# EVA - The Deep Research Agent (`quippy_valuation/eva-the-deep-research-agent`) Actor EVA is a fast, cheap AI research agent built by a motorcycle blogger to save hours of searching. Currently reading public websites, it delivers verified insights for bloggers, YouTubers, and curious minds. The most reliable, budget-friendly alternative to big tools like Google Deep Research! - **URL**: https://apify.com/quippy\_valuation/eva-the-deep-research-agent.md - **Developed by:** [Eliezer Josue Vargas Gamboa](https://apify.com/quippy_valuation) (community) - **Categories:** Agents, Automation, News - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / actor start This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## EVA Deep Research ### What does EVA Deep Research do? EVA Deep Research is an intelligent research agent that delivers comprehensive, detailed dossiers on any topic you specify. Unlike traditional search or manual research methods, EVA combines advanced web scraping, content analysis, and strategic research methodologies to provide you with actionable insights and validated findings. EVA Deep Research delivers: - A chosen strategy with a clear roadmap of actionable steps tailored to your research question - A complete log of all scraped websites and sources used during the research process - Key user pain points identified during the reading and analysis process, highly valuable for product validation, service development, and market analysis - Well-structured research sections with introduction, body content, conclusion, and source citations - Discarded sources documentation to show research rigor and transparency ### Why use EVA Deep Research? In today's fast-moving business environment, quality research is critical but time-consuming. Manual research can take days or weeks, and it's easy to miss important pain points or emerging trends. EVA Deep Research automates this process while maintaining high standards of accuracy and relevance. Here are just some of the ways you could use EVA's research dossiers: - **Product Development**: Identify real user pain points to inform your product roadmap and feature prioritization - **Market Analysis**: Understand market dynamics, competitive landscapes, and emerging opportunities in your industry - **Service Development**: Discover customer friction points and gaps in existing solutions to design better services - **Validation Research**: Validate business hypotheses with data-driven insights from real web sources - **Competitive Intelligence**: Gather comprehensive information about competitors, technologies, and industry trends - **Content Strategy**: Create well-researched, authoritative content backed by multiple verified sources - **Investment Due Diligence**: Conduct thorough market and technology research before making business decisions If you would like more inspiration on how deep research could help your business or organization, check out our [industry pages](https://apify.com/industries). ### How to use EVA Deep Research It's easy to run EVA Deep Research. Just follow these few steps and you'll get your comprehensive research dossier in minutes. 1. Click on **Try for free**. 2. Enter your research topic or question in the input field. Be specific about what you want to research. 3. Click on **Run**. 4. When EVA Deep Research has finished, preview or download your complete dossier from the **Dataset** tab. 5. Review the strategy outline, scraped sources, key findings, and identified pain points. ### How much will it cost to use EVA Deep Research? Apify gives you $5 free usage credits every month on the [Apify Free plan](https://apify.com/pricing). This is enough to run several research queries and explore EVA's capabilities. For regular research needs, we recommend our [$49/month Starter plan](https://apify.com/pricing) - you can run many deep research queries every month with this plan. For organizations conducting extensive research operations, the [$499/month Scale plan](https://apify.com/pricing) provides the resources needed for unlimited deep research projects. ### Sample Output ````json { "id_pesquisa": 1786380460956, "assunto": "api de whatsapp não oficial estavel, melhor do mercado, como criar uma api com o padrão de segurança em quesitos de evitar ban do whatsapp", "status": "entregue", "relatorio": { "greeting_and_overview": "Olá! Aqui está o resultado da nossa pesquisa profunda sobre APIs Não Oficiais de WhatsApp. Para este assunto, seguimos a estratégia STORM, dividindo a pesquisa nas partes abaixo e varrendo com sucesso 71 páginas.", "research_outline": [ { "part_title": "Parte 1: Arquitetura Técnica e Implementação", "steps": [ "Passo 1A: Mapear as tecnologias (linguagens, frameworks, bancos de dados, filas de mensagens) utilizadas pelas principais APIs não oficiais de WhatsApp." ] }, { "part_title": "Parte 2: Estratégias de Segurança e Prevenção de Banimento", "steps": [ "Passo 2A: Pesquisar os padrões de comportamento e interações que historicamente resultam em banimento de contas pelo WhatsApp." ] } ], "introduction": "Em um mundo cada vez mais conectado, onde a comunicação instantânea define o ritmo dos negócios e das interações pessoais, o WhatsApp se consolidou como um pilar indispensável...", "body_sections": [ { "section_title": "O Coração da Automação: Tecnologias e Bibliotecas por Trás das APIs Não Oficiais", "content": "As APIs de WhatsApp não oficiais, como a Evolution API, WPPConnect e Baileys, operam com base em uma intrincada engenharia reversa do protocolo Multi-Device do WhatsApp...", "sources_used": [ "[https://yousecure.io/blog/evolution-api-guia-completo-whatsapp-oficial-6](https://yousecure.io/blog/evolution-api-guia-completo-whatsapp-oficial-6)", "[https://wwebjs.dev/](https://wwebjs.dev/)" ] } ], "conclusion": "Ao final desta investigação, emerge um cenário claro e complexo para as APIs não oficiais de WhatsApp...", "discarded_sources": [ "[https://clickup.com/blog/asana-vs-monday/](https://clickup.com/blog/asana-vs-monday/) (Conteúdo sobre comparação de plataformas de gestão de projetos, não APIs de WhatsApp)" ], "pain_points": [ { "pain_title": "Risco Elevado de Banimento e Instabilidade Operacional", "pain_description": "O uso de APIs não oficiais expõe as contas de WhatsApp a um alto risco de banimento permanente pela Meta, além de sofrer com instabilidade devido às constantes mudanças no protocolo." } ] } } # Actor input Schema ## `topic` (type: `string`): Enter the topic or URL that the EVA agent should research. ## `language` (type: `string`): Specify the language for the report (e.g., en-US, pt-BR). Defaults to English if not provided. ## `callbackUrl` (type: `string`): Optional. Enter the URL to automatically receive the finalized report. If left blank, no callback will be sent. ## Actor input object example ```json { "topic": "Motonapratica.online", "language": "en-US" } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "topic": "Motonapratica.online", "language": "en-US", "callbackUrl": "" }; // Run the Actor and wait for it to finish const run = await client.actor("quippy_valuation/eva-the-deep-research-agent").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "topic": "Motonapratica.online", "language": "en-US", "callbackUrl": "", } # Run the Actor and wait for it to finish run = client.actor("quippy_valuation/eva-the-deep-research-agent").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "topic": "Motonapratica.online", "language": "en-US", "callbackUrl": "" }' | apify call quippy_valuation/eva-the-deep-research-agent --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,quippy_valuation/eva-the-deep-research-agent" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/92SLigbythD0Pw406/builds/Sm9RUA6GsU4V8xYRZ/openapi.json