Natural-language research
Describe criteria in natural language to generate verified, enriched datasets from research tasks.
Overview
Claro’s Research Agent is a tool for automating manual research inside a native table interface. It is designed to generate and enrich lists, research companies, monitor pricing, and read large sets of documents while keeping the output structured inside the dataset.
The product can run as a standalone research tool, but Claro says it becomes stronger when connected to the broader platform. In that mode, research outputs are entity-aware, aligned to canonical IDs, and synced to systems such as ERP, PIM, ecommerce, and analytics with audit trails and review queues.
Core capabilities
Native table workflow
Add a column, define a task, and run it across small or very large tables without leaving the dataset.
Multiple research modes
Enrich rows with external data, extract fields from unstructured sources, generate tables from documents, structure geographic insights, or start from a blank table.
Operational data tasks
Run research, enrichment, extraction, classification, and monitoring workflows across datasets and supplier data.
Standalone or connected use
Use the standalone Research Agent by itself, or connect it to Claro for entity-aware, canonical-ID-aligned workflows with audit trails and review queues.
Common use cases
List generation and enrichment
Generate or enrich prospect, supplier, or account lists from criteria you define, while keeping the results in a table you can review and extend.
Company research at scale
Research companies and collect verified fields across many rows without copying data between tools.
Document extraction
Read PDFs, contracts, manuals, or other documents and extract structured fields from them into a usable table.
Price and change monitoring
Monitor pricing, availability, or other changing fields over time and capture updates in a structured workflow.
Connected operational research
Use the agent as a standalone research tool, or connect it to Claro when outputs need to align with canonical IDs and downstream systems.
Pros and Cons
Pros
- Keeps research inside a table-based workflow instead of pushing work into a separate tool.
- Supports several practical research tasks, including enrichment, document extraction, company research, and pricing monitoring.
- Can run across a small batch or a very large table, from 10 rows to 100,000.
- Produces structured outputs rather than unformatted text, which makes downstream use easier.
- Can connect to the wider Claro platform for governed, system-aligned workflows.
Cons
- The public material is light on setup detail, integrations, and exact workflow limits for the standalone agent.
- Pricing terms for custom plans are not published on the page.
- The source does not specify which systems or file types are supported beyond the examples shown.
FAQ
How does Claro pricing work?
Claro offers a self-serve, pay-per-action option and a custom plan for larger or more operationally complex deployments. The pricing page also says teams can start with a focused pilot and scale from there.
What counts as an action in self-serve?
The source does not define a formal action unit in detail. It only states that the self-serve plan is pay per action.
When should I move to a custom plan?
The site suggests a custom plan when you need to operate large catalogs at scale, continuous onboarding and validation, monitoring and automation workflows, or platform configuration and model tuning.
Are there hidden fees or long-term commitments?
The pricing page says there are no hidden fees or long-term commitments, but it does not publish custom-plan formulas or minimums.
Can the research agent be used standalone?
Claro positions its research agents as usable on their own, but also stronger when connected inside Claro because the workflow becomes entity-aware, canonical-ID aligned, synced to ERP, PIM, ecommerce, and analytics systems, and governed with audit trails and review queues.
Quick Facts
- Category
- AI research agent
- Product type
- Standalone tool with platform-connected mode
- Primary workflow
- Research, enrich, and structure data in tables
- Typical users
- Teams doing manual research, list enrichment, or document review
- Pricing
- Self-serve pay-per-action and custom plans
- Website
- getclaro.ai
Claro 替代品
Happenstance
Happenstance is an AI-powered network search tool for finding people, mutual connections, and warm introductions across connected accounts. It supports individual use, shared team groups, and developer workflows through API, MCP, Slack, and other integrations.
Hype
Hype 是一款 YouTube 趋势发现工具，可按类别、时间范围和评分模式查找热门话题，帮助创作者发现新兴选题、查看来源视频并决定下一步内容。
Paperpal
Paperpal 是一款面向学术写作的 AI 工具，提供文献阅读、语言润色、引用、查重、AI 检测和投稿前检查。它适合需要在英文论文和学术材料上进行写作、修改与合规自检的学生、研究人员和教师。
VForms
VForms lets you place questionnaires directly inside YouTube videos so viewers answer in context instead of switching to a separate form. It is aimed at collecting feedback and insights through timestamped, embeddable video forms.
Scite
Scite 是一款 AI 研究平台，可用于检索论文、查看引文语境，并获取基于学术文献的答案。支持研究人员、学生和团队评估全文来源、专利及相关研究材料中的证据。
Skayle
Skayle is a content and AI search visibility platform that researches topics before writing, publishes structured content to a CMS, and tracks whether brands are cited in AI search. It is aimed at teams that want one system for publishing, schema-rich content, and visibility monitoring.