Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Activepieces API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Factivepieces.com%2Factivepieces" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Factivepieces.com%2Factivepieces" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Activepieces API.
Build automation flows and update their steps
Trigger, list, and cancel flow runs to control executions
Organise flows into folders and projects
Store and query rows in Activepieces tables
Manage app connections that hold third-party credentials for flows
GET STARTED
Publish project releases and connect a git repo for version control
Invite users and manage project members
Patterns agents use Activepieces API for, with concrete tasks.
★ AI agent flow control
An AI agent operating an Activepieces instance can start, inspect, and stop automation runs on demand. Through Jentic the agent searches by intent and the API token never enters its prompt context, turning Activepieces into a programmable automation backend rather than a dashboard the operator clicks through.
Use Jentic to search 'list Activepieces flow runs', call GET /v1/flow-runs to find recent runs, and POST /v1/flow-runs/cancel to stop a run that is stuck.
Programmatic flow management
Teams that version their automations in code can create and fetch flows without opening the builder. The agent creates a flow, then reads it back to confirm the configuration was saved, keeping flow definitions in sync with an external source of truth.
Create a flow via POST /v1/flows, then fetch it with GET /v1/flows/{id} to confirm it was saved.
Tables as an automation backend
Activepieces tables store structured rows that flows read and write. An agent can append rows and list existing data to drive downstream automation, using the built-in table store instead of standing up a separate database for lightweight state.
Add a row via POST /v1/records/{id} into a table, then list current rows with GET /v1/records.
Connection and release management
Before a flow can reach a third-party service it needs an app connection, and moving a configured project forward needs a release. An agent can provision the connection and publish the release in one sequence, automating environment promotion for Activepieces projects.
Create an app connection via POST /v1/app-connections, then publish a release with POST /v1/project-releases.
66 endpoints — the activepieces api manages automation flows, executions, and the data that supports them on an activepieces instance.
METHOD
PATH
DESCRIPTION
/v1/flows
Create an automation flow
/v1/flows
List flows
/v1/flows/{id}
Get a flow by id
/v1/flow-runs
List flow runs
/v1/flow-runs/cancel
Cancel a flow run
/v1/records
List table records
/v1/app-connections
Create an app connection
/v1/project-releases
Publish a project release
/v1/flows
Create an automation flow
/v1/flows
List flows
/v1/flows/{id}
Get a flow by id
/v1/flow-runs
List flow runs
/v1/flow-runs/cancel
Cancel a flow run
/v1/records
List table records
/v1/app-connections
Create an app connection
/v1/project-releases
Publish a project release
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Activepieces by hand means handling its bearer token auth against cloud.activepieces.com/api and encoding flow, run, and table calls yourself. Through Jentic you install once, import Activepieces from the API Directory, store the token once, and your agent calls it.
Permission scoping
Activepieces puts the flow, project, and table ids in the URL path (/v1/flows/{id}, /v1/projects/{id}), so a rule can pin your agent to one project or flow. You choose the operations it may call, so destructive ones like deleting a flow or removing a user are not included unless you add them.
Credential isolation
Your Activepieces API token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'trigger a flow' or 'add a table row', and Jentic returns the matching Activepieces operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Activepieces API through Jentic.
Is there an Activepieces MCP server?
You don't need an MCP server to give your agent Activepieces. Jentic connects it directly from the API Directory: import it, store your token once, and your agent calls its flow, run, and table operations. That keeps your agent's context free of an extra server's tool definitions.
What authentication does the Activepieces API use?
The Activepieces API authenticates with a bearer token sent in the Authorization header, per its OpenAPI spec. Through Jentic the token is stored encrypted by your own instance and injected at call time, so it never reaches the agent's context.
Can I trigger and cancel flow runs with the Activepieces API?
Yes. GET /v1/flow-runs lists runs and GET /v1/flow-runs/{id} returns a single run, while POST /v1/flow-runs/cancel stops a run in progress. Creating and editing the flows themselves is handled by POST /v1/flows and GET /v1/flows/{id}.
Can I store data in Activepieces tables through the API?
Yes. GET /v1/tables lists your tables, POST /v1/records/{id} adds a row, and GET /v1/records reads rows back, so a flow or agent can use tables as a lightweight state store.
What are the rate limits for the Activepieces API?
The OpenAPI spec does not specify rate limits. Check the Activepieces documentation at https://www.activepieces.com/docs for current limits.
How do I run an Activepieces flow through Jentic?
Search Jentic for 'list Activepieces flow runs', load the input schema, and execute against GET /v1/flow-runs or POST /v1/flow-runs/cancel. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Can I limit what my agent is allowed to do with the Activepieces API?
Yes. Write a rule that allows only the flow-run read and cancel operations under one project id, so the agent can start and stop runs for that project and touch nothing else, and every call it makes is logged. Deleting flows or removing users stays out unless you add those operations.
For Agents
Create and edit automation flows, trigger and cancel flow runs, manage folders, projects, tables, and app connections, and publish project releases on an Activepieces instance.
Use for: Create a new automation flow in my project, List all flows in a folder, Trigger a flow run and check its status, Cancel a running flow execution
Not supported: Does not run your automation logic outside Activepieces, provide analytics dashboards, or replace the connected third-party apps. Use for managing Activepieces flows, runs, tables, and connections only.
The Activepieces API manages automation flows, executions, and the data that supports them on an Activepieces instance. It creates and edits flows, triggers and cancels flow runs, organises work into folders and projects, and stores rows in built-in tables. App connections hold the credentials that flows use to reach third-party services, and project releases move a configured project between environments.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>