---
title: "Pipeless Recommendations integration | Growf"
description: "Pipeless provides graph-based activity feeds and personalized recommendations from application event data. Connect Pipeless Recommendations to Growf."
url: "https://www.growf.io/integrations/pipeless/"
language: "en"
---

Integration / Developer Tools & DevOps

![Pipeless Recommendations logo](https://logos.composio.dev/api/pipeless)

# Pipeless Recommendations integration

Pipeless provides graph-based activity feeds and personalized recommendations from application event data.

[Get a demo](https://www.growf.io/demo/)

About Pipeless Recommendations

## Pipeless Recommendations is a graph-based activity feed and personalization service. Use it to generate real-time, personalized recommendations from your application events.

[All integrations](https://www.growf.io/integrations/)

Category

Developer Tools & DevOps, AI & Machine Learning

Connection

API key

Type

Tool

Actions

1080

Tags

library

Example prompts

## What you can ask Growf to do with Pipeless Recommendations

- “List top personalized recommendations for user”

- “Recommend next actions based on activity graph”

- “Export feed of top trending items”

Available actions

## 1080 actions your agents can run in Pipeless Recommendations

- Create Event  
Record one typed relationship event for Pipeless activity and recommendation algorithms. Referenced object records may be created or retained and are not removed when the event is later deleted.
- Create Events Batch  
Record 1 to 10 relationship events in one Pipeless request. Referenced object records may be created or retained and are not removed when the events are later deleted.
- Delete Event  
Delete event records matching an exact start object, relationship type and timestamp, and end object. Wildcard deletion is not supported by this tool.
- List Activity Feed  
Return one cursor-controlled chronological page of actions by objects followed by a specified object.
- List Object Activity  
Return one cursor-controlled page of incoming or outgoing relationship activity involving a specific object.
- List Recent Events  
Return the most recent events sent to the app, up to the requested limit; Pipeless provides no continuation cursor for this read.
- List Recommended Content  
Return a bounded personalized list of content recommendations for an object using configurable positive, negative, tag, author, follow, and dismissal signals.
- List Related Content  
Return content objects related to a target content object using optional tag and collaborative-interaction signals.
- List Users To Follow  
Return a bounded personalized list of user or account objects that the specified object may want to follow.
- Rank Content  
Rank a supplied set of content IDs for an object and report which IDs Pipeless could rank.

## Put Pipeless Recommendations to work inside Growf.

Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop.

[Get a demo](https://www.growf.io/demo/)