company-data · sales-&-crm · analytics · 0 triggers · 15 actions
CrustData is an AI-powered data intelligence platform that provides real-time company and people data via APIs and webhooks, empowering B2B sales teams, AI SDRs, and investors to act on live signals Add Crustdata to your Stream Deck workflows with guided setup for the connection details it needs.
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The screener_person_enrich endpoint enriches person data by providing additional information based on the given query. It allows users to retrieve detailed information about individuals, which can be useful for various purposes such as customer profiling, lead generation, or data verification. This endpoint should be used when you need to augment existing person data with additional details or verify information about a specific individual. The enrichment process draws from CrustData's extensive database and real-time data sources to provide up-to-date and comprehensive information. Users can customize the response by specifying the exact fields they need, optimizing data transfer and processing. Note that the availability and accuracy of enriched data may vary depending on the input provided and the information available in CrustData's systems.
The GetCompanyScreener endpoint allows users to search and filter companies based on various criteria such as headcount, growth rate, funding, and more. It provides a powerful way to identify specific companies that meet predefined conditions. This endpoint is particularly useful for tasks like lead generation, market research, and competitive analysis. The endpoint returns a list of companies matching the specified criteria, with each company entry containing key information such as name, industry, headcount, funding details, and growth metrics. Users can customize their search using multiple filters, sort the results, and paginate through large result sets. Note that the accuracy of the data depends on CrustData's real-time data collection and update frequency.
Retrieves headcount data as a timeseries with faceted analysis capabilities. This endpoint allows users to fetch detailed headcount information over time, applying complex filters, pagination, and sorting. It's particularly useful for HR analytics, workforce planning, and organizational growth analysis. The endpoint supports nested logical operations in its filtering mechanism, enabling highly specific queries. Users can paginate through large datasets and sort results based on multiple criteria. While powerful, this endpoint requires careful construction of the filters parameter to ensure accurate data retrieval. It should be used when detailed, time-based headcount analysis is needed, but may not be suitable for simple, non-time-series headcount queries or for real-time data needs due to its complexity.
Filters and retrieves decision maker data from the CrustData B2B SaaS integration platform based on complex criteria. This endpoint allows for advanced querying of decision maker information using a combination of filters, pagination, sorting, and title-based filtering. It's designed for scenarios where specific subsets of decision maker data need to be extracted or analyzed. The endpoint supports nested logical conditions in filters, enabling highly targeted data retrieval. Use this when you need to perform detailed analysis or reporting on decision makers across various organizations or industries. Note that the endpoint requires careful structuring of the request body to effectively utilize its advanced filtering capabilities.
Find portfolio companies using Crustdata's supported Company Search API. The public action name and `investor_name input are retained from the retired /data_lab/investor_portfolio` action. The current provider API can identify companies whose all-time investor list contains a name and return each company's funding summary. It does not expose the retired endpoint's round-level investment amount, round date, investor UUID, or co-investor history; those fields are not synthesized because no supported replacement exists.
The FundingMilestoneTimeseries endpoint retrieves time-series data related to funding milestones for companies. It allows for complex querying of funding events over time, with flexible filtering, pagination, and sorting options. This endpoint is particularly useful for analyzing funding trends, comparing company funding histories, or tracking specific funding events across multiple organizations. The data returned is based on the specified filters and can be tailored to focus on particular time ranges, funding stages, or company characteristics. While it provides comprehensive funding milestone data, it does not include detailed company information beyond what's directly related to funding events.
Retrieves filtered and sorted headcount timeseries data from the CrustData Data Lab. This endpoint allows for complex querying of historical headcount information, enabling users to analyze workforce trends over time. It supports advanced filtering with nested conditions, pagination for handling large datasets, and customizable sorting. Ideal for generating reports, conducting workforce analysis, or integrating headcount data into third-party business intelligence tools. Note that the specifics of the returned data structure are not provided in the given schema.
Retrieves filtered and sorted web traffic data from the CrustData platform. This endpoint allows for complex querying of web traffic information using nested conditions and logical operators. It supports pagination for handling large datasets and provides sorting capabilities for customized data presentation. Use this endpoint when you need to analyze web traffic patterns, filter data based on specific criteria, or extract insights from your web analytics. The endpoint is particularly useful for generating reports, identifying trends, or monitoring key performance indicators related to web traffic.
CrustData is an AI-powered data intelligence platform that provides real-time company and people data via APIs and webhooks, empowering B2B sales teams, AI SDRs, and investors to act on live signals
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