open-index/open-npm huggingface dataset:
npm package: @pipedream/dadata_ru
Description: Pipedream dadata_ru Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

With the DaData.ru API, you can enrich, clean, and autocomplete various types of data, including addresses, names, and company details. This powerful tool can be used to enhance the quality of user input, automate data normalization, and conduct insightful analysis on datasets. Specifically, it can help verify and format addresses to ensure delivery accuracy, deduplicate and correct database entries, and provide auto-suggestions for form fields, improving user experience and backend data consistency.

# Example Use Cases

- **Address Validation for E-commerce Checkouts**: Integrate DaData.ru with an e-commerce platform to validate and correct shipping addresses as customers input their details. This ensures accurate deliveries and reduces the risk of returns due to incorrect address information.

- **Lead Enrichment for CRM**: Use DaData.ru to automatically enrich incoming leads with additional data before they are entered into a Customer Relationship Management (CRM) system like Salesforce. This could include verifying company names, adding industry information, and standardizing phone numbers, thus saving time and improving the quality of lead data for sales teams.

- **Automated Contacts Deduplication**: Connect DaData.ru with an email marketing tool, such as Mailchimp, to clean and deduplicate contact lists. This process could involve normalizing phone numbers and addresses, merging duplicate records, and validating email addresses to improve campaign quality and engagement rates.
npm package: @pipedream/daffy
Description: Pipedream Daffy Components
Author: Pipedream
Latest version: 0.1.1

# Overview

The Daffy API lets you drive charitable giving through its platform. With Pipedream, you can automate donations, manage donor data, and integrate charitable actions within your existing workflows. You can trigger actions based on diverse events, like donations or new user registrations, and connect with other apps to streamline and scale your impact.

# Example Use Cases

- **Automate Acknowledgements for Donations**: Create a workflow that detects new donations through the Daffy API, then triggers an email or a message via Twilio or SendGrid to thank the donor automatically. This builds strong relationships with donors by ensuring they're appreciated promptly.

- **Sync Donation Data with CRM**: When a new donation is recorded on Daffy, use Pipedream to send that data to a CRM system like Salesforce or HubSpot. This keeps your donor records up-to-date and enables personalized outreach or future fundraising campaigns.

- **Trigger Corporate Gift Matching**: Set up a workflow where you monitor for new donations on Daffy, then check with a service like Double the Donation to see if the donor’s employer matches gifts. If they do, automatically initiate the matching gift process, maximizing the donation's impact.
npm package: @pipedream/daily
Description: Pipedream daily Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

Daily API offers a suite of powerful video and audio capabilities, enabling the creation, management, and customization of real-time video and audio calls directly within your applications. Pipedream, as a serverless integration and automation platform, empowers users to connect Daily with various other apps to automate workflows. Whether you're looking to synchronize meeting data with project management tools, kick off post-meeting workflows, or manage recordings at scale, Pipedream provides the infrastructure to streamline these processes.

# Example Use Cases

- **Automated Meeting Summaries:** After a Daily call ends, trigger a workflow on Pipedream that captures call metadata, transcribes audio recordings, and sends a summary email to all participants using the Gmail app.

- **Meeting Scheduler with Calendar Integration:** Set up a Pipedream workflow that listens for new events in a Google Calendar, automatically creates corresponding Daily meeting rooms, and then emails the meeting links to attendees using the Gmail app.

- **Post-Call Feedback Collection:** Initiate a Pipedream workflow once a Daily meeting concludes to send a feedback form via Typeform to all participants, then collect and store responses in a Google Sheet for analysis.
npm package: @pipedream/dandelion
Description: Pipedream dandelion Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

The Dandelion API is a text analysis toolkit that allows for understanding and extracting information from texts in various languages. On Pipedream, you can leverage this API to automate workflows that involve natural language processing tasks like sentiment analysis, entity recognition, and language detection. These capabilities enable developers to create applications that can interpret user input, analyze social media sentiment, categorize content, and more, all within a serverless platform.

# Example Use Cases

- **Sentiment Analysis on Support Tickets**: Automatically scan incoming customer support tickets for sentiment using the Dandelion API. This workflow could flag negative sentiments and escalate them to higher-priority queues or alert managers for immediate intervention. Connect to a CRM like Salesforce to log and track these communications effectively.

- **Content Categorization for CMS**: Before publishing articles in a Content Management System (CMS), use the Dandelion API to categorize content based on the topics detected in the text. This can be used to automate tagging and improve content discoverability. Integrate with WordPress or another CMS on Pipedream to streamline the publishing process.

- **Social Media Monitoring for Brand Management**: Combine Dandelion's entity recognition with social media APIs to monitor mentions of your brand or products. When a mention is detected, analyze the post's sentiment and extract key entities. These insights can trigger follow-up actions like sending a thank you response to positive mentions or alerting PR teams to potential issues on platforms like Slack or via email.
npm package: @pipedream/darksky_api
Description: Pipedream darksky_api Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

The DarkSky API offers detailed weather information that includes minute-by-minute forecasts, hourly forecasts, and daily summaries. By harnessing this API on Pipedream, you can automate tasks like sending alerts, integrating weather data into event planning platforms, or tailoring content based on weather conditions. With Pipedream’s serverless platform, these use cases become straightforward to implement, and you can trigger workflows with new weather data, schedule checks at regular intervals, or even react to changes in forecasted conditions.

# Example Use Cases

- **Weather-Based Content Personalization**: Tailor user experiences by integrating DarkSky with a content management system (CMS). For instance, trigger a workflow that updates your website's featured products based on the current weather, promoting umbrellas on rainy days or sunglasses when it's sunny.

- **Event Weather Preparedness**: Connect DarkSky to a calendar or event management app to monitor forecasted conditions for upcoming events. Automate notifications to event attendees, suggesting they bring a coat if it's going to be cold, or reschedule outdoor activities if a storm is on the horizon.

- **Personal Weather Notifications**: Create a personalized weather notification system. Use DarkSky's data to send daily weather summaries or severe weather alerts to your phone via SMS or messaging apps like Slack, keeping you informed and ready for the day's conditions.
npm package: @pipedream/darwinbox
Description: Pipedream Darwinbox Components
Author: Pipedream
Latest version: 0.0.4

# Overview

Darwinbox is a cloud-based Human Resources Management System (HRMS) that streamulates HR processes from recruitment to retirement. With the Darwinbox API, you can automate various HR tasks such as employee onboarding, performance appraisals, and leave management. The API allows you to synchronize employee data across different systems, automate HR workflows, and build custom integrations to extend the capabilities of your HR tech stack.

# Example Use Cases

- **Automated Employee Onboarding**: Trigger a workflow in Pipedream when a new employee is added in Darwinbox. This workflow can send a welcome email, create accounts in third-party services like Slack or G Suite, and add the new hire to relevant Asana projects for onboarding tasks.

- **Leave Request Approval**: Set up a workflow that listens for leave requests in Darwinbox. When a request is detected, the workflow can automatically post a message in a manager's Slack channel for approval. Once approved, the workflow updates the leave status in Darwinbox and syncs the information with a Google Calendar.

- **Performance Review Reminders**: Create a Pipedream workflow that runs on a schedule to check for upcoming performance reviews in Darwinbox. If a review is due, the workflow can send reminder emails to the employees and their managers, and post a reminder in the team's project management tool, like Trello, to ensure the review is completed in time.
npm package: @pipedream/data247
Description: Pipedream Data247 Components
Author: Pipedream
Latest version: 0.0.3

# Overview

Data247 is a powerful service that provides real-time data such as phone carrier lookup, email to SMS gateway, text/SMS verification, and append information (e.g., appending carrier data to phone numbers). By leveraging Data247 with Pipedream, you can automate various data enrichment processes, validate customer contact details, or integrate enhanced data insights into your business workflows. This empowers you to maintain data accuracy, streamline communication strategies, and customize user experiences based on rich data sets.

# Example Use Cases

- **Lead Enrichment for CRM**  
  Automate the enrichment of new leads by appending carrier information to phone numbers as they enter your CRM. This can help in segmenting leads based on carrier or geolocation, optimizing communication strategies.

- **User Verification Workflow**  
  Implement an automated system that uses Data247's text/SMS verification to confirm user identities. Once a user signs up, trigger a Pipedream workflow to send a verification code and verify the user’s phone number, enhancing security.

- **Marketing Automation Customization**  
  Tailor marketing campaigns by using Data247's email to SMS gateway service within a Pipedream workflow. Convert email addresses to SMS gateways, send targeted messages, and track engagement metrics for campaign optimization.
npm package: @pipedream/data_axle_platform
Description: Pipedream Data Axle Platform Components
Author: Pipedream
Latest version: 0.0.4

# Overview

Data Axle Platform API gives you access to rich datasets encompassing business, consumer, and donor information. It can empower your Pipedream workflows to execute potent data-driven strategies, such as enriching leads, verifying business details, and tailoring marketing campaigns based on demographic insights. You can tap into this well of information, integrate it with other apps, and automate actions based on the data you query.

# Example Use Cases

- **Lead Enrichment for CRM Systems**: Integrate Data Axle with your CRM platform on Pipedream, such as Salesforce or HubSpot. Whenever a new lead is added to your CRM, trigger a workflow that uses Data Axle to enrich the lead's information. This can provide your sales team with more context and improve the chances of conversion.

- **Automated Data Verification for E-commerce Platforms**: Combine Data Axle with your e-commerce app like Shopify. Set up a Pipedream workflow that validates and augments business information of vendors or partners automatically upon their registration on your platform. This ensures you're working with credible entities and maintains the integrity of your marketplace.

- **Demographic-Based Marketing Automation**: Use Data Axle to fetch demographic data and connect it with a marketing automation tool like Mailchimp on Pipedream. Create workflows that segment your audience and send personalized marketing campaigns based on demographic insights obtained from Data Axle, enhancing customer engagement and campaign performance.
npm package: @pipedream/data_stores
Description: Pipedream Data Stores Components
Author: Pipedream
Latest version: 0.1.10

# Overview

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

# Example Use Cases

- **User Activity Dashboard**: Aggregate event data from various sources like webhooks, timestamp them, and store in a Data Store. Then, use this data to power a real-time dashboard that displays user activities across your app. Connect with Google Sheets to periodically sync and create historical reports.

- **Inventory Management System**: Monitor stock levels by writing inventory changes to a Data Store whenever sales or new stock events occur. Create workflows that trigger alerts when items are low in stock or auto-generate purchase orders to suppliers by integrating with an email service like SendGrid.

- **Feature Flag Toggle**: Use a Data Store to manage feature flags for your application. Update the flags in real-time through Pipedream's API and have your app query the Data Store to toggle features on or off without deploying new code. Enhance it by connecting with Slack to notify your team when features are toggled.
npm package: @pipedream/database
Description: Pipedream Database Components
Author: Pipedream
Latest version: 0.1.5

# Overview

The Database API on Pipedream allows users to execute SQL commands directly within workflows, enabling rich and dynamic data manipulation and storage. It supports PostgreSQL, MySQL, and SQLite, making it a versatile option for managing data across various database systems. With this API, users can perform tasks such as data insertion, querying, updates, and deletions, directly within their automations, facilitating real-time data processing and integration across multiple platforms.

# Example Use Cases

- **Customer Data Sync Across Platforms**: Automatically sync customer data between a CRM platform like Salesforce and a PostgreSQL database on Pipedream whenever new data is entered or updated in Salesforce. This workflow ensures that all customer information remains consistent and up-to-date across enterprise systems.

- **Real-time Analytics Dashboard Update**: Set up a workflow that pulls new transaction data from an e-commerce platform (e.g., Shopify) into a MySQL database every hour and processes this data to update a real-time analytics dashboard. This can help in monitoring sales trends, customer behavior, and inventory levels, providing actionable insights almost instantly.

- **Automated Backup of Critical Data**: Create a nightly workflow that backs up critical data from a production database to a SQLite database on Pipedream. This can include important transaction data, user information, or any other data deemed critical for business operations, ensuring data safety and compliance with data governance standards.
npm package: @pipedream/databox
Description: Pipedream Databox Components
Author: Pipedream
Latest version: 0.0.2

# Overview

You can use the Databox API to build a variety of applications, including:

- A dashboard for tracking your business performance
- A data visualization tool for exploring your data
- A report builder for creating custom reports
- An alerts system for monitoring your data in real-time
- A data management tool for organizing your data
npm package: @pipedream/databricks
Description: Pipedream Databricks Components
Author: Pipedream
Latest version: 0.5.0

# Overview

The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.

# Example Use Cases

- **Automated Cluster Management**: Set up workflows on Pipedream to monitor cluster performance metrics and automatically scale clusters up or down based on predefined rules. This can help optimize costs and ensure performance without manual intervention.

- **Dynamic Job Triggering with GitHub**: Create a workflow that triggers a Databricks job whenever a new commit is pushed to a specific GitHub repository. This can be used for continuous integration and deployment (CI/CD) of data processing tasks, such as ETL jobs or machine learning model training.

- **Event-Driven Data Pipelines with Amazon S3**: Construct a serverless data pipeline on Pipedream that kicks off a Databricks job when a new file is uploaded to an Amazon S3 bucket. Use this workflow to process and analyze data in near-real-time, enabling quicker insights and decision-making.
npm package: @pipedream/datadog
Description: Pipedream Datadog Components
Author: Pipedream
Latest version: 0.4.0

# Overview

The Datadog API, accessible through Pipedream, empowers you to programmatically interact with Datadog's monitoring and analytics platform. This enables developers to automate the retrieval of monitoring data, manage alert configurations, and synchronize service health information across systems. With Pipedream's serverless execution model, you can create intricate workflows that react to Datadog events or metrics, manipulate the data, and pass it on to other services or even Datadog itself for a cohesive operational ecosystem.

# Example Use Cases

- **Incident Management Integration**: Whenever Datadog detects an anomaly or a threshold breach, you can automate the creation of an incident ticket in a system like Jira or PagerDuty. This workflow ensures that your team promptly addresses service disruptions, and maintains a record of incidents for post-mortems.

- **Slack Alert Summarization**: Configure a workflow that listens to Datadog alerts and processes them to extract key details. It can then send a well-formatted and concise summary directly to a designated Slack channel. This keeps your team informed without the noise of raw alerts, enabling quicker response times.

- **Automated Metric Reporting**: Build a workflow that periodically fetches key performance metrics from Datadog and compiles them into a report. This report can be sent to Google Sheets, emailed to stakeholders, or even pushed back into Datadog as an event for record-keeping. It streamlines reporting tasks and ensures consistent visibility into system performance.
npm package: @pipedream/dataforseo
Description: Pipedream DataForSEO Components
Author: Pipedream
Latest version: 0.4.0

# Overview

The DataForSEO API offers a robust suite of tools for SEO analytics and research, providing data on rankings, keywords, competitor analysis, and SERP features. Integrating DataForSEO with Pipedream enables you to automate the collection of SEO data, monitor keyword positions, trigger actions based on SEO insights, and enrich your marketing or analytics platforms with up-to-date search data.

# Example Use Cases

- **SEO Dashboard Reporting**: Automate the extraction of keyword rankings and search volume data daily. Use this data to populate a Google Sheets SEO dashboard, offering real-time insights for decision-making.

- **Content Alert System**: Monitor your website's content performance by setting up an alert system with Slack or email. When specific keywords achieve or lose targeted rankings, send notifications to keep your content team informed.

- **Competitor Analysis Workflow**: Schedule regular retrieval of competitor SEO data and integrate it with a CRM like HubSpot. This enables you to track competitor movements, update sales strategies, and identify potential leads based on market changes.
npm package: @pipedream/datanews
Description: Pipedream datanews Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

Datanews is a powerful API that allows you to build all sorts of applications.
Here are some examples of what you can build:

- A news aggregator that pulls in articles from all over the web
- A personal news feed that only displays articles that are relevant to you
- A social media platform that allows users to share articles and engage in
  discussion
- A platform that allows journalists to collaborate on articles
- A tool that allows you to monitor the news and track the spread of
  information
npm package: @pipedream/datarobot
Description: Pipedream datarobot Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

DataRobot offers an AI platform that empowers users to build and deploy predictive models. Through its API, you can manage datasets, kick off model training, retrieve predictive scores, and integrate machine learning insights into your business processes. With Pipedream, you can create serverless workflows that leverage DataRobot's capabilities, enabling a powerful synergy between machine learning and everyday business automation.

# Example Use Cases

- **Automated Lead Scoring**: Integrate DataRobot with a CRM like Salesforce in Pipedream. As new leads come in, trigger a workflow that sends the lead data to DataRobot, runs a prediction to score the lead's likelihood to convert, and then updates the lead score in Salesforce. This ensures that sales teams focus on the most promising leads.

- **Real-time Fraud Detection**: Link DataRobot with transactional systems such as Stripe. When a new transaction occurs, a Pipedream workflow can invoke DataRobot to analyze the transaction for potential fraud. If a high probability of fraud is detected, the workflow can automatically flag the transaction and alert your risk management team.

- **Dynamic Pricing Adjustments**: Combine DataRobot with an eCommerce platform like Shopify. Set up a Pipedream workflow that triggers whenever a new order is placed. The workflow sends the order data to DataRobot to predict demand and suggests price adjustments. This can help optimize revenue by dynamically pricing products based on changing market conditions.
npm package: @pipedream/datascope
Description: Pipedream datascope Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

DataScope is a versatile API for data collection and management, ideal for streamlining workflows that involve forms, surveys, or data entry. With DataScope, you can automate the consolidation of data gathered from various sources, analyze submissions in real-time, and trigger actions based on incoming data. It’s a powerhouse for anyone looking to digitize and automate paper-based processes, conduct field research, or collect structured data on the go.

# Example Use Cases

- **Automated Survey Data Aggregation**: Use DataScope to collect responses from surveys or forms. With Pipedream, you can automatically transfer these responses to a Google Sheets document for easy analysis and sharing. This workflow can be set to run every time a new response is received, ensuring your data is always up-to-date.

- **Customer Feedback to CRM Integration**: Gather customer feedback through DataScope forms. Pipedream can funnel this information into your Customer Relationship Management (CRM) system, like Salesforce or HubSpot. This helps keep customer data centralized, and allows for automated follow-up actions, such as triggering customer service processes or updating contact records with new insights.

- **Field Research Data Processing**: For field research data collected via DataScope, set up a Pipedream workflow to parse, validate, and store this data in a cloud database like AWS RDS or MongoDB. Additionally, Pipedream can send notifications to team members on Slack or via email when new data meets certain criteria, enabling prompt analysis and decision-making.
npm package: @pipedream/dataset
Description: Pipedream DataSet Components
Author: Pipedream
Latest version: 0.0.3

# Overview

The DataSet API enables you to manage and analyze large datasets. With Pipedream's integration, you can automate data ingestion, transformation, and analysis, create serverless workflows that respond to data events, and connect with other apps to enrich and utilize your datasets. Utilize Pipedream's serverless platform to trigger workflows, perform actions based on DataSet events, and orchestrate complex data processes with minimal setup.

# Example Workflows

- **Data Enrichment and Analysis Workflow**: Ingest raw data from various sources into DataSet using Pipedream's HTTP / Webhook triggers. Transform and enrich the data by integrating with apps like Clearbit for adding company information. Analyze enriched data within DataSet and send insights to a Slack channel for real-time decision-making.

- **Automated Data Backup Workflow**: Schedule regular backups of your DataSet data to cloud storage platforms like Google Drive or Dropbox using Pipedream’s cron job feature. This can ensure data redundancy and safety, creating a historical archive of your dataset changes over time.

- **Real-time Alerts and Monitoring Workflow**: Monitor your DataSet for specific changes or thresholds using Pipedream's scheduled tasks. When a particular condition is met, trigger notifications through apps like Twilio to send SMS alerts or use SendGrid to dispatch email notifications, keeping relevant stakeholders informed instantly.
npm package: @pipedream/datawaves
Description: Pipedream datawaves Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

The Datawaves API offers rich functionality for tracking and analyzing user interactions on websites and applications. With this API, you can capture events, analyze user behavior, and gain insights that drive decision-making for product enhancements and personalized user experiences. On Pipedream, you can harness these capabilities to create automated workflows that respond to data collected by Datawaves in real-time, integrate with other services, and streamline analytics processes.

# Example Use Cases

- **User Engagement Reporting**: Automate the generation of user engagement reports by triggering a Pipedream workflow every time a new event is captured by Datawaves. The workflow could aggregate event data and filter based on specific user actions, then format this data into a report and send it through email or post it on a Slack channel for immediate review by your team.

- **Real-time User Behavior Alerts**: Set up a workflow that listens for specific high-value events captured by Datawaves, such as a user completing a purchase or reaching a particular milestone in your app. When such an event occurs, the workflow can trigger personalized notifications, send out discount codes via SMS using Twilio, or even trigger additional in-app actions to enhance user satisfaction.

- **A/B Test Analysis**: When running A/B tests on your website, utilize Datawaves with Pipedream to track the performance of different test variations. Create workflows that automatically collect test data, then use this data to determine the winning variation. Integrate with Google Sheets to log this data for further analysis, or connect with a visualization tool like Google Data Studio to create dynamic, real-time dashboards.
npm package: @pipedream/datumbox
Description: Pipedream Datumbox Components
Author: Pipedream
Latest version: 0.0.3

# Overview

The Datumbox API offers a robust suite of Machine Learning services that can enrich your applications with advanced text analysis, sentiment analysis, classification, and more. Leveraging this API on Pipedream allows you to create powerful serverless workflows that connect Datumbox's capabilities with numerous other apps and services. Automate content categorization, extract insights from user feedback, or monitor social media sentiment in real-time.

# Example Use Cases

- **Content Classification Automation**: Automatically categorize articles, blog posts, or web content as they are published. Set up a Pipedream workflow where a webhook triggers the process whenever new content is detected. The text is sent to Datumbox for classification, and the results are posted to a Slack channel or logged into a Google Sheet for editorial review.

- **Customer Feedback Analysis**: Integrate Datumbox with a customer support tool like Zendesk. When a customer submits feedback or a support ticket, the text is analyzed by Datumbox to determine sentiment and main topics. This analysis can help prioritize urgent tickets and gather insights, which are then stored in a CRM like Salesforce or HubSpot.

- **Social Media Sentiment Monitoring**: Connect Datumbox to Twitter via Pipedream. Create a workflow that monitors tweets mentioning your brand, uses the Datumbox API to assess the sentiment, and triggers different actions based on the result. Positive tweets might be retweeted or added to a testimonial database, while negative ones could trigger alerts to your customer service team.
npm package: @pipedream/dbt
Description: Pipedream dbt Cloud Components
Author: Pipedream
Latest version: 0.2.1

# Overview

The dbt Cloud API allows users to initiate jobs, check on their status, and interact with dbt Cloud programmatically. On Pipedream, you can harness this functionality to automate workflows, such as triggering dbt runs, monitoring your data transformation jobs, and integrating dbt Cloud with other data services. By leveraging Pipedream's serverless platform, you can create custom workflows that act on dbt Cloud events or use the dbt Cloud API to manage your data transformation processes seamlessly.

# Example Use Cases

- **Trigger dbt Cloud Jobs from GitHub Pushes**: Automatically start a dbt Cloud job when changes are pushed to specific branches in your GitHub repository. This ensures that your data transformations are always in sync with your latest codebase.

- **Monitor dbt Cloud Job Statuses and Alert via Slack**: Set up a workflow on Pipedream that polls dbt Cloud job statuses at regular intervals. If a job fails or completes, send an alert with job details to a designated Slack channel, keeping your team informed in real time.

- **Sync dbt Cloud Metadata with Google Sheets**: Extract metadata from completed dbt Cloud jobs and append it to a Google Sheet. This workflow can help you build a custom log or report, providing insights into your data transformation jobs without needing to access dbt Cloud's interface.
npm package: @pipedream/dear
Description: Pipedream Dear Components
Author: Pipedream
Latest version: 0.3.8

# Overview

With the DEAR Systems API, you can build a range of applications that can
automate your business processes. Below are some examples of what you can
build:

- An application to automatically generate invoices and send them to customers
- A system to track inventory levels and send alerts when levels are low
- An app to manage sales orders and send shipping notifications
- A tool to streamline your purchasing process by integrating with supplier
  systems
npm package: @pipedream/deepgram
Description: Pipedream Deepgram Components
Author: Pipedream
Latest version: 1.0.2

# Overview

The Deepgram API offers powerful speech recognition capabilities, enabling you to transcribe, search, and analyze audio data with ease. With its cutting-edge machine learning models, you can uncover insights from voice conversations, automate content moderation, and enhance user experience by converting spoken words into text. Pipedream, as a serverless integration platform, empowers you to craft custom workflows that harness the potential of Deepgram. By connecting to various apps, you can automate complex tasks, analyze audio data on-the-fly, and respond to audio-driven events.

# Example Use Cases

- **Voice-Driven Content Creation**: Tap into podcast episodes or webinars by transcribing the audio with Deepgram, then use Pipedream to push the text to a content management system like WordPress. This workflow can simplify content repurposing, making it searchable and accessible.

- **Customer Support Analysis**: Automatically transcribe customer support calls with Deepgram, then analyze sentiment and keywords using the Pipedream workflow to integrate with apps like Google Sheets or Airtable. You can track trends, monitor service quality, and identify areas for improvement.

- **Real-Time Translation and Subtitling**: Use Deepgram to transcribe live audio streams and leverage Pipedream to connect with a translation service like Google Translate. You can then output real-time subtitles to a streaming platform or broadcast service, breaking down language barriers.
npm package: @pipedream/deepl
Description: Pipedream DeepL Components
Author: Pipedream
Latest version: 0.0.3

# Overview

The DeepL API provides a powerful machine translation service, allowing you to translate text between languages with a high degree of accuracy and nuance. Leveraging the DeepL API on Pipedream, you can automate multilingual content creation, streamline communication in different languages, and enrich apps with instant translation features. The integration possibilities are vast, enabling you to weave translation capabilities into various workflows, data processing, and content management systems.

# Example Use Cases

- **Content Localization Workflow**: Automatically translate blog posts or articles into multiple languages as soon as they are published. A Pipedream workflow can be triggered by a new post event from a CMS like WordPress, which then sends the content to DeepL for translation and posts the translated versions to the respective language-specific sections of the site.

- **Customer Support Automation**: Integrate DeepL with a customer support ticketing system such as Zendesk. When a non-English support ticket is received, use Pipedream to trigger a translation workflow that translates the ticket to English, allowing support staff to respond effectively. Once the response is crafted, translate it back to the customer's language and update the ticket.

- **Real-time Chat Translation**: Connect DeepL to a messaging platform like Slack to create a real-time chat translation bot. When messages are posted in a multilingual Slack channel, Pipedream can catch these messages, translate them through DeepL, and post the translated text back into the channel, enabling seamless cross-language team communication.
npm package: @pipedream/degreed
Description: Pipedream Degreed Components
Author: Pipedream
Latest version: 0.0.4

# Overview

The Degreed API enables automated interactions with the Degreed platform, a hub for professional growth and learning. Through this API, you can programmatically access user data, learning content, pathways, and more. By leveraging Pipedream, users can design custom workflows that integrate Degreed's learning management capabilities with other services to streamline processes, report on progress, sync data across platforms, and even curate learning content based on specific triggers or criteria.

# Example Use Cases

- **Automated Learning Progress Reports**: Send weekly learning progress reports from Degreed to Slack. Utilize the Degreed API to gather user progress and then create a formatted message sent to a designated Slack channel to keep teams updated on their learning milestones.

- **Content Completion Trigger for Certificates**: When a user completes a learning path in Degreed, trigger a workflow in Pipedream that generates a certificate in Canva and emails it to the user via SendGrid. This workflow enables automatic recognition of user achievements, enhancing motivation and engagement.

- **Cross-Platform Learning Path Synchronization**: Sync learning paths between Degreed and an internal company wiki or LMS like Moodle. When a new learning path is created in Degreed, the Pipedream workflow detects the change and updates the company's internal platforms, ensuring that all learning resources are consistently available across all systems.
npm package: @pipedream/delay
Description: Pipedream delay Components
Author: Pipedream support@pipedream.com
Latest version: 0.6.0

# Overview

The Delay API in Pipedream is a built-in function that allows you to pause a workflow for a specified amount of time. This can be incredibly useful when you need to stagger API calls to avoid rate limits, wait for an external process to complete, or simply introduce a delay between actions in a sequence. With precision up to milliseconds, the Delay API provides a simple yet powerful tool for managing timing in automation workflows.

# Example Use Cases

- **Scheduled Content Release**: Automate a content publication process where blog posts or social media updates are staggered over time. After an initial post is published, use the Delay API to wait for a few hours before the next piece of content goes live.

- **Rate Limit Management**: When working with APIs that have strict rate limits, you can insert a delay between requests to stay within the rate limit. For example, after making an API call to fetch data from an app like Twitter, add a delay before making another call.

- **Drip Email Campaigns**: For marketing automation, you can use the Delay API to send out a series of emails over a period of days or weeks. After sending an initial welcome email using an email service like SendGrid, apply a delay before sending a follow-up email offering a discount or additional information.
npm package: @pipedream/demio
Description: Pipedream Demio Components
Author: Pipedream
Latest version: 0.0.7

# Overview

Demio, a webinar platform, offers an API that lets you automate various aspects of your webinar experience. With the Demio API on Pipedream, you can seamlessly integrate webinar registration, attendance tracking, and follow-up actions into your business workflows. Pipedream's serverless platform facilitates the creation of complex automations that can trigger actions based on events in Demio, connecting it with 3,000+ other apps for a cohesive ecosystem.

# Example Use Cases

- **Webinar Registration Sync:** Automatically sync new webinar registrations from Demio to your CRM platform, like Salesforce. Each time a new attendee registers for a webinar in Demio, a corresponding lead or contact can be created or updated in Salesforce, keeping all customer touchpoints in sync.

- **Post-Webinar Engagement:** Trigger an email or SMS campaign using SendGrid or Twilio for attendees who participated in a webinar. Using the attendee data from Demio, craft personalized follow-up messages thanking attendees, providing additional resources, or offering special promotions.

- **Attendance-Based Project Management:** Connect Demio to a project management tool like Trello or Asana. After a webinar ends, automatically create tasks for sales or support teams to follow up with attendees based on their participation level, ensuring that no potential lead falls through the cracks.
npm package: @pipedream/deployhq
Description: Pipedream DeployHQ Components
Author: Pipedream
Latest version: 0.0.4

# Getting Started

DeployHQ doesn't provide a way to automatically setup webhooks so sources will need to be registered with DeployHQ manually. The source will need to be registered as an [HTTP POST Integration](https://www.deployhq.com/support/integrations/http-post).

1. Create a source
2. In DeployHQ go to "Integrations" > "New Integration" > "HTTP POST"
3. Copy the endpoint from the source to the "Endpoint" field in DeployHQ
4. Select the option that matches your source from the "Trigger integration when..." list. For the source to work you must select at least the type of event that matches the source, e.g. "A deployment starts" for the "Deploy Started" source.
5. Select the servers and groups you would like your source to emit events for.
6. Click "Create integration"
npm package: @pipedream/deputy
Description: Pipedream Deputy Components
Author: Pipedream
Latest version: 0.0.1

# Overview

Deputy is a robust workforce management tool, catering to scheduling, timesheet tracking, and other employee coordination tasks. Leveraging the Deputy API on Pipedream allows you to automate mundane tasks, sync data across platforms, and create custom notifications based on employee actions. You could build workflows to manage shifts, sync employee details with HR systems, or trigger payroll processes, harnessing Pipedream's capability to integrate with various services without the need for manual coding.

# Example Use Cases

- **Automate Timesheet Reporting**: Pull timesheets from Deputy as they're submitted and feed them into a Google Sheets document. This is great for streamlining payroll processes or providing regular reports to management on employee hours.

- **Scheduling Sync-Up**: When a new shift is published or updated in Deputy, trigger a workflow that syncs this info with a shared company calendar on Office 365 or Google Calendar, keeping everyone informed and up-to-date.

- **Employee Onboarding**: When a new employee is added to Deputy, automatically send their details to an HR system like BambooHR or Workday, and enroll them in necessary training courses via an LMS like Lessonly or TalentLMS.
npm package: @pipedream/detectify
Description: Pipedream Detectify Components
Author: Pipedream
Latest version: 0.1.0

# Overview

The Detectify API provides a powerful interface for automating and integrating continuous web application security testing into your development cycle. With this API, you can programmatically start scans, fetch scan profiles, retrieve findings, and manage your Detectify domain assets. When leveraged through Pipedream, you can create serverless workflows that trigger actions in other apps based on the results from Detectify, ensuring timely responses to security threats and streamlining your DevSecOps processes.

# Example Use Cases

- **Automate Scanning After Deployment**: Trigger a Detectify scan automatically post-deployment from your CI/CD pipeline. Use a webhook to signal a Pipedream workflow that deploys code, and then start a security scan on the updated application.

- **Slack Alerts for Critical Findings**: Set up a workflow to check for new findings from Detectify on a schedule. Filter for critical security issues and send a summary directly to your security team's Slack channel, facilitating immediate action.

- **Triage Issues with Jira**: Automatically create Jira tickets for new security findings classified as high risk. This workflow can parse the output from Detectify, create a ticket in Jira with relevant details, and assign it to the appropriate team for resolution.
npm package: @pipedream/detrack
Description: Pipedream Detrack Components
Author: Pipedream
Latest version: 0.0.5

# Overview

The DeTrack API offers the functionality to track deliveries and vehicles, manage delivery-related data, and automate communication between logistics stakeholders. Leveraging the DeTrack API on Pipedream, you can create a seamless flow of delivery information, reduce manual work, and keep all parties up-to-date with real-time notifications. This API’s capabilities when integrated into workflows can streamline inventory management, enhance customer service, and optimize delivery operations.

# Example Use Cases

- **Automated Delivery Status Updates to Customers**: Track delivery status through DeTrack and automatically send SMS or email notifications to customers via Twilio or SendGrid when their order status changes. This keeps the customer informed at every step of the delivery process without manual intervention.

- **Synchronize Delivery Data with Inventory Management Systems**: As deliveries are completed, use the DeTrack API within a Pipedream workflow to update inventory levels in an inventory management system like QuickBooks or Airtable. This real-time synchronization helps maintain accurate stock levels and can trigger restocking workflows if needed.

- **Real-Time Dashboard for Delivery Operations**: Collect live data from the DeTrack API and feed it into a BI tool such as Google Data Studio or Tableau on Pipedream. This creates a real-time operational dashboard that visualizes delivery metrics, helping decision-makers to identify bottlenecks and improve logistics efficiency.
npm package: @pipedream/dev_to
Description: Pipedream Dev_to Components
Author: Pipedream
Latest version: 0.3.10

# Overview

The Dev.to API enables programmatic interaction with Dev.to, a community for software developers to share articles and engage with content. Through the API, you can automate content creation, management, and analysis. Accessing user articles, managing comments, and triggering actions based on Dev.to events are just a few capabilities at your disposal. By leveraging these with Pipedream's serverless platform, you can craft powerful automations that respond in real-time to activities on Dev.to, streamlining your content strategy and community engagement.

# Example Use Cases

- **Content Synchronization**: Sync new Dev.to articles to other platforms like Medium or your personal blog. When a new article is published on Dev.to, Pipedream can automatically format and post it to other platforms, keeping your content consistent across the web.

- **Social Media Sharing**: Amplify your content reach by auto-sharing published Dev.to articles to social networks such as Twitter or LinkedIn. Once your article goes live, trigger a Pipedream workflow that posts a tailored message with the article link to your social profiles.

- **Comment Moderation Alert System**: Maintain a healthy community by setting up a comment moderation alert system. Use Pipedream to monitor new comments on your Dev.to articles, applying sentiment analysis via a machine learning API. Get instant notifications for negative sentiments allowing you to respond or moderate quickly.
npm package: @pipedream/dialmycalls
Description: Pipedream DialMyCalls Components
Author: Pipedream
Latest version: 0.0.3

# Overview

The DialMyCalls API lets you harness the power of voice and text messaging for mass communication. With this API, you can automate the creation and dispatch of messages to lists of recipients, schedule calls, manage contacts, and track the delivery status of your messages. This becomes particularly useful in scenarios like emergency alerts, appointment reminders, and promotional campaigns where reaching out to a broad audience swiftly and reliably is key.

# Example Use Cases

- **Emergency Alert System**: Automatically trigger voice or SMS alerts to a predefined list of contacts when Pipedream detects a specific keyword in an email or a tweet, ensuring rapid dissemination of critical information during emergencies.

- **Appointment Reminder Service**: Integrate Pipedream with a calendar app like Google Calendar to schedule and send reminder calls or texts via DialMyCalls API to clients about their upcoming appointments, reducing no-shows.

- **Marketing Campaign Automation**: Use Pipedream to listen for new subscribers on platforms like Mailchimp, then automatically enroll them in a promotional campaign via DialMyCalls, sending personalized messages or special offers to engage them right away.
npm package: @pipedream/dialpad
Description: Pipedream Dialpad Components
Author: Pipedream
Latest version: 0.0.5

# Overview

With the Dialpad API, you can build a wide range of voice and video
communication applications.

Here are some examples of what you can build with the Dialpad API:

- A softphone application that lets users make and receive calls from their
  computer
- A business phone system that lets companies make and receive calls using
  Dialpad's infrastructure
- A call center application that lets customer service representatives make and
  receive calls
- A video conferencing application that lets users make and receive video calls