Overview
Connect Metatext with Flows360
AI content moderation and safety guard API
Use the Metatext connector to include its declared actions and events in Flows360 workflows without duplicating the integration logic inside each consuming system. This pinned connector version currently exposes 3 actions and no declared triggers.
Available actions
- Extract Text
- Classify Text
- Fine-tune Model
Available triggers
- No triggers are declared in this pinned package.
The capability list above is generated from the exact reviewed connector package so the public description stays aligned with the version Flows360 operates.
Technical guide
Technical reference
Package identity
- Connector: Metatext
- Package:
@activepieces/piece-metatext@0.1.7 - Exact artifact digest:
sha256:7b62e5909c747987caa7267e2a3574f2be9c0bb3f9ec6e790cd52c7affeddfd3 - Runtime: Activepieces-compatible deterministic worker
- Source: the exact reviewed Activepieces source
Authentication
SECRET TEXT. Connection values are tenant-specific and remain in the consuming Studio instance; CDK stores definitions and field metadata, not customer credential values.
Action contracts
- Extract Text (
extract_text), Extract information from text (entities, keywords, custom models) Classification: read. - Classify Text (
classify_text), Classify text into categories (sentiment, intent, topic, custom models) Classification: read. - Fine-tune Model (
finetune_model), Initiate a fine-tuning job for your model Classification: read.
Trigger contracts
- No trigger delivery contracts are declared.
Verification
Deterministic execution evidence is recorded for the pinned artifact, including 1 exercised action entrypoint and 0 exercised trigger entrypoints.
Capability summary
Authentication
Authentication method: custom
Authentication profiles
connection · custom
- API Key Required · protected credential
Supported objects
| Object | Read | Write | Notes |
|---|---|---|---|
| Extract Text | Yes | No | Extract information from text (entities, keywords, custom models) |
| Classify Text | Yes | No | Classify text into categories (sentiment, intent, topic, custom models) |
| Fine-tune Model | Yes | No | Initiate a fine-tuning job for your model |
Supported actions
Extract Text · Read
Extract information from text (entities, keywords, custom models)
extract_text · Risk: low · Retry: safe
Inputs
project_id· string · Required, The ID of your extraction projecttext· string · Required, The text to extract information frommodel· string · Optional, The model to use for extractionrefresh· boolean · Optional, Force refresh the extractionversion· string · Optional, Model version to use
Classify Text · Read
Classify text into categories (sentiment, intent, topic, custom models)
classify_text · Risk: low · Retry: safe
Inputs
project_id· string · Required, The ID of your classification projecttext· string · Required, The text to classifymodel· string · Optional, The model to use for classificationthreshold· number · Optional, Minimum confidence score for predictionstop_labels· number · Optional, Maximum number of labels to returnrefresh· boolean · Optional, Force refresh the classificationversion· string · Optional, Model version to use
Fine-tune Model · Read
Initiate a fine-tuning job for your model
finetune_model · Risk: low · Retry: safe
Inputs
project_id· string · Required, The ID of your projecttaskType· string · Required, The type of task for fine-tuningmodelBase· string · Required, The base model to fine-tune (e.g., BERT)hyperparameters· object · Optional, Custom hyperparameters for fine-tuning
Setup
Setup
- Add the Metatext connector to the workflow in the target Flows360 Studio instance.
- Create or select the tenant-specific connection required by the connector. Connection secrets remain in the Studio connection boundary and are not copied into CDK documentation.
- Provide the connection fields declared by the pinned package:
- No provider credential fields are declared by the pinned package.
- Select the required action or trigger and complete its declared input fields. Required and optional inputs are defined by the exact package schema.
- Test the workflow in the appropriate environment before enabling production scheduling or event delivery.
Limitations
Limitations and operational notes
- This content describes
@activepieces/piece-metatext@0.1.7; provider behaviour can change independently and should be revalidated when the provider or connector version changes. - Only the 3 actions and 0 triggers declared by this pinned package are represented here.
- Tenant credentials and connection values are not stored in the public connector record.
- Provider-side permissions, account entitlements, quotas and rate limits remain subject to the connected provider account and are not inferred when the package does not declare them.
- Deterministic execution evidence is recorded for the pinned artifact, including 1 exercised action entrypoint and 0 exercised trigger entrypoints.
Troubleshooting
Why canu2019t the connector authenticate?
Check the tenant connection in Studio and confirm every required Metatext connection field is present. Re-authorise OAuth-based connections if the provider token or consent has expired. Do not place credential values in CDK content or logs.
Why is an action or trigger unavailable?
Confirm that the workflow is using @activepieces/piece-metatext@0.1.7 and compare the requested capability with the declared action and trigger list for this version. A capability that is not declared by the pinned package should not be presented as supported.
What should I check after a provider-side change?
Revalidate authentication, required fields, action/trigger behaviour and provider documentation before publishing refreshed connector content or moving a new package version into production.