STEP 1
Connect AWS Comprehend and Protime
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS Comprehend and Protime Integration
Connect AWS Comprehend to Protime on visual integration builder following simple steps below. When ai event fired from AWS Comprehend, it will run actions inside Protime app - exactly how you set them in your hr automation. No coding skills required.
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Learn about AWS Comprehend and Protime
Detailed info you need to know about AWS Comprehend and Protime integrations in WEXTL. Explore which modules apps support and how you connect them.
AWS Comprehend
Amazon's natural language processing service for finding insights in text. [5]
How to connect AWS Comprehend to Protime
Set up your AWS Comprehend and Protime integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Comprehend and Protime nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AWS Comprehend and Protime. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Comprehend and Protime work in WEXTL?
WEXTL exposes actions and triggers for AWS Comprehend and Protime that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Protime triggersAWS Comprehend actions
Protime modules
- Create a ClockingCreates a new clocking entry.
- Create an Activity DefinitionCreates an activity definition in the system.
- Create an Activity UsageCreates an activity usage by specifying the details needed for the activity definition.
- Create an AssignmentCreates a new assignment.
- Delete Activity Definitions UsageRemoves an activity usage definition.
- Delete an AssignmentRemoves an assignment from the service.
- Get a BreakRetrieves the details of a break.
- Get a Break DefinitionRetrieves the details of a break definition.
- Get a ClockingRetrieves the details of a clocking.
- Get a ContractRetrieves the details of a contract.
- Get a CounterRetrieves the details of a counter.
- Get a Counter DefinitionRetrieves the details of a counter definition.
- Get a Counter GroupRetrieves the details of a counter group.
- Get a DepartmentRetrieves the details of a department.
- Get a JobRetrieves the details of a job.
- Get a Job CategoryRetrieves the details of a job category.
- Get an AbsenceRetrieves the details of an absence.
- Get an Absence DefinitionRetrieves the details of an absence definition by ID.
- Get an Absence GroupRetrieves the details of an absence group by ID.
- Get an Access ClockingRetrieves the details of an access clocking by ID.
- Get an Activity DefinitionRetrieves an activity definition from the service.
- Get an Activity DurationRetrieves the details of an activity duration.
- Get an AssignmentRetrieves the details of an assignment.
- Get an EmployerRetrieves the details of an employer.
- Get a PersonRetrieves the details of a person.
- Get a SectorRetrieves the details of a sector.
- Get a Shift DefinitionRetrieves the details of a shift definition.
- Get a Work LocationRetrieves the details of a work location.
- Get Work InterruptionsRetrieves the details of work interruptions.
- List Absence DefinitionsRetrieves a list of absence definitions.
- List Absence GroupsGets a list of absence groups.
- List AbsencesGets a list of absences.
- List Access ClockingsRetrieves a list of access clockings.
- List Activity Definition RestrictionsRetrieves a list of restrictions for an activity definition.
- List Activity DefinitionsRetrieves a list of activity definitions.
- List Activity Definition UsagesGets a list of usages for an activity definition.
- List Activity DurationsRetrieves a list of activity durations.
- List a Person's Employer HistoriesGets a list of employer histories for a person.
- List AssignmentsRetrieves a list of assignments.
- List Break DefinitionsRetrieves a list of break definitions.
- List BreaksRetrieves a list of breaks.
- List Calculated TotalsRetrieves a list of calculated totals.
- List ClockingsGets a list of clockings.
- List ContractsRetrieves a list of contracts.
- List Counter DefinitionsRetrieves a list of counter definitions.
- List Counter GroupsRetrieves a list of counter groups.
- List CountersRetrieves a list of counters.
- List Department HistoriesRetrieves a list of department histories.
- List Department Histories for a PersonGets a list of department histories for a person.
- List DepartmentsRetrieves a list of departments.
AWS Comprehend modules
- Batch Detect Dominant LanguageDetects the dominant language of up to 25 texts in one request.
- Batch Detect EntitiesFinds named entities in up to 25 texts in one request.
- Batch Detect Key PhrasesExtracts key noun phrases from up to 25 texts in one request.
- Batch Detect SentimentDetects the overall sentiment of up to 25 texts in one request.
- Batch Detect SyntaxTags the part of speech of every word in up to 25 texts in one request.
- Batch Detect Targeted SentimentDetects the sentiment about each entity mentioned in up to 25 texts in one request.
- Classify DocumentClassifies a text or document in real time with a custom classifier endpoint.
- Contains PII EntitiesChecks whether a text contains personal information and lists the kinds found.
- Create DatasetAdds a training or test dataset from Amazon S3 to a flywheel.
- Create Document ClassifierCreates and starts training a custom document classifier from labeled data in Amazon S3.
- Create EndpointCreates a real-time endpoint for a trained custom classifier or entity recognizer.
- Create Entity RecognizerCreates and starts training a custom entity recognizer from annotated data in Amazon S3.
- Create FlywheelCreates a flywheel that manages training and versions of a custom model.
- Delete Document ClassifierDeletes a trained or failed document classifier.
- Delete EndpointDeletes a custom model endpoint and stops its billing.
- Delete Entity RecognizerDeletes a trained or failed entity recognizer.
- Delete FlywheelDeletes a flywheel without deleting its data lake or trained models.
- Delete Resource PolicyRemoves the resource-based policy from a custom model.
- Describe DatasetReturns the status and details of a flywheel dataset.
- Describe Document Classification JobReturns the status and settings of a document classification job.
- Describe Document ClassifierReturns the training status, settings, and accuracy metrics of a document classifier.
- Describe Dominant Language Detection JobReturns the status and settings of a dominant language detection job.
- Describe EndpointReturns the status, model, and capacity of a custom model endpoint.
- Describe Entities Detection JobReturns the status and settings of an entities detection job.
- Describe Entity RecognizerReturns the training status, settings, and accuracy metrics of an entity recognizer.
- Describe Events Detection JobReturns the status and settings of an events detection job.
- Describe FlywheelReturns the status, active model, and settings of a flywheel.
- Describe Flywheel IterationReturns the status and model metrics of one flywheel iteration.
- Describe Key Phrases Detection JobReturns the status and settings of a key phrases detection job.
- Describe PII Entities Detection JobReturns the status and settings of a PII entities detection job.
- Describe Resource PolicyReturns the resource-based policy attached to a custom model.
- Describe Sentiment Detection JobReturns the status and settings of a sentiment detection job.
- Describe Targeted Sentiment Detection JobReturns the status and settings of a targeted sentiment detection job.
- Describe Topics Detection JobReturns the status and settings of a topics detection job.
- Detect Dominant LanguageDetects the languages a text is written in, with a confidence score for each.
- Detect EntitiesFinds named entities such as people, places, and organizations in a text or document.
- Detect Key PhrasesExtracts the key noun phrases from a text.
- Detect PII EntitiesFinds personal information in a text and returns its type and position.
- Detect SentimentDetects whether a text is positive, negative, neutral, or mixed.
- Detect SyntaxSplits a text into words and tags each word with its part of speech.
- Detect Targeted SentimentDetects the sentiment expressed about each entity mentioned in a text.
- Detect Toxic ContentScores short text segments for toxic content such as insults, profanity, and hate speech.
- Import ModelCreates a copy of a custom model shared from another AWS account.
- List DatasetsRetrieves a list of flywheel datasets.
- List Document Classification JobsRetrieves a list of document classification jobs.
- List Document ClassifiersRetrieves a list of custom document classifiers.
- List Document Classifier SummariesRetrieves a summary of each document classifier name with its version count and latest version.
- List Dominant Language Detection JobsRetrieves a list of dominant language detection jobs.
- List EndpointsRetrieves a list of custom model endpoints.
- List Entities Detection JobsRetrieves a list of entities detection jobs.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Comprehend and Protime integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting AWS Comprehend and Protime.
Connect your AWS Comprehend and Protime accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Protime's "Watch Absence Definitions" fires, WEXTL can "Batch Detect Dominant Language" in AWS Comprehend. AWS Comprehend has 86 actions (including Batch Detect Dominant Language, Batch Detect Entities, and Batch Detect Key Phrases); Protime has 91 actions (including Create a Clocking, Create an Activity Definition, and Create an Activity Usage). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. AWS Comprehend-to-Protime automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AWS Comprehend (or Protime) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AWS Comprehend + Protime automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AWS Comprehend and Protime integration.
- AWS Comprehend and Protime integration source code, module specs and credentials implementation.
- Our AWS Comprehend and Protime integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Comprehend and Protime — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- AWS Comprehend integration information
- Protime integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library