STEP 1
Connect AWS Comprehend and Moonshot
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 Moonshot Integration
Integrate AWS Comprehend and Moonshot and automate ai work. Actions from AWS Comprehend app can update information in Moonshot - exactly how you set them in visual workflow builder. You can craft workflows how your business process needs with AI, and no coding skills required.
3-day trialCancel anytimeUp to 10 minutes quick set up
- GDPR
- Data Encryption
- 2FA
- Local Data Region
Learn about AWS Comprehend and Moonshot
Detailed info you need to know about AWS Comprehend and Moonshot 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 Moonshot
Set up your AWS Comprehend and Moonshot integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Comprehend and Moonshot 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 Moonshot. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Comprehend and Moonshot work in WEXTL?
WEXTL exposes actions and triggers for AWS Comprehend and Moonshot 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.
AWS Comprehend actionsMoonshot actions
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.
Moonshot modules
- Archive AgentArchives an agent so no new sessions can start with it.
- Archive CredentialArchives a vault credential and erases its secret values.
- Archive EnvironmentArchives an environment so no new sessions can use it.
- Archive Memory StoreArchives a memory store so it can no longer be changed or mounted in new sessions.
- Archive SessionArchives an agent session and cancels its running threads.
- Archive SkillArchives a custom skill so agents can no longer add it.
- Archive ThreadArchives one thread of an agent session.
- Archive TriggerArchives a trigger so it never runs again.
- Archive VaultArchives a credential vault and its active credentials.
- Cancel BatchCancels a batch job that is still validating or running.
- Check Credential CoverageChecks which vaults hold a valid credential for each of the given MCP server URLs.
- Create AgentCreates a Hosted Agent with its model, instructions, tools, and skills.
- Create BatchCreates a batch job that runs the chat requests in an uploaded JSONL file.
- Create Chat CompletionSends a conversation to a Kimi model and returns its reply.
- Create CredentialStores a credential in a vault for MCP servers or as a sandbox environment variable.
- Create Credentials BatchStores up to 20 credentials in a vault in one call.
- Create EnvironmentCreates a cloud sandbox environment with network rules, packages, and a setup script for agent sessions.
- Create MemoryCreates a file in a memory store.
- Create Memory StoreCreates a memory store, a shared folder of files that agent sessions can mount.
- Create MessageSends a conversation to Kimi through the Anthropic-compatible Messages API and returns the reply.
- Create Model ResponseGenerates a model response from text or conversation items, optionally using tools and web search.
- Create OAuth SessionStarts an OAuth sign-in for an MCP server and returns the URL a person must open to authorize it.
- Create SessionStarts a new agent session in an environment, with optional files, vaults, and memory stores attached.
- Create Session EventSends a message to an agent session, or interrupts the turn it is running.
- Create Session ResourceAttaches an uploaded file to a running agent session.
- Create SkillCreates a custom skill from a skill package archive.
- Create TriggerCreates a cron schedule on Moonshot that starts an agent session at set times.
- Create Trigger RunRuns a trigger now, outside its schedule, optionally with an extra message.
- Create VaultCreates a vault that holds credentials for agent sessions.
- Delete ArtifactDeletes an artifact and all of its versions.
- Delete CredentialDeletes a credential from a vault.
- Delete EnvironmentDeletes an environment and all of its versions.
- Delete FileDeletes an uploaded file.
- Delete MemoryDeletes a file from a memory store and records the deletion in its history.
- Delete Memory StoreDeletes a memory store with its files, version history, and dream policy.
- Delete Memory Version TextErases the stored text of one past version of a memory file while keeping its history entry.
- Delete Pending EventWithdraws a queued message before the agent session processes it.
- Delete SessionDeletes an agent session and its resource bindings.
- Delete Session ResourceDetaches a file, vault, or memory store from an agent session.
- Delete SkillDeletes a custom skill.
- Delete VaultDeletes a credential vault and every credential in it.
- Estimate Token CountEstimates how many tokens a conversation will use before you send it.
- Fetch Web PageFetches a web page and returns its title and content as Markdown.
- Get Account BalanceReturns the available, voucher, and cash balance of your account.
- Get AgentReturns the current configuration of a Hosted Agent.
- Get ArtifactReturns the details of an artifact, for its latest or a chosen version.
- Get Artifact ContentDownloads the file of an artifact so later steps can use it.
- Get BatchReturns the status, request counts, and result files of a batch job.
- Get CredentialReturns a vault credential without its secret values.
- Get Dream PolicyReturns when the platform automatically tidies up a memory store.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Comprehend and Moonshot 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 Moonshot.
Connect your AWS Comprehend and Moonshot accounts once, pick an action in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: use AWS Comprehend's "Batch Detect Dominant Language" action to perform Moonshot's "Archive Agent" action. AWS Comprehend has 86 actions (including Batch Detect Dominant Language, Batch Detect Entities, and Batch Detect Key Phrases); Moonshot has 108 actions (including Archive Agent, Archive Credential, and Archive Environment). Add filters and transforms between steps when you need them. [1]
Yes — pick an action in either app, then an action in the other, and map the fields between them. [2]
No. AWS Comprehend-to-Moonshot 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 Moonshot) 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 + Moonshot 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 Moonshot integration.
- AWS Comprehend and Moonshot integration source code, module specs and credentials implementation.
- Our AWS Comprehend and Moonshot integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Comprehend and Moonshot — 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
- Moonshot integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library