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Technical Reference

Jina AI

AI-powered web content extraction, search, and classification

CategoryArtificial Intelligence
Authenticationcustom
Version0.1.7
Published scopes0 published scopes
Last updatedSeptember 21, 2026

Overview

Connect Jina AI with Flows360

AI-powered web content extraction, search, and classification

Use the Jina AI 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 5 actions and no declared triggers.

Available actions

  • Extract Webpage Content
  • Web Search Summarization
  • DeepSearch Query
  • Classify Text or Image
  • Train Custom Classifier

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: Jina AI
  • Package: @activepieces/piece-jina-ai@0.1.7
  • Exact artifact digest: sha256:05ce8d5b119b55777658d899fc73d9f3da1319b3f391c50c13f1053128cc7b8b
  • 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 Webpage Content (extract_webpage_content), Convert a URL into clean, LLM-friendly Markdown using the Reader API. Classification: read.
  • Web Search Summarization (web_search_summarization), Perform a web search and retrieve summarized results using the Reader API. Classification: read.
  • DeepSearch Query (deepsearch_query), Answer complex questions through iterative search, reading, and reasoning with the DeepSearch API. Classification: read.
  • Classify Text or Image (classify_content), Assign categories to text or images using the Classifier API (zero-shot/few-shot). Classification: read.
  • Train Custom Classifier (train_custom_classifier), Fine-tune a classifier with labeled examples for domain-specific tasks. 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

Authenticationcustom
Supported objects5
Supported actionsNot published
TriggersNone published

Authentication

Authentication method: custom

Authentication profiles

connection · custom
  • API Key Required · protected credential

Supported objects

ObjectReadWriteNotes
Extract Webpage Content Yes No Convert a URL into clean, LLM-friendly Markdown using the Reader API.
Web Search Summarization Yes No Perform a web search and retrieve summarized results using the Reader API.
DeepSearch Query Yes No Answer complex questions through iterative search, reading, and reasoning with the DeepSearch API.
Classify Text or Image Yes No Assign categories to text or images using the Classifier API (zero-shot/few-shot).
Train Custom Classifier Yes No Fine-tune a classifier with labeled examples for domain-specific tasks.

Setup

Setup

  1. Add the Jina AI connector to the workflow in the target Flows360 Studio instance.
  2. 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.
  3. Provide the connection fields declared by the pinned package:
  • No provider credential fields are declared by the pinned package.
  1. Select the required action or trigger and complete its declared input fields. Required and optional inputs are defined by the exact package schema.
  2. Test the workflow in the appropriate environment before enabling production scheduling or event delivery.

Limitations

Limitations and operational notes

  • This content describes @activepieces/piece-jina-ai@0.1.7; provider behaviour can change independently and should be revalidated when the provider or connector version changes.
  • Only the 5 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 Jina AI 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-jina-ai@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.