Enrich person screener
Enriches a person's data using their LinkedIn profile URL, with selectable response fields and a real-time enrichment option. Availability and accuracy may vary with the information available.
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Integrate Crustdata
with your AI CRM
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
Explore Triggers and Actions
Fetch headcount by facet timeseries
Retrieves headcount timeseries data by facet using filters and pagination. It supports nested filter conditions for workforce and organizational growth analysis.
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Filter decision makers data
Filters and retrieves decision maker data using conditions, title filters, and pagination. Nested filter conditions can be supplied for targeted queries.
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Find companies by investor
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.
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Post funding milestone timeseries data
Retrieves company funding milestone timeseries data using filters and pagination. It can be used to analyze funding trends and compare company funding histories.
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Post headcount timeseries data
Retrieves headcount timeseries data from CrustData Data Lab using filters and pagination. It supports nested filter conditions for historical workforce analysis.
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Post web traffic data
Retrieves web traffic data from CrustData using filters and pagination. Nested conditions and logical operators can be used to query traffic data for analysis and reporting.
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Retrieve linkedin posts
Retrieves LinkedIn posts for a company identified by its LinkedIn URL using CrustData's screener functionality. The posts can support analysis of company activity and engagement.
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Screen metrics and filter conditions
Screens company data using metrics, filter conditions, and pagination for targeted extraction and analysis.
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Screener company information
Retrieves company information by domain, with an option to request real-time enrichment. Managed requests are limited to one bare domain and cached data.
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Search companies with filters
The CompanySearch endpoint enables users to search and filter companies using the CrustData API. It provides a powerful mechanism for querying company data based on multiple criteria, supporting complex filtering and pagination. This endpoint is ideal for applications that need to retrieve specific sets of company information, such as financial analysis tools, market research platforms, or business intelligence systems. The search functionality allows for precise data retrieval, enhancing the efficiency of data integration and analysis processes in B2B scenarios. Users should be aware that the endpoint requires careful construction of filter objects and proper use of pagination to ensure optimal performance and accurate results.
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Search for job id in screener
The screener_person_search endpoint allows users to search for persons associated with a specific job ID within the CrustData B2B SaaS integration platform. This POST request accepts a JSON payload containing a job_id and returns relevant person data linked to that job. It's particularly useful for scenarios where you need to quickly retrieve all individuals connected to a particular job or project. The endpoint is part of the platform's screening functionality, enabling efficient filtering of person records based on job-related criteria. While it provides a focused search based on job ID, it may not offer advanced filtering options or return comprehensive job details.
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Search indexed job listings
Search indexed jobs using Crustdata's supported versioned Job API. This keeps the legacy action name while replacing the retired ``/data_lab/job_listings/Table/`` endpoint. Legacy stock symbols map directly to Job Search's documented company stock-symbol filter. Numeric pagination beyond offset zero cannot be preserved because the provider now issues query-bound opaque cursors.
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Search linkedin posts by keyword
This endpoint enables searching for LinkedIn posts using a specific keyword. It allows users to retrieve relevant content from LinkedIn by specifying a search term, along with options for pagination, sorting, and filtering by post date. The function is particularly useful for conducting market research, competitor analysis, or tracking industry trends on the LinkedIn platform. Users can fine-tune their search results by choosing how to sort the posts (by relevance or date) and selecting a specific time frame for the content. The endpoint returns paginated results, allowing for efficient navigation through large sets of matching posts.
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Validate API Credentials
Validate Crustdata API credentials against the current free account endpoint. Use this action when you need to verify that API credentials are valid and properly configured before making other API calls. Returns validation status and a descriptive message about the credential state.
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How the Crustdata integration works
The Crustdata integration connects your Dench AI CRM directly to Crustdata, so agents can read and act on your Crustdata data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
15 actions are available for agents to invoke on your behalf. Every call runs through Crustdata's own authorization, scoped to the account you connect.
Set up Crustdata in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find Crustdata and click Connect — you'll authorize access through Crustdata's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use Crustdata in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the Crustdata integration work with Dench?
The Dench Crustdata integration connects your AI CRM to Crustdata, so AI agents can work with your Crustdata data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with Crustdata via Dench?
The Crustdata integration currently exposes 15 actions, including Enrich person screener, Fetch headcount by facet timeseries, Filter decision makers data, Find companies by investor, Post funding milestone timeseries data, and Post headcount timeseries data. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect Crustdata to Dench?
No. You connect Crustdata from your Dench workspace using Crustdata's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the Crustdata integration secure?
Connections are authorized through Crustdata's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Crustdata connection from your workspace settings at any time.