OnStrategy
From self-guided planning to full-service strategy design, we can help get a strategic plan done that meets your needs and budget.
Integrate the OnStrategy API with the Python API
Setup the OnStrategy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate OnStrategy and Python remarkably fast. Free for developers.
Popular OnStrategy and Python Triggers#
Emit new event when a new goal is created within the OnStrategy app. See the documentation
Popular OnStrategy and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of OnStrategy#
The OnStrategy API lets you automate strategic planning and tracking within your organization. You can create, update, and retrieve data on goals, actions, and progress, making it simpler to integrate strategic management into daily workflows. Pipedream's serverless platform eases the process by allowing you to construct workflows that link OnStrategy with other apps, trigger actions based on events, and handle data programmatically without managing servers.
Connect OnStrategy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
onstrategy: {
type: "app",
app: "onstrategy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.onstrategyhq.com/api/accounts.json`,
params: {
key: `${this.onstrategy.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}