Get TM Grades Historical with Token Metrics API on New Deleted S3 File from AWS API

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New Deleted S3 File from the AWS API

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Get TM Grades Historical with the Token Metrics API

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Getting Started#

This integration creates a workflow with a AWS trigger and Token Metrics action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Deleted S3 File trigger
1. Connect your AWS account
2. Select a AWS Region
3. Select a S3 Bucket Name
4. Configure Ignore Delete Markers
Configure the Get TM Grades Historical action
1. Connect your Token Metrics account
2. Optional- Configure Token IDs
3. Optional- Configure Token Names
4. Optional- Configure Token Symbols
5. Optional- Configure Token Slugs
6. Optional- Configure Start Date
7. Optional- Configure End Date
8. Optional- Configure Limit
9. Optional- Configure Page
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Deleted S3 File on AWS

Description:Emit new event when a file is deleted from a S3 bucket

Version:0.1.4

Key:aws-s3-deleted-file

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code#

import base from "../common/s3.mjs";

export default {
  ...base,
  type: "source",
  key: "aws-s3-deleted-file",
  name: "New Deleted S3 File",
  description: "Emit new event when a file is deleted from a S3 bucket",
  version: "0.1.4",
  dedupe: "unique",
  props: {
    ...base.props,
    ignoreDeleteMarkers: {
      type: "boolean",
      label: "Ignore Delete Markers",
      description: "When ignoring delete markers this will only emit events for permanently deleted files",
      default: false,
    },
  },
  methods: {
    ...base.methods,
    getEvents() {
      return [
        this.ignoreDeleteMarkers
          ? "s3:ObjectRemoved:Delete"
          : "s3:ObjectRemoved:*",
      ];
    },
    generateMeta(data) {
      const { "x-amz-request-id": id } = data.responseElements;
      const { key } = data.s3.object;
      const { eventTime: isoTimestamp } = data;
      return {
        id,
        summary: `Deleted file: '${key}'`,
        ts: Date.parse(isoTimestamp),
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
AWS	`aws`	`app`	This component uses the AWS app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
AWS Region	`region`	`string`	Select a value from the drop down menu.
S3 Bucket Name	`bucket`	`string`	Select a value from the drop down menu.
Ignore Delete Markers	`ignoreDeleteMarkers`	`boolean`	When ignoring delete markers this will only emit events for permanently deleted files

Trigger Authentication#

AWS uses API keys for authentication. When you connect your AWS account, Pipedream securely stores the keys so you can easily authenticate to AWS APIs in both code and no-code steps.

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action#

Get TM Grades Historical on Token Metrics

Description:Get historical TM Grade data for a token, including trader grade change, quant grade, signals, momentum, and 24-hour percentage changes for both TM Grade and Trader Grade over time. [See the documentation](https://developers.tokenmetrics.com/v3/reference/tm-grade-history)

Version:0.1.1

Key:token_metrics-get-tm-grades-historical

View on GitHub

Token Metrics Overview#

The Token Metrics API integration for Pipedream provides comprehensive access to cryptocurrency data, analytics, and AI-powered insights. This component enables seamless integration of advanced token metrics, market analysis, and trading intelligence into your automated workflows.

Token Metrics delivers institutional-grade cryptocurrency analytics, including AI-generated reports, trading signals, fundamental and technical analysis, market metrics, and performance data across thousands of digital assets.

Action Code#

import tokenMetrics from "../../token_metrics.app.mjs";
import { ENDPOINTS } from "../../common/constants.mjs";
import {
  buildParams, generateFilterSummary,
} from "../../common/utils.mjs";

const endpoint = ENDPOINTS.TM_GRADES_HISTORICAL;

export default {
  key: "token_metrics-get-tm-grades-historical",
  name: "Get TM Grades Historical",
  description: `${endpoint.description}. [See the documentation](https://developers.tokenmetrics.com/v3/reference/tm-grade-history)`,
  version: "0.1.1",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  type: "action",
  props: {
    tokenMetrics,
    // Filter props based on endpoint configuration and API documentation
    tokenId: {
      propDefinition: [
        tokenMetrics,
        "tokenId",
      ],
    },
    tokenName: {
      propDefinition: [
        tokenMetrics,
        "tokenName",
      ],
      description: "Crypto Asset Names (e.g., Bitcoin, Ethereum) to filter results. Select token names.",
    },
    symbol: {
      propDefinition: [
        tokenMetrics,
        "symbol",
      ],
    },
    slug: {
      propDefinition: [
        tokenMetrics,
        "slug",
      ],
    },
    startDate: {
      propDefinition: [
        tokenMetrics,
        "startDate",
      ],
      description: "Start Date accepts date as a string - `YYYY-MM-DD` format. Example: `2025-07-01`",
    },
    endDate: {
      propDefinition: [
        tokenMetrics,
        "endDate",
      ],
      description: "End Date accepts date as a string - `YYYY-MM-DD` format. Example: `2025-07-05`",
    },
    // Pagination props
    limit: {
      propDefinition: [
        tokenMetrics,
        "limit",
      ],
      description: "Limit the number of items in response. Defaults to 50",
      default: 50,
    },
    page: {
      propDefinition: [
        tokenMetrics,
        "page",
      ],
      min: 1,
      default: 1,
    },
  },
  async run({ $ }) {
    // Build parameters using utility function
    const params = buildParams(this, endpoint.filters);

    const response = await this.tokenMetrics.getTmGradesHistorical({
      $,
      params,
    });

    // Generate summary using utility function
    const filterSummary = generateFilterSummary(this, endpoint.filters);

    // Use $ context for export
    const dataLength = response.data?.length || 0;
    $.export("$summary", `Successfully retrieved historical TM grades for ${dataLength} records${filterSummary}`);

    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Token Metrics	`tokenMetrics`	`app`	This component uses the Token Metrics app.
Token IDs	`tokenId`	`string[]`	Select one or more Token IDs to filter results. Example: `3375,3306`
Token Names	`tokenName`	`string[]`	Crypto Asset Names (e.g., Bitcoin, Ethereum) to filter results. Select token names.
Token Symbols	`symbol`	`string[]`	Select one or more token symbols to filter results. Example: `BTC,ETH`
Token Slugs	`slug`	`string[]`	Comma separated token slugs. Example: `bitcoin,ethereum`
Start Date	`startDate`	`string`	Start Date accepts date as a string - `YYYY-MM-DD` format. Example: `2025-07-01`
End Date	`endDate`	`string`	End Date accepts date as a string - `YYYY-MM-DD` format. Example: `2025-07-05`
Limit	`limit`	`integer`	Limit the number of items in response. Defaults to 50
Page	`page`	`integer`	Enables pagination and data retrieval control by skipping a specified number of items before fetching data

Action Authentication#

Token Metrics uses API keys for authentication. When you connect your Token Metrics account, Pipedream securely stores the keys so you can easily authenticate to Token Metrics APIs in both code and no-code steps.

About Token Metrics#

Discover Hidden 100x Cryptocurrencies with Advanced AI Insights.

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Get TM Grades Historical with Token Metrics API on New Deleted S3 File from AWS API

Pipedream makes it easy to connect APIs for Token Metrics, AWS and 2,900+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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