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AI agent integrationCrustdata

Crustdata integration for multiplayer collaboration with AI agents using Claude Code or Codex

One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Crustdata never means pasting credentials into a prompt.

CategorySales & CRM

Use Crustdata from Claude Code

Bring Crustdata context into engineering work while Type keeps app access attached to the teammate and workspace.

Automate Crustdata with Codex

Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.

Connect open agent workflows

Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.

Sales & CRM

What the Crustdata integration exposes

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

One connection, many teammates

Connect Crustdata once, then decide which teammates can use it for threads, automations, skills, and coding work.

Representative actions

  • Enrich person screener

    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.

  • Fetch headcount by facet timeseries

    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.

  • Fetch investor portfolio data

    Retrieves comprehensive investor portfolio data from the Data Lab section of the CrustData API. This endpoint provides access to detailed information about investor portfolios, including investment holdings, performance metrics, and other relevant data points. It is designed to support investment analysis, portfolio management, and decision-making processes in a B2B context. The endpoint should be used when detailed investor portfolio information is required for tasks such as investment screening, performance tracking, or generating analytical reports. It's important to note that this endpoint may not provide real-time data and the frequency of updates should be verified in the API documentation. Additionally, users should be aware of any data privacy and usage restrictions that may apply to the retrieved investor information.

  • Filter decision makers data

    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.

  • Post funding milestone timeseries data

    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.

Connection

API and auth details

Crustdata provides company, person, job, web, and social-post APIs for search, enrichment, identification, autocomplete, content retrieval, and sales/recruiting/research data workflows through a versioned bearer-token REST surface.

FAQ

Questions people ask before connecting Crustdata

Can Claude Code use Crustdata?

Yes. Type lets an AI teammate use connected Crustdata actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.

Can Codex work with Crustdata through Type?

Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Crustdata catalog entry includes public integration details and example capabilities where available.

Is this the same as a Crustdata MCP server?

Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.

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