Integrate the bot9 API with the Filter API

Setup the bot9 API trigger to run a workflow which integrates with the Filter API. Pipedream's integration platform allows you to integrate bot9 and Filter remarkably fast. Free for developers.

Popular bot9 and Filter Actions#

Initiate Chat with the bot9 API

Initiates a new conversation with a Bot9 chatbot. See the documentation

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Continue execution if a condition Is met with the Filter API

Continue workflow execution only if a condition is met

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Send Chat Message with the bot9 API

Send a chat message to a Bot9 chatbot. See the documentation

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End execution if a condition is met with the Filter API

End workflow execution if a condition is met

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Overview of bot9#

The Bot9 API enables automated interactions with trading systems, allowing users to execute, manage, and analyze trades through a programmatic interface. In Pipedream, you can leverage this API to craft serverless workflows that handle trading tasks, notifications, and analyses without needing to build a full backend system. This can speed up trade execution, improve response times to market changes, and enable complex trading strategies that adjust to live market data.

Connect bot9#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bot9: {
      type: "app",
      app: "bot9",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://apiv1.bot9.ai/api/auth/account`,
      headers: {
        Authorization: `Bearer ${this.bot9.$auth.api_key}`,
      },
    })
  },
})

Overview of Filter#

The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.

Connect Filter#

export default defineComponent({
  async run({ steps, $ }) {
    let condition = false
    if (condition == false) {
      $.flow.exit("Ending workflow early because the condition is false")
    } else {
        $.export("$summary", "Continuing workflow, since condition for ending was not met.")
    }
  },
})