\u003C\u002Fh3>\n      \u003Cp>\u003Ca href=\".\u002Fstarters\u002Fjob-hunt-agent\u002F\">job-hunt-agent\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Freal-estate-agent\u002F\">real-estate-agent\u003C\u002Fa>\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"33%\">\n      \u003Ch3>Systems and Infrastructure\u003C\u002Fh3>\n      \u003Cp>\u003Ca href=\".\u002Fstarters\u002Fmcp-toolchain-starter\u002F\">mcp-toolchain-starter\u003C\u002Fa>\u003Cbr>\u003Ca href=\".\u002Fstarters\u002Fmulti-agent-ops-starter\u002F\">multi-agent-ops-starter\u003C\u002Fa>\u003C\u002Fp>\n    \u003C\u002Ftd>\n    \u003Ctd width=\"33%\">\n      \u003Ch3>Business Angle\u003C\u002Fh3>\n      \u003Cp>Agency offers\u003Cbr>Internal tooling\u003Cbr>SaaS MVPs\u003Cbr>Productized services\u003Cbr>Paid research and ops workflows\u003C\u002Fp>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n\u003C\u002Ftable>\n\n## What You Get In Each Starter\n\nEvery starter is designed to feel actionable instead of empty.\n\n| File | Why it matters |\n| --- | --- |\n| `README.md` | Product concept, buyer, workflow, inputs, outputs, and why someone would build it |\n| `architecture.md` | Clear MVP shape, core components, and implementation direction |\n| `prompts.md` | Prompt building blocks, role prompts, and guardrails |\n| `stack.md` | Featured API links, companion APIs, and stack tiers |\n\n## Curated Stack Paths\n\n\u003Cdetails>\n  \u003Csummary>\u003Cstrong>Research and intelligence stacks\u003C\u002Fstrong>\u003C\u002Fsummary>\n\nThese starters are built for discovery, synthesis, monitoring, and recurring insight generation.\n\n- [research-agent](.\u002Fstarters\u002Fresearch-agent\u002Fstack.md): research workflows, citation-first extraction, web synthesis\n- [competitor-intel-agent](.\u002Fstarters\u002Fcompetitor-intel-agent\u002Fstack.md): competitor tracking, launch monitoring, positioning shifts\n- [social-listening-agent](.\u002Fstarters\u002Fsocial-listening-agent\u002Fstack.md): channel monitoring, narrative clustering, alerting\n\nFeatured paths:\n\n- [AI Web Research Agent](https:\u002F\u002Fapify.com\u002Fdevwithbobby\u002Fai-web-research-agent?fpr=p2hrc6)\n- [Website Content Crawler](https:\u002F\u002Fapify.com\u002Fapify\u002Fwebsite-content-crawler?fpr=p2hrc6)\n- [Google Search API](https:\u002F\u002Fapify.com\u002Fapi\u002Fgoogle-search-api?fpr=p2hrc6)\n- [Twitter\u002FX Scraper](https:\u002F\u002Fapify.com\u002Fautomation-lab\u002Ftwitter-scraper?fpr=p2hrc6)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n  \u003Csummary>\u003Cstrong>Revenue and pipeline stacks\u003C\u002Fstrong>\u003C\u002Fsummary>\n\nThese starters are designed for list building, outbound execution, and support flows tied to business outcomes.\n\n- [lead-gen-agent](.\u002Fstarters\u002Flead-gen-agent\u002Fstack.md): account discovery, enrichment, qualification\n- [outreach-agent](.\u002Fstarters\u002Foutreach-agent\u002Fstack.md): personalization, sequencing, reply handling\n- [customer-support-agent](.\u002Fstarters\u002Fcustomer-support-agent\u002Fstack.md): ticket triage, retrieval, draft replies\n\nFeatured paths:\n\n- [Linkedin Leads Generator](https:\u002F\u002Fapify.com\u002Fcontacts-api\u002Flinkedin-leads-generator?fpr=p2hrc6)\n- [Find B2B Emails for Outreach](https:\u002F\u002Fapify.com\u002Fpurple_beep_boop\u002Ffind-b2b-emails-for-outreach?fpr=p2hrc6)\n- [LinkedIn Profile Scraper](https:\u002F\u002Fapify.com\u002Fautomation-lab\u002Flinkedin-profile-scraper?fpr=p2hrc6)\n- [Trustpilot Scraper](https:\u002F\u002Fapify.com\u002Fhappitap\u002Ftrustpilot-scraper?fpr=p2hrc6)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n  \u003Csummary>\u003Cstrong>Content and growth stacks\u003C\u002Fstrong>\u003C\u002Fsummary>\n\nThese starters help teams turn SERP data, product signals, and market changes into content and growth actions.\n\n- [seo-content-agent](.\u002Fstarters\u002Fseo-content-agent\u002Fstack.md): topic clustering, SERP analysis, briefs, drafts\n- [ecommerce-monitor-agent](.\u002Fstarters\u002Fecommerce-monitor-agent\u002Fstack.md): product monitoring, pricing alerts, review summaries\n\nFeatured paths:\n\n- [Google Keyword Scraper](https:\u002F\u002Fapify.com\u002Fdxbear\u002Fgoogle-keyword-scraper?fpr=p2hrc6)\n- [Google Search Scraper](https:\u002F\u002Fapify.com\u002Fapidojo\u002Fgoogle-search-scraper?fpr=p2hrc6)\n- [Amazon Product Scraper](https:\u002F\u002Fapify.com\u002Fget-leads\u002Famazon-product-scraper?fpr=p2hrc6)\n- [Website Content Crawler](https:\u002F\u002Fapify.com\u002Fapify\u002Fwebsite-content-crawler?fpr=p2hrc6)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n  \u003Csummary>\u003Cstrong>Vertical operator stacks\u003C\u002Fstrong>\u003C\u002Fsummary>\n\nThese starters package agent workflows around specific categories with real operational use.\n\n- [job-hunt-agent](.\u002Fstarters\u002Fjob-hunt-agent\u002Fstack.md): role discovery, company research, tailored applications\n- [real-estate-agent](.\u002Fstarters\u002Freal-estate-agent\u002Fstack.md): listing monitoring, underwriting notes, market context\n\nFeatured paths:\n\n- [LinkedIn Jobs Scraper](https:\u002F\u002Fapify.com\u002Fvalig\u002Flinkedin-jobs-scraper?fpr=p2hrc6)\n- [Indeed Jobs Scraper](https:\u002F\u002Fapify.com\u002Fvalig\u002Findeed-jobs-scraper?fpr=p2hrc6)\n- [Zillow Scraper](https:\u002F\u002Fapify.com\u002Fmido_99\u002Fzillow-scraper?fpr=p2hrc6)\n- [Google Maps B2B Leads Scraper](https:\u002F\u002Fapify.com\u002Fprimeparse\u002Fgoogle-maps-scraper?fpr=p2hrc6)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n  \u003Csummary>\u003Cstrong>Systems and infrastructure stacks\u003C\u002Fstrong>\u003C\u002Fsummary>\n\nThese starters are for teams building serious internal agent systems, toolchains, and orchestration layers.\n\n- [mcp-toolchain-starter](.\u002Fstarters\u002Fmcp-toolchain-starter\u002Fstack.md): MCP tool surfaces, auditable actions, doc ingestion\n- [multi-agent-ops-starter](.\u002Fstarters\u002Fmulti-agent-ops-starter\u002Fstack.md): routers, workers, reviewers, traces, retries\n\nFeatured paths:\n\n- [AI Web Scraper](https:\u002F\u002Fapify.com\u002Fapify\u002Fai-web-scraper?fpr=p2hrc6)\n- [Website Content Crawler](https:\u002F\u002Fapify.com\u002Fapify\u002Fwebsite-content-crawler?fpr=p2hrc6)\n- [AI Web Research Agent](https:\u002F\u002Fapify.com\u002Fdevwithbobby\u002Fai-web-research-agent?fpr=p2hrc6)\n- [Google Search API](https:\u002F\u002Fapify.com\u002Fapi\u002Fgoogle-search-api?fpr=p2hrc6)\n\n\u003C\u002Fdetails>\n\n## Why This Repo Is Valuable\n\nThis repo is built to shorten the distance between:\n\n- seeing an agent idea\n- understanding the workflow\n- choosing the right stack\n- building the first version\n- turning it into something monetizable\n\nIt is valuable because it helps you:\n\n- avoid generic AI project ideas with no operational shape\n- pick higher-signal API stacks faster\n- package agent workflows into agency, SaaS, consulting, or internal tools\n- move from research and prompting into architecture and execution\n- browse by actual business use case instead of random API categories\n\n## How To Use This Repo\n\n1. Pick a starter based on the product or workflow you want to build.\n2. Read that starter's `README.md` to understand the use case and target builder.\n3. Review `architecture.md` for the MVP shape.\n4. Use `prompts.md` to seed your planner, worker, reviewer, and QA loops.\n5. Open `stack.md` to choose a lean, best-value, or premium path.\n6. Replace the starter assumptions with your own auth, storage, UI, and business logic.\n\n## Recommended Reading Order\n\n| If you are... | Start here |\n| --- | --- |\n| Building a research or monitoring tool | [research-agent](.\u002Fstarters\u002Fresearch-agent\u002F) or [competitor-intel-agent](.\u002Fstarters\u002Fcompetitor-intel-agent\u002F) |\n| Building a sales or service workflow | [lead-gen-agent](.\u002Fstarters\u002Flead-gen-agent\u002F) or [outreach-agent](.\u002Fstarters\u002Foutreach-agent\u002F) |\n| Building growth automation | [seo-content-agent](.\u002Fstarters\u002Fseo-content-agent\u002F) or [ecommerce-monitor-agent](.\u002Fstarters\u002Fecommerce-monitor-agent\u002F) |\n| Building infra for agents | [mcp-toolchain-starter](.\u002Fstarters\u002Fmcp-toolchain-starter\u002F) or [multi-agent-ops-starter](.\u002Fstarters\u002Fmulti-agent-ops-starter\u002F) |\n\n## Repo Structure\n\n```text\nagentic-ai-starters\u002F\n|- README.md\n|- LICENSE\n|- .gitignore\n|- assets\u002F\n|  |- readme-hero.svg\n|- docs\u002F\n|- prompts\u002F\n|- templates\u002F\n|- starters\u002F\n   |- research-agent\u002F\n   |- lead-gen-agent\u002F\n   |- seo-content-agent\u002F\n   |- social-listening-agent\u002F\n   |- ecommerce-monitor-agent\u002F\n   |- competitor-intel-agent\u002F\n   |- job-hunt-agent\u002F\n   |- real-estate-agent\u002F\n   |- outreach-agent\u002F\n   |- customer-support-agent\u002F\n   |- mcp-toolchain-starter\u002F\n   |- multi-agent-ops-starter\u002F\n```\n\n## Star History\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=cporter202\u002Fagentic-ai-starters&type=Date)](https:\u002F\u002Fstar-history.com\u002F#cporter202\u002Fagentic-ai-starters&Date)\n\n## Notes\n\n- This repository is intentionally curated and opinionated.\n- APIs still matter here, but only when they belong inside an actual build path.\n- The main [API Mega List](https:\u002F\u002Fgithub.com\u002Fcporter202\u002FAPI-mega-list) is still the place to browse the full catalog.\n","Agentic AI Starters 是一个实用的启动蓝图集合，旨在帮助开发者使用真实API构建自主AI应用程序。该项目提供了多种即插即用的工作流、API栈、架构模式以及提示和变现思路，覆盖了从研究代理、潜在客户生成系统到SEO自动化等多个领域。其核心功能包括预设的高效开发路径、多样化的应用场景支持及可扩展的架构设计，特别适合需要快速原型化并部署AI解决方案的企业和个人开发者。此外，项目遵循MIT许可协议，保证了开源社区的广泛参与与贡献。","2026-06-11 02:47:10","CREATED_QUERY"]