--- title: "Perspective Integration" description: "Score text for toxicity and related attributes with Google's Perspective API, and submit suggested scores as feedback. Built for moderation and community-health workflows." url: https://flowrunner.ai/integrations/perspective date_modified: 2026-08-07T17:20:23-07:00 --- # Perspective [AI](https://flowrunner.ai/integrations/category/ai-llms) Score text for toxicity and related attributes with Google's Perspective API, and submit suggested scores as feedback. Built for moderation and community-health workflows. [Verified](https://flowrunner.ai/integrations/verified "What does verified mean?") · 2 actions · API key · available [Perspective website](https://perspectiveapi.com/) · [Platform Documentation](https://developers.perspectiveapi.com/) · Capability data verified 2026-08-12 1. New comment submitted to a moderated space 2. Agent scores the comment for toxicity with Analyze Comment 3. Agent clears comments below the toxicity threshold 4. Agent publishes the cleared comment 5. Moderators get a queue of the flagged comments 6. A borderline comment routes to a moderator to approve or remove ## What This Integration Enables Perspective gives a flow a toxicity signal. Analyze Comment scores text across attributes like toxicity, insult, and threat, and the feedback action submits suggested scores back to improve the models over time. It is narrow by design: a fast, consistent read on whether a piece of text is likely harmful. A consistent score is what lets moderation scale: comments that are clearly fine publish, comments that are clearly harmful are blocked, and the score draws the line the same way every time. The borderline band is where judgment lives, and that belongs to a person. An orchestration layer clears the clear cases and routes the borderline ones to a moderator, and FlowRunner is built for that layer. ### Without FlowRunner **Every comment reviewed**: Moderators read all submissions to catch the bad ones **Inconsistent calls**: Different moderators apply different thresholds **Toxicity reaches the feed**: Harmful comments appear before anyone catches them ### With FlowRunner **Automatic first pass**: Clear comments publish, only flags reach moderators **Consistent scoring**: A single toxicity signal applied to every comment **Caught before publish**: Flagged comments held for review before they appear ## Use Case Scenarios ### Comment Moderation New comments arrive in a moderated space. The agent scores each one for toxicity, publishes the comments below the threshold, and holds the rest. Moderators review a queue of flagged comments instead of reading every submission. Clearly-fine comments appear immediately, and harmful ones are caught before they publish. ### Community Health Monitoring A community platform needs a read on whether discussion is turning toxic. The agent scores incoming content and tracks the trend, surfacing spikes to the community team. The team acts on a signal rather than discovering a problem after it has spread, and individual borderline posts still go to a moderator. ### Pre-Publish Content Check User-submitted text is checked before it goes live. The agent scores it and clears the safe content automatically. Anything in the borderline band is routed to a person with the score attached, so the model handles the obvious cases and a human owns the judgment calls where reasonable people might disagree. ## Human-in-Loop Highlight Toxicity scoring is consistent and still blunt in the middle of the range, which is exactly where moderation decisions are hardest. When Perspective scores a comment in the borderline band, FlowRunner routes it through a [human-in-the-loop](https://flowrunner.ai/concepts/human-in-the-loop) step rather than letting a threshold decide: the agent pauses, presents the comment and its scores, and sends it to a moderator via Slack. They approve or remove it. The clear cases are handled automatically; a person owns the calls where context matters. Agent processes routinely Detects exception requiring judgment Clear match Continues automatically Ambiguous Routes to human via Slack Human decides Agent resumes with decision ## Agent Capabilities 2 actions ### Analysis 1 - **Analyze Comment** Analyzes a piece of text for a set of attributes such as toxicity, insults, threats, and profanity using Google's Perspective Comment Analyzer API. ### Feedback 1 - **Suggest Comment Score** Submits a suggested score for a comment to provide feedback to the Perspective models (the SuggestCommentScore method). ## Frequently Asked Questions ### What can FlowRunner do with Perspective? FlowRunner agents can run Analyze Comment and Suggest Comment Score in Perspective. ### Does connecting Perspective to FlowRunner require OAuth? No. Perspective connects to FlowRunner with an API key, no OAuth flow required. ### Can Perspective trigger a FlowRunner workflow automatically? Perspective doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger. **Work at Perspective?** This integration exposes Perspective to AI agents on every FlowRunner plan, including through MCP, at no cost to you. [See what FlowRunner offers integration partners](https://flowrunner.ai/integrations/partners), including how to keep this page current. --- Markdown version of https://flowrunner.ai/integrations/perspective. Site index: https://flowrunner.ai/llms.txt