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Seamless AI API Essential Guide

Aug 18, 20246 minute read

What type of API does Seamless AI provide?

Based on the search results provided, I do not have any specific information about the type of API that Seamless AI uses (e.g. REST, GraphQL, SOAP). The search results do not mention Seamless AI or provide details about its API architecture.

To answer this question accurately, we would need to consult Seamless AI's official documentation or developer resources. Without that information, I cannot make a definitive statement about what type of API Seamless AI implements.

Some key points to consider:

  • Many modern web APIs use REST architecture due to its simplicity and flexibility. However, this is just a general trend and not specific to Seamless AI.

  • GraphQL has been gaining popularity for its ability to request exactly the data needed, but again, we don't know if Seamless AI uses it.

  • SOAP is still used in some enterprise environments but is less common for newer web APIs.

  • The actual API type used by Seamless AI would depend on their specific technical requirements and design choices.

To get an accurate answer, I would recommend:

  1. Checking Seamless AI's official API documentation if available.
  2. Contacting Seamless AI's developer support team directly.
  3. Examining any sample API requests/responses if provided in their documentation.

Without access to those resources, we cannot definitively state what type of API Seamless AI uses. The information is not contained in the provided search results.

Does the Seamless AI API have webhooks?

Based on the search results provided, there is no direct information about whether the official Seamless AI API has webhooks or what specific events you can subscribe to. However, I can provide some relevant information about integrating Seamless AI with webhooks using third-party platforms:

Integration with Webhooks

  1. Seamless AI can be integrated with webhooks using platforms like n8n and Zapier.

  2. These integrations allow you to create workflows that automate tasks and transfer data between Seamless AI and webhook services.

Key Points to Consider

  • While there's no mention of native webhook support in the Seamless AI API, you can use third-party integration platforms to achieve similar functionality.

  • n8n and Zapier both offer ways to connect Seamless AI with webhook services, allowing you to create custom workflows.

  • These integrations typically involve using HTTP Request nodes or custom API calls to interact with the Seamless AI API.

Integration Examples

  1. Using n8n:

    • You can create a workflow that connects Seamless AI and webhook nodes.
    • The integration involves configuring HTTP Request nodes to interact with the Seamless AI API.
  2. Using Zapier:

    • Zapier offers templates for creating webhook posts for new Seamless AI contacts.
    • You can create custom requests in Webhooks by Zapier for new contacts in Seamless AI.

Best Practices

  1. When setting up these integrations, ensure you have proper authentication set up for both Seamless AI and the webhook service.

  2. Familiarize yourself with the Seamless AI API documentation to understand the available endpoints and data structures.

  3. Use the platforms' testing features to verify your workflow before activating it.

While this information doesn't directly answer whether Seamless AI's official API has native webhook support, it provides alternatives for achieving similar functionality through third-party integrations. If you need specific information about native webhook support, it would be best to consult Seamless AI's official API documentation or contact their support team directly.

Rate Limits and other limitations

Based on the search results provided, there is no specific information about the API rate limits for the Seamless AI API. The search results primarily contain information about Seamless AI's pricing plans, features, and general information about their product. They do not include details about API rate limits.

However, I can provide some general information and best practices regarding API rate limits:

Key Points to Consider:

  1. API rate limits are typically implemented to prevent abuse and ensure fair usage of the service.

  2. Rate limits can be based on various factors such as:

    • Number of requests per minute/hour/day
    • Total data transferred
    • Complexity of queries
  3. Different pricing tiers or plans often have different rate limits.

  4. Exceeding rate limits usually results in temporary blocks or error responses (e.g., HTTP 429 Too Many Requests).

Best Practices:

  1. Check the official API documentation for specific rate limit information.

  2. Implement proper error handling in your code to deal with rate limit errors.

  3. Consider implementing request throttling or queueing mechanisms in your application.

  4. Use caching strategies to reduce the number of API calls when possible.

  5. Monitor your API usage to stay within the limits and plan for scaling if needed.

Recommendation:

Since the search results do not provide specific information about Seamless AI's API rate limits, I recommend:

  1. Checking the official Seamless AI API documentation for accurate and up-to-date information on rate limits.

  2. Contacting Seamless AI's support team directly for detailed information about API rate limits for your specific plan or use case.

  3. If you're actively using the API, monitor your usage and observe any rate limit errors you encounter to understand the practical limits of your current plan.

Remember that API rate limits can change over time, so it's always best to refer to the most current official documentation or contact the provider directly for the most accurate information.

Latest API Version

Unfortunately, I could not find any specific information about the most recent version of the Seamless AI API in the provided search results. The search results contain general information about Seamless AI as a company and platform, but do not mention API version details.

To get the most up-to-date and accurate information about the current version of the Seamless AI API, I would recommend:

  1. Checking the official Seamless AI developer documentation or API reference, if available.

  2. Contacting Seamless AI's support or developer relations team directly.

  3. Looking for any changelog or release notes on Seamless AI's website or developer portal.

  4. Reviewing any API documentation provided to you as a Seamless AI customer, if applicable.

Without access to official API documentation or version information, I cannot provide a definitive answer about the most recent API version. API versions can change frequently, so the most reliable source would be directly from Seamless AI itself.

How to get a Seamless AI developer account and API Keys?

Here's how to get a developer account for Seamless AI to create an API integration:

Steps to Explore Integration Options

  1. Contact Seamless AI Support: Reach out to Seamless AI's customer support team to inquire about API access or developer options. They may have programs not publicly advertised.

  2. Explore Existing Integrations: Review Seamless AI's current integration offerings to see if they meet your needs without custom API development.

  3. Consider Alternatives: If Seamless AI doesn't offer developer access, you may need to explore alternative data providers that do offer public APIs for sales intelligence data.

  4. Evaluate Custom Solutions: For enterprise clients, Seamless AI may offer custom integration solutions. Discuss your specific requirements with their sales team.

Best Practices

  • Clearly define your integration requirements before reaching out to Seamless AI.
  • Be prepared to explain your use case and why existing integrations may not meet your needs.
  • Consider data privacy and security implications when working with sales intelligence data.

What can you do with the Seamless AI API?

Based on the search results provided, here are the key data models you can interact with using the Seamless AI API, along with what is possible for each:

Company Data Model

  • Access comprehensive company information including:

    • General company details (name, website, industry, etc.)
    • Firmographic data
    • Company size and employee count
    • Revenue information
    • Social media profiles
    • Company location data
  • Ability to search and filter companies based on various criteria

  • Enrich existing company records with additional data points

  • Identify total addressable market (TAM) for a given industry or segment

Contact Data Model

  • Access detailed contact information for individuals including:

    • Name, job title, company
    • Email addresses
    • Phone numbers
    • Social media profiles
    • Work history
  • Search and filter contacts based on criteria like job title, company, industry, etc.

  • Verify and enrich existing contact records

  • Track job changes and career moves

Intent Data Model

  • Access buyer intent signals and data
  • Identify prospects showing buying intent for specific products/services
  • Score and prioritize leads based on intent signals

Social Data Model

  • Access social media insights and data for companies and contacts
  • View social engagement metrics
  • Analyze social presence and activity

Integration Data Model

  • Push and pull data between Seamless AI and CRM/sales tools
  • Sync contact and company data with platforms like Salesforce, HubSpot, etc.
  • Automate workflows between Seamless AI and other tools

Search/Query Model

  • Perform real-time searches across company and contact databases
  • Use advanced filtering and targeting options
  • Access AI-powered search capabilities

List Building Model

  • Create and manage targeted prospect lists
  • Use AI to automatically build lists based on criteria
  • Update and refresh list data automatically

While the search results don't provide an exhaustive API reference, these appear to be the core data models that can be interacted with via the Seamless AI platform and API based on the product descriptions and capabilities mentioned. The API likely provides methods to search, retrieve, and in some cases update or enrich these different types of data.