What is Sensitrust (SETS) | What is SETS token | Sensitrust (SETS) ICO

Sensitrust is a platform where customers and professionals get in touch, make deals and design new projects. Every phase exploits blockchain technologies, managed by Smart Contracts, and supported by Artificial Intelligence.

What is Sensitrust?

Sensitrust is a platform where customers and professionals get in touch, make deals and design new projects. Every phase exploits blockchain technologies, managed by Smart Contracts, and supported by Artificial Intelligence.

A Decentralized Job Marketplace

A Decentralized Job Marketplace

Sensitrust will help people to establish and grow a professional network, to easily find providers of products and services of interest, or to design a project that will be realized by experts.

The only limit is your imagination!

Regulated by smart contracts

All the operations performed in the platform will be regulated by Smart Contracts: agreements, quality and temporal constraints, checkpoints and revisions will be governed, in a decentralized, immutable, and certified manner.

A place to learn and grow

The professional growth of people is one of our main goals. With Sensitrust, trainees will gain access to learning resources, courses, and opportunities to contribute to real activities and projects. Their effort will be truly recognized and rewarded!

Supported by Artificial Intelligence

All the activities within the platform, ranging from the selection of opportunities to the automated revision of products and services, will exploit sophisticated Artificial Intelligence techniques developed by our team of experts.

Issues of classical Job Markets

In classical job markets, there are several issues that make the main processes ineffective or inefficient.

We are going to face them through our Blockchain-based platform

grade

Quality of the result

The quality of the result is usually difficult to estimate. Classical approaches based on feedbacks are often flawed by fake comments and reviews.

access_time

Time constraints

Almost all the tasks require to be performed within a given time-frame. Assuring that this constraint is respected is nowadays fundamental.

gavel

Bureaucratic procedures

Offline and online hiring procedures often require heavy and complex bureaucratic procedures to ensure that the parties fulfill the contract.

done_all

Validation of the result

Result validation is often tricky, especially if it takes place among parties that are physically located in different countries.

Risk management

The hiring process is often based on presumed or self-declared skills. This increases the risk of incurring in unexpected costs.

group_add

Inclusion

The inclusion of new trainees in an organization often requires high training costs. Moreover, their work is rarely recognized officially.

Seeking for a professional?

Sensitrust will allow you to search for any kind of professionals and service providers from around the world

looks_one

Hire a professional

Define requirements and constraints of the desired product/service and hire a professional from the Sensitrust catalogue.

looks_two

Lock the agreed compensation

Allocate the agreed amount, which will be kept locked by a smart contract until the delivery of the product/service.

looks_3

Evaluate the result

Evaluate the result with the support of a set of expert reviewers. Once approved, the smart contract releases the compensation to the professional.

Seeking for a job opportunity?

Sensitrust will allow you to candidate yourself to participate to call for actions, projects and activities

looks_one

Participate to a call

Select a call to which you can contribute with your skills and propose yourself to perform an activity.

looks_two

Negotiate your participation

Find an agreement about the requirements of the product/service that you will provide, as well as of the constraints to be satisfied.

looks_3

Provide the result and get rewarded

Once you provide the product/service, and after a positive evaluation, you will receive the agreed compensation.

Why SETS Tokens?

Sensitrust will offer a series of exclusive features and advantages, that will be accessible through our token at a discounted price

tune

Platform consultant

Get suggestions, improve product and service requirements, and solve disputes through our AI engine and our human experts.

equalizer

Skill levels

Get the possibility to **hire highly-skilled professionals: **improve the final quality of your desired product/service.

assessment

Guaranteed KPIs

Define both loose and strict requirements for the desired product/service and get them automatically verified.

stars

Membership

Get access to all-inclusive packages, that will provide you with a set of useful features and exclusive advantages.

fitness_center

Training resources

Improve your skills! Gain access to exclusive training resources, including online courses, seminars and webinars.

person_add

Early workers

Join the platform as a trainee, participate to new activities, grow your professional skills, and get officially recognized.

Token sale participants will benefit from additional advantages:

Early access to the beta platform and free access to premium services during the launch.

SETS token details

Symbol: SETS

Type: ERC20

Decimals: 18

Total Supply: 200M SETS

Presale: 10M SETS

Presale price: € 0.05

Public Sale: 130M SETS

Public Sale price: € 0.08

Buy SETS with: USDT.ERC20, LTC, ETH, TRX, BTC, FIAT

Token distribution

Token distribution

Funds distribution

Funds distribution

extension Token details

Would you like to earn many cryptocurrencies right now! ☞ CLICK HERE

CO DATE: Mar 1, 2020 - Dec 31, 2020

Visit ICO Website ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Social Channel
Message Board

Create an Account and Trade Cryptocurrency NOW

Bittrex
Poloniex
Binance

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#cryptocurrency #bitcoin #sensitrust #sets

What is GEEK

Buddha Community

What is Sensitrust (SETS) | What is SETS token | Sensitrust (SETS) ICO
Hermann  Frami

Hermann Frami

1651383480

A Simple Wrapper Around Amplify AppSync Simulator

This serverless plugin is a wrapper for amplify-appsync-simulator made for testing AppSync APIs built with serverless-appsync-plugin.

Install

npm install serverless-appsync-simulator
# or
yarn add serverless-appsync-simulator

Usage

This plugin relies on your serverless yml file and on the serverless-offline plugin.

plugins:
  - serverless-dynamodb-local # only if you need dynamodb resolvers and you don't have an external dynamodb
  - serverless-appsync-simulator
  - serverless-offline

Note: Order is important serverless-appsync-simulator must go before serverless-offline

To start the simulator, run the following command:

sls offline start

You should see in the logs something like:

...
Serverless: AppSync endpoint: http://localhost:20002/graphql
Serverless: GraphiQl: http://localhost:20002
...

Configuration

Put options under custom.appsync-simulator in your serverless.yml file

| option | default | description | | ------------------------ | -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- | | apiKey | 0123456789 | When using API_KEY as authentication type, the key to authenticate to the endpoint. | | port | 20002 | AppSync operations port; if using multiple APIs, the value of this option will be used as a starting point, and each other API will have a port of lastPort + 10 (e.g. 20002, 20012, 20022, etc.) | | wsPort | 20003 | AppSync subscriptions port; if using multiple APIs, the value of this option will be used as a starting point, and each other API will have a port of lastPort + 10 (e.g. 20003, 20013, 20023, etc.) | | location | . (base directory) | Location of the lambda functions handlers. | | refMap | {} | A mapping of resource resolutions for the Ref function | | getAttMap | {} | A mapping of resource resolutions for the GetAtt function | | importValueMap | {} | A mapping of resource resolutions for the ImportValue function | | functions | {} | A mapping of external functions for providing invoke url for external fucntions | | dynamoDb.endpoint | http://localhost:8000 | Dynamodb endpoint. Specify it if you're not using serverless-dynamodb-local. Otherwise, port is taken from dynamodb-local conf | | dynamoDb.region | localhost | Dynamodb region. Specify it if you're connecting to a remote Dynamodb intance. | | dynamoDb.accessKeyId | DEFAULT_ACCESS_KEY | AWS Access Key ID to access DynamoDB | | dynamoDb.secretAccessKey | DEFAULT_SECRET | AWS Secret Key to access DynamoDB | | dynamoDb.sessionToken | DEFAULT_ACCESS_TOKEEN | AWS Session Token to access DynamoDB, only if you have temporary security credentials configured on AWS | | dynamoDb.* | | You can add every configuration accepted by DynamoDB SDK | | rds.dbName | | Name of the database | | rds.dbHost | | Database host | | rds.dbDialect | | Database dialect. Possible values (mysql | postgres) | | rds.dbUsername | | Database username | | rds.dbPassword | | Database password | | rds.dbPort | | Database port | | watch | - *.graphql
- *.vtl | Array of glob patterns to watch for hot-reloading. |

Example:

custom:
  appsync-simulator:
    location: '.webpack/service' # use webpack build directory
    dynamoDb:
      endpoint: 'http://my-custom-dynamo:8000'

Hot-reloading

By default, the simulator will hot-relad when changes to *.graphql or *.vtl files are detected. Changes to *.yml files are not supported (yet? - this is a Serverless Framework limitation). You will need to restart the simulator each time you change yml files.

Hot-reloading relies on watchman. Make sure it is installed on your system.

You can change the files being watched with the watch option, which is then passed to watchman as the match expression.

e.g.

custom:
  appsync-simulator:
    watch:
      - ["match", "handlers/**/*.vtl", "wholename"] # => array is interpreted as the literal match expression
      - "*.graphql"                                 # => string like this is equivalent to `["match", "*.graphql"]`

Or you can opt-out by leaving an empty array or set the option to false

Note: Functions should not require hot-reloading, unless you are using a transpiler or a bundler (such as webpack, babel or typescript), un which case you should delegate hot-reloading to that instead.

Resource CloudFormation functions resolution

This plugin supports some resources resolution from the Ref, Fn::GetAtt and Fn::ImportValue functions in your yaml file. It also supports some other Cfn functions such as Fn::Join, Fb::Sub, etc.

Note: Under the hood, this features relies on the cfn-resolver-lib package. For more info on supported cfn functions, refer to the documentation

Basic usage

You can reference resources in your functions' environment variables (that will be accessible from your lambda functions) or datasource definitions. The plugin will automatically resolve them for you.

provider:
  environment:
    BUCKET_NAME:
      Ref: MyBucket # resolves to `my-bucket-name`

resources:
  Resources:
    MyDbTable:
      Type: AWS::DynamoDB::Table
      Properties:
        TableName: myTable
      ...
    MyBucket:
      Type: AWS::S3::Bucket
      Properties:
        BucketName: my-bucket-name
    ...

# in your appsync config
dataSources:
  - type: AMAZON_DYNAMODB
    name: dynamosource
    config:
      tableName:
        Ref: MyDbTable # resolves to `myTable`

Override (or mock) values

Sometimes, some references cannot be resolved, as they come from an Output from Cloudformation; or you might want to use mocked values in your local environment.

In those cases, you can define (or override) those values using the refMap, getAttMap and importValueMap options.

  • refMap takes a mapping of resource name to value pairs
  • getAttMap takes a mapping of resource name to attribute/values pairs
  • importValueMap takes a mapping of import name to values pairs

Example:

custom:
  appsync-simulator:
    refMap:
      # Override `MyDbTable` resolution from the previous example.
      MyDbTable: 'mock-myTable'
    getAttMap:
      # define ElasticSearchInstance DomainName
      ElasticSearchInstance:
        DomainEndpoint: 'localhost:9200'
    importValueMap:
      other-service-api-url: 'https://other.api.url.com/graphql'

# in your appsync config
dataSources:
  - type: AMAZON_ELASTICSEARCH
    name: elasticsource
    config:
      # endpoint resolves as 'http://localhost:9200'
      endpoint:
        Fn::Join:
          - ''
          - - https://
            - Fn::GetAtt:
                - ElasticSearchInstance
                - DomainEndpoint

Key-value mock notation

In some special cases you will need to use key-value mock nottation. Good example can be case when you need to include serverless stage value (${self:provider.stage}) in the import name.

This notation can be used with all mocks - refMap, getAttMap and importValueMap

provider:
  environment:
    FINISH_ACTIVITY_FUNCTION_ARN:
      Fn::ImportValue: other-service-api-${self:provider.stage}-url

custom:
  serverless-appsync-simulator:
    importValueMap:
      - key: other-service-api-${self:provider.stage}-url
        value: 'https://other.api.url.com/graphql'

Limitations

This plugin only tries to resolve the following parts of the yml tree:

  • provider.environment
  • functions[*].environment
  • custom.appSync

If you have the need of resolving others, feel free to open an issue and explain your use case.

For now, the supported resources to be automatically resovled by Ref: are:

  • DynamoDb tables
  • S3 Buckets

Feel free to open a PR or an issue to extend them as well.

External functions

When a function is not defined withing the current serverless file you can still call it by providing an invoke url which should point to a REST method. Make sure you specify "get" or "post" for the method. Default is "get", but you probably want "post".

custom:
  appsync-simulator:
    functions:
      addUser:
        url: http://localhost:3016/2015-03-31/functions/addUser/invocations
        method: post
      addPost:
        url: https://jsonplaceholder.typicode.com/posts
        method: post

Supported Resolver types

This plugin supports resolvers implemented by amplify-appsync-simulator, as well as custom resolvers.

From Aws Amplify:

  • NONE
  • AWS_LAMBDA
  • AMAZON_DYNAMODB
  • PIPELINE

Implemented by this plugin

  • AMAZON_ELASTIC_SEARCH
  • HTTP
  • RELATIONAL_DATABASE

Relational Database

Sample VTL for a create mutation

#set( $cols = [] )
#set( $vals = [] )
#foreach( $entry in $ctx.args.input.keySet() )
  #set( $regex = "([a-z])([A-Z]+)")
  #set( $replacement = "$1_$2")
  #set( $toSnake = $entry.replaceAll($regex, $replacement).toLowerCase() )
  #set( $discard = $cols.add("$toSnake") )
  #if( $util.isBoolean($ctx.args.input[$entry]) )
      #if( $ctx.args.input[$entry] )
        #set( $discard = $vals.add("1") )
      #else
        #set( $discard = $vals.add("0") )
      #end
  #else
      #set( $discard = $vals.add("'$ctx.args.input[$entry]'") )
  #end
#end
#set( $valStr = $vals.toString().replace("[","(").replace("]",")") )
#set( $colStr = $cols.toString().replace("[","(").replace("]",")") )
#if ( $valStr.substring(0, 1) != '(' )
  #set( $valStr = "($valStr)" )
#end
#if ( $colStr.substring(0, 1) != '(' )
  #set( $colStr = "($colStr)" )
#end
{
  "version": "2018-05-29",
  "statements":   ["INSERT INTO <name-of-table> $colStr VALUES $valStr", "SELECT * FROM    <name-of-table> ORDER BY id DESC LIMIT 1"]
}

Sample VTL for an update mutation

#set( $update = "" )
#set( $equals = "=" )
#foreach( $entry in $ctx.args.input.keySet() )
  #set( $cur = $ctx.args.input[$entry] )
  #set( $regex = "([a-z])([A-Z]+)")
  #set( $replacement = "$1_$2")
  #set( $toSnake = $entry.replaceAll($regex, $replacement).toLowerCase() )
  #if( $util.isBoolean($cur) )
      #if( $cur )
        #set ( $cur = "1" )
      #else
        #set ( $cur = "0" )
      #end
  #end
  #if ( $util.isNullOrEmpty($update) )
      #set($update = "$toSnake$equals'$cur'" )
  #else
      #set($update = "$update,$toSnake$equals'$cur'" )
  #end
#end
{
  "version": "2018-05-29",
  "statements":   ["UPDATE <name-of-table> SET $update WHERE id=$ctx.args.input.id", "SELECT * FROM <name-of-table> WHERE id=$ctx.args.input.id"]
}

Sample resolver for delete mutation

{
  "version": "2018-05-29",
  "statements":   ["UPDATE <name-of-table> set deleted_at=NOW() WHERE id=$ctx.args.id", "SELECT * FROM <name-of-table> WHERE id=$ctx.args.id"]
}

Sample mutation response VTL with support for handling AWSDateTime

#set ( $index = -1)
#set ( $result = $util.parseJson($ctx.result) )
#set ( $meta = $result.sqlStatementResults[1].columnMetadata)
#foreach ($column in $meta)
    #set ($index = $index + 1)
    #if ( $column["typeName"] == "timestamptz" )
        #set ($time = $result["sqlStatementResults"][1]["records"][0][$index]["stringValue"] )
        #set ( $nowEpochMillis = $util.time.parseFormattedToEpochMilliSeconds("$time.substring(0,19)+0000", "yyyy-MM-dd HH:mm:ssZ") )
        #set ( $isoDateTime = $util.time.epochMilliSecondsToISO8601($nowEpochMillis) )
        $util.qr( $result["sqlStatementResults"][1]["records"][0][$index].put("stringValue", "$isoDateTime") )
    #end
#end
#set ( $res = $util.parseJson($util.rds.toJsonString($util.toJson($result)))[1][0] )
#set ( $response = {} )
#foreach($mapKey in $res.keySet())
    #set ( $s = $mapKey.split("_") )
    #set ( $camelCase="" )
    #set ( $isFirst=true )
    #foreach($entry in $s)
        #if ( $isFirst )
          #set ( $first = $entry.substring(0,1) )
        #else
          #set ( $first = $entry.substring(0,1).toUpperCase() )
        #end
        #set ( $isFirst=false )
        #set ( $stringLength = $entry.length() )
        #set ( $remaining = $entry.substring(1, $stringLength) )
        #set ( $camelCase = "$camelCase$first$remaining" )
    #end
    $util.qr( $response.put("$camelCase", $res[$mapKey]) )
#end
$utils.toJson($response)

Using Variable Map

Variable map support is limited and does not differentiate numbers and strings data types, please inject them directly if needed.

Will be escaped properly: null, true, and false values.

{
  "version": "2018-05-29",
  "statements":   [
    "UPDATE <name-of-table> set deleted_at=NOW() WHERE id=:ID",
    "SELECT * FROM <name-of-table> WHERE id=:ID and unix_timestamp > $ctx.args.newerThan"
  ],
  variableMap: {
    ":ID": $ctx.args.id,
##    ":TIMESTAMP": $ctx.args.newerThan -- This will be handled as a string!!!
  }
}

Requires

Author: Serverless-appsync
Source Code: https://github.com/serverless-appsync/serverless-appsync-simulator 
License: MIT License

#serverless #sync #graphql 

Hermann  Frami

Hermann Frami

1651319520

Serverless APIGateway Service Proxy

Serverless APIGateway Service Proxy

This Serverless Framework plugin supports the AWS service proxy integration feature of API Gateway. You can directly connect API Gateway to AWS services without Lambda.

Install

Run serverless plugin install in your Serverless project.

serverless plugin install -n serverless-apigateway-service-proxy

Supported AWS services

Here is a services list which this plugin supports for now. But will expand to other services in the feature. Please pull request if you are intersted in it.

  • Kinesis Streams
  • SQS
  • S3
  • SNS
  • DynamoDB
  • EventBridge

How to use

Define settings of the AWS services you want to integrate under custom > apiGatewayServiceProxies and run serverless deploy.

Kinesis

Sample syntax for Kinesis proxy in serverless.yml.

custom:
  apiGatewayServiceProxies:
    - kinesis: # partitionkey is set apigateway requestid by default
        path: /kinesis
        method: post
        streamName: { Ref: 'YourStream' }
        cors: true
    - kinesis:
        path: /kinesis
        method: post
        partitionKey: 'hardcordedkey' # use static partitionkey
        streamName: { Ref: 'YourStream' }
        cors: true
    - kinesis:
        path: /kinesis/{myKey} # use path parameter
        method: post
        partitionKey:
          pathParam: myKey
        streamName: { Ref: 'YourStream' }
        cors: true
    - kinesis:
        path: /kinesis
        method: post
        partitionKey:
          bodyParam: data.myKey # use body parameter
        streamName: { Ref: 'YourStream' }
        cors: true
    - kinesis:
        path: /kinesis
        method: post
        partitionKey:
          queryStringParam: myKey # use query string param
        streamName: { Ref: 'YourStream' }
        cors: true
    - kinesis: # PutRecords
        path: /kinesis
        method: post
        action: PutRecords
        streamName: { Ref: 'YourStream' }
        cors: true

resources:
  Resources:
    YourStream:
      Type: AWS::Kinesis::Stream
      Properties:
        ShardCount: 1

Sample request after deploying.

curl https://xxxxxxx.execute-api.us-east-1.amazonaws.com/dev/kinesis -d '{"message": "some data"}'  -H 'Content-Type:application/json'

SQS

Sample syntax for SQS proxy in serverless.yml.

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /sqs
        method: post
        queueName: { 'Fn::GetAtt': ['SQSQueue', 'QueueName'] }
        cors: true

resources:
  Resources:
    SQSQueue:
      Type: 'AWS::SQS::Queue'

Sample request after deploying.

curl https://xxxxxx.execute-api.us-east-1.amazonaws.com/dev/sqs -d '{"message": "testtest"}' -H 'Content-Type:application/json'

Customizing request parameters

If you'd like to pass additional data to the integration request, you can do so by including your custom API Gateway request parameters in serverless.yml like so:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /queue
        method: post
        queueName: !GetAtt MyQueue.QueueName
        cors: true

        requestParameters:
          'integration.request.querystring.MessageAttribute.1.Name': "'cognitoIdentityId'"
          'integration.request.querystring.MessageAttribute.1.Value.StringValue': 'context.identity.cognitoIdentityId'
          'integration.request.querystring.MessageAttribute.1.Value.DataType': "'String'"
          'integration.request.querystring.MessageAttribute.2.Name': "'cognitoAuthenticationProvider'"
          'integration.request.querystring.MessageAttribute.2.Value.StringValue': 'context.identity.cognitoAuthenticationProvider'
          'integration.request.querystring.MessageAttribute.2.Value.DataType': "'String'"

The alternative way to pass MessageAttribute parameters is via a request body mapping template.

Customizing request body mapping templates

See the SQS section under Customizing request body mapping templates

Customizing responses

Simplified response template customization

You can get a simple customization of the responses by providing a template for the possible responses. The template is assumed to be application/json.

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /queue
        method: post
        queueName: !GetAtt MyQueue.QueueName
        cors: true
        response:
          template:
            # `success` is used when the integration response is 200
            success: |-
              { "message: "accepted" }
            # `clientError` is used when the integration response is 400
            clientError: |-
              { "message": "there is an error in your request" }
            # `serverError` is used when the integration response is 500
            serverError: |-
              { "message": "there was an error handling your request" }

Full response customization

If you want more control over the integration response, you can provide an array of objects for the response value:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /queue
        method: post
        queueName: !GetAtt MyQueue.QueueName
        cors: true
        response:
          - statusCode: 200
            selectionPattern: '2\\d{2}'
            responseParameters: {}
            responseTemplates:
              application/json: |-
                { "message": "accepted" }

The object keys correspond to the API Gateway integration response object.

S3

Sample syntax for S3 proxy in serverless.yml.

custom:
  apiGatewayServiceProxies:
    - s3:
        path: /s3
        method: post
        action: PutObject
        bucket:
          Ref: S3Bucket
        key: static-key.json # use static key
        cors: true

    - s3:
        path: /s3/{myKey} # use path param
        method: get
        action: GetObject
        bucket:
          Ref: S3Bucket
        key:
          pathParam: myKey
        cors: true

    - s3:
        path: /s3
        method: delete
        action: DeleteObject
        bucket:
          Ref: S3Bucket
        key:
          queryStringParam: key # use query string param
        cors: true

resources:
  Resources:
    S3Bucket:
      Type: 'AWS::S3::Bucket'

Sample request after deploying.

curl https://xxxxxx.execute-api.us-east-1.amazonaws.com/dev/s3 -d '{"message": "testtest"}' -H 'Content-Type:application/json'

Customizing request parameters

Similar to the SQS support, you can customize the default request parameters serverless.yml like so:

custom:
  apiGatewayServiceProxies:
    - s3:
        path: /s3
        method: post
        action: PutObject
        bucket:
          Ref: S3Bucket
        cors: true

        requestParameters:
          # if requestParameters has a 'integration.request.path.object' property you should remove the key setting
          'integration.request.path.object': 'context.requestId'
          'integration.request.header.cache-control': "'public, max-age=31536000, immutable'"

Customizing request templates

If you'd like use custom API Gateway request templates, you can do so like so:

custom:
  apiGatewayServiceProxies:
    - s3:
        path: /s3
        method: get
        action: GetObject
        bucket:
          Ref: S3Bucket
        request:
          template:
            application/json: |
              #set ($specialStuff = $context.request.header.x-special)
              #set ($context.requestOverride.path.object = $specialStuff.replaceAll('_', '-'))
              {}

Note that if the client does not provide a Content-Type header in the request, ApiGateway defaults to application/json.

Customize the Path Override in API Gateway

Added the new customization parameter that lets the user set a custom Path Override in API Gateway other than the {bucket}/{object} This parameter is optional and if not set, will fall back to {bucket}/{object} The Path Override will add {bucket}/ automatically in front

Please keep in mind, that key or path.object still needs to be set at the moment (maybe this will be made optional later on with this)

Usage (With 2 Path Parameters (folder and file and a fixed file extension)):

custom:
  apiGatewayServiceProxies:
    - s3:
        path: /s3/{folder}/{file}
        method: get
        action: GetObject
        pathOverride: '{folder}/{file}.xml'
        bucket:
          Ref: S3Bucket
        cors: true

        requestParameters:
          # if requestParameters has a 'integration.request.path.object' property you should remove the key setting
          'integration.request.path.folder': 'method.request.path.folder'
          'integration.request.path.file': 'method.request.path.file'
          'integration.request.path.object': 'context.requestId'
          'integration.request.header.cache-control': "'public, max-age=31536000, immutable'"

This will result in API Gateway setting the Path Override attribute to {bucket}/{folder}/{file}.xml So for example if you navigate to the API Gatway endpoint /language/en it will fetch the file in S3 from {bucket}/language/en.xml

Can use greedy, for deeper Folders

The forementioned example can also be shortened by a greedy approach. Thanks to @taylorreece for mentioning this.

custom:
  apiGatewayServiceProxies:
    - s3:
        path: /s3/{myPath+}
        method: get
        action: GetObject
        pathOverride: '{myPath}.xml'
        bucket:
          Ref: S3Bucket
        cors: true

        requestParameters:
          # if requestParameters has a 'integration.request.path.object' property you should remove the key setting
          'integration.request.path.myPath': 'method.request.path.myPath'
          'integration.request.path.object': 'context.requestId'
          'integration.request.header.cache-control': "'public, max-age=31536000, immutable'"

This will translate for example /s3/a/b/c to a/b/c.xml

Customizing responses

You can get a simple customization of the responses by providing a template for the possible responses. The template is assumed to be application/json.

custom:
  apiGatewayServiceProxies:
    - s3:
        path: /s3
        method: post
        action: PutObject
        bucket:
          Ref: S3Bucket
        key: static-key.json
        response:
          template:
            # `success` is used when the integration response is 200
            success: |-
              { "message: "accepted" }
            # `clientError` is used when the integration response is 400
            clientError: |-
              { "message": "there is an error in your request" }
            # `serverError` is used when the integration response is 500
            serverError: |-
              { "message": "there was an error handling your request" }

SNS

Sample syntax for SNS proxy in serverless.yml.

custom:
  apiGatewayServiceProxies:
    - sns:
        path: /sns
        method: post
        topicName: { 'Fn::GetAtt': ['SNSTopic', 'TopicName'] }
        cors: true

resources:
  Resources:
    SNSTopic:
      Type: AWS::SNS::Topic

Sample request after deploying.

curl https://xxxxxx.execute-api.us-east-1.amazonaws.com/dev/sns -d '{"message": "testtest"}' -H 'Content-Type:application/json'

Customizing responses

Simplified response template customization

You can get a simple customization of the responses by providing a template for the possible responses. The template is assumed to be application/json.

custom:
  apiGatewayServiceProxies:
    - sns:
        path: /sns
        method: post
        topicName: { 'Fn::GetAtt': ['SNSTopic', 'TopicName'] }
        cors: true
        response:
          template:
            # `success` is used when the integration response is 200
            success: |-
              { "message: "accepted" }
            # `clientError` is used when the integration response is 400
            clientError: |-
              { "message": "there is an error in your request" }
            # `serverError` is used when the integration response is 500
            serverError: |-
              { "message": "there was an error handling your request" }

Full response customization

If you want more control over the integration response, you can provide an array of objects for the response value:

custom:
  apiGatewayServiceProxies:
    - sns:
        path: /sns
        method: post
        topicName: { 'Fn::GetAtt': ['SNSTopic', 'TopicName'] }
        cors: true
        response:
          - statusCode: 200
            selectionPattern: '2\d{2}'
            responseParameters: {}
            responseTemplates:
              application/json: |-
                { "message": "accepted" }

The object keys correspond to the API Gateway integration response object.

Content Handling and Pass Through Behaviour customization

If you want to work with binary fata, you can not specify contentHandling and PassThrough inside the request object.

custom:
  apiGatewayServiceProxies:
    - sns:
        path: /sns
        method: post
        topicName: { 'Fn::GetAtt': ['SNSTopic', 'TopicName'] }
        request:
          contentHandling: CONVERT_TO_TEXT
          passThrough: WHEN_NO_TEMPLATES

The allowed values correspond with the API Gateway Method integration for ContentHandling and PassthroughBehavior

DynamoDB

Sample syntax for DynamoDB proxy in serverless.yml. Currently, the supported DynamoDB Operations are PutItem, GetItem and DeleteItem.

custom:
  apiGatewayServiceProxies:
    - dynamodb:
        path: /dynamodb/{id}/{sort}
        method: put
        tableName: { Ref: 'YourTable' }
        hashKey: # set pathParam or queryStringParam as a partitionkey.
          pathParam: id
          attributeType: S
        rangeKey: # required if also using sort key. set pathParam or queryStringParam.
          pathParam: sort
          attributeType: S
        action: PutItem # specify action to the table what you want
        condition: attribute_not_exists(Id) # optional Condition Expressions parameter for the table
        cors: true
    - dynamodb:
        path: /dynamodb
        method: get
        tableName: { Ref: 'YourTable' }
        hashKey:
          queryStringParam: id # use query string parameter
          attributeType: S
        rangeKey:
          queryStringParam: sort
          attributeType: S
        action: GetItem
        cors: true
    - dynamodb:
        path: /dynamodb/{id}
        method: delete
        tableName: { Ref: 'YourTable' }
        hashKey:
          pathParam: id
          attributeType: S
        action: DeleteItem
        cors: true

resources:
  Resources:
    YourTable:
      Type: AWS::DynamoDB::Table
      Properties:
        TableName: YourTable
        AttributeDefinitions:
          - AttributeName: id
            AttributeType: S
          - AttributeName: sort
            AttributeType: S
        KeySchema:
          - AttributeName: id
            KeyType: HASH
          - AttributeName: sort
            KeyType: RANGE
        ProvisionedThroughput:
          ReadCapacityUnits: 1
          WriteCapacityUnits: 1

Sample request after deploying.

curl -XPUT https://xxxxxxx.execute-api.us-east-1.amazonaws.com/dev/dynamodb/<hashKey>/<sortkey> \
 -d '{"name":{"S":"john"},"address":{"S":"xxxxx"}}' \
 -H 'Content-Type:application/json'

EventBridge

Sample syntax for EventBridge proxy in serverless.yml.

custom:
  apiGatewayServiceProxies:
    - eventbridge:  # source and detailType are hardcoded; detail defaults to POST body
        path: /eventbridge
        method: post
        source: 'hardcoded_source'
        detailType: 'hardcoded_detailType'
        eventBusName: { Ref: 'YourBusName' }
        cors: true
    - eventbridge:  # source and detailType as path parameters
        path: /eventbridge/{detailTypeKey}/{sourceKey}
        method: post
        detailType:
          pathParam: detailTypeKey
        source:
          pathParam: sourceKey
        eventBusName: { Ref: 'YourBusName' }
        cors: true
    - eventbridge:  # source, detail, and detailType as body parameters
        path: /eventbridge/{detailTypeKey}/{sourceKey}
        method: post
        detailType:
          bodyParam: data.detailType
        source:
          bodyParam: data.source
        detail:
          bodyParam: data.detail
        eventBusName: { Ref: 'YourBusName' }
        cors: true

resources:
  Resources:
    YourBus:
      Type: AWS::Events::EventBus
      Properties:
        Name: YourEventBus

Sample request after deploying.

curl https://xxxxxxx.execute-api.us-east-1.amazonaws.com/dev/eventbridge -d '{"message": "some data"}'  -H 'Content-Type:application/json'

Common API Gateway features

Enabling CORS

To set CORS configurations for your HTTP endpoints, simply modify your event configurations as follows:

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /kinesis
        method: post
        streamName: { Ref: 'YourStream' }
        cors: true

Setting cors to true assumes a default configuration which is equivalent to:

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /kinesis
        method: post
        streamName: { Ref: 'YourStream' }
        cors:
          origin: '*'
          headers:
            - Content-Type
            - X-Amz-Date
            - Authorization
            - X-Api-Key
            - X-Amz-Security-Token
            - X-Amz-User-Agent
          allowCredentials: false

Configuring the cors property sets Access-Control-Allow-Origin, Access-Control-Allow-Headers, Access-Control-Allow-Methods,Access-Control-Allow-Credentials headers in the CORS preflight response. To enable the Access-Control-Max-Age preflight response header, set the maxAge property in the cors object:

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /kinesis
        method: post
        streamName: { Ref: 'YourStream' }
        cors:
          origin: '*'
          maxAge: 86400

If you are using CloudFront or another CDN for your API Gateway, you may want to setup a Cache-Control header to allow for OPTIONS request to be cached to avoid the additional hop.

To enable the Cache-Control header on preflight response, set the cacheControl property in the cors object:

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /kinesis
        method: post
        streamName: { Ref: 'YourStream' }
        cors:
          origin: '*'
          headers:
            - Content-Type
            - X-Amz-Date
            - Authorization
            - X-Api-Key
            - X-Amz-Security-Token
            - X-Amz-User-Agent
          allowCredentials: false
          cacheControl: 'max-age=600, s-maxage=600, proxy-revalidate' # Caches on browser and proxy for 10 minutes and doesnt allow proxy to serve out of date content

Adding Authorization

You can pass in any supported authorization type:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /sqs
        method: post
        queueName: { 'Fn::GetAtt': ['SQSQueue', 'QueueName'] }
        cors: true

        # optional - defaults to 'NONE'
        authorizationType: 'AWS_IAM' # can be one of ['NONE', 'AWS_IAM', 'CUSTOM', 'COGNITO_USER_POOLS']

        # when using 'CUSTOM' authorization type, one should specify authorizerId
        # authorizerId: { Ref: 'AuthorizerLogicalId' }
        # when using 'COGNITO_USER_POOLS' authorization type, one can specify a list of authorization scopes
        # authorizationScopes: ['scope1','scope2']

resources:
  Resources:
    SQSQueue:
      Type: 'AWS::SQS::Queue'

Source: AWS::ApiGateway::Method docs

Enabling API Token Authentication

You can indicate whether the method requires clients to submit a valid API key using private flag:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /sqs
        method: post
        queueName: { 'Fn::GetAtt': ['SQSQueue', 'QueueName'] }
        cors: true
        private: true

resources:
  Resources:
    SQSQueue:
      Type: 'AWS::SQS::Queue'

which is the same syntax used in Serverless framework.

Source: Serverless: Setting API keys for your Rest API

Source: AWS::ApiGateway::Method docs

Using a Custom IAM Role

By default, the plugin will generate a role with the required permissions for each service type that is configured.

You can configure your own role by setting the roleArn attribute:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /sqs
        method: post
        queueName: { 'Fn::GetAtt': ['SQSQueue', 'QueueName'] }
        cors: true
        roleArn: # Optional. A default role is created when not configured
          Fn::GetAtt: [CustomS3Role, Arn]

resources:
  Resources:
    SQSQueue:
      Type: 'AWS::SQS::Queue'
    CustomS3Role:
      # Custom Role definition
      Type: 'AWS::IAM::Role'

Customizing API Gateway parameters

The plugin allows one to specify which parameters the API Gateway method accepts.

A common use case is to pass custom data to the integration request:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /sqs
        method: post
        queueName: { 'Fn::GetAtt': ['SqsQueue', 'QueueName'] }
        cors: true
        acceptParameters:
          'method.request.header.Custom-Header': true
        requestParameters:
          'integration.request.querystring.MessageAttribute.1.Name': "'custom-Header'"
          'integration.request.querystring.MessageAttribute.1.Value.StringValue': 'method.request.header.Custom-Header'
          'integration.request.querystring.MessageAttribute.1.Value.DataType': "'String'"
resources:
  Resources:
    SqsQueue:
      Type: 'AWS::SQS::Queue'

Any published SQS message will have the Custom-Header value added as a message attribute.

Customizing request body mapping templates

Kinesis

If you'd like to add content types or customize the default templates, you can do so by including your custom API Gateway request mapping template in serverless.yml like so:

# Required for using Fn::Sub
plugins:
  - serverless-cloudformation-sub-variables

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /kinesis
        method: post
        streamName: { Ref: 'MyStream' }
        request:
          template:
            text/plain:
              Fn::Sub:
                - |
                  #set($msgBody = $util.parseJson($input.body))
                  #set($msgId = $msgBody.MessageId)
                  {
                      "Data": "$util.base64Encode($input.body)",
                      "PartitionKey": "$msgId",
                      "StreamName": "#{MyStreamArn}"
                  }
                - MyStreamArn:
                    Fn::GetAtt: [MyStream, Arn]

It is important that the mapping template will return a valid application/json string

Source: How to connect SNS to Kinesis for cross-account delivery via API Gateway

SQS

Customizing SQS request templates requires us to force all requests to use an application/x-www-form-urlencoded style body. The plugin sets the Content-Type header to application/x-www-form-urlencoded for you, but API Gateway will still look for the template under the application/json request template type, so that is where you need to configure you request body in serverless.yml:

custom:
  apiGatewayServiceProxies:
    - sqs:
        path: /{version}/event/receiver
        method: post
        queueName: { 'Fn::GetAtt': ['SqsQueue', 'QueueName'] }
        request:
          template:
            application/json: |-
              #set ($body = $util.parseJson($input.body))
              Action=SendMessage##
              &MessageGroupId=$util.urlEncode($body.event_type)##
              &MessageDeduplicationId=$util.urlEncode($body.event_id)##
              &MessageAttribute.1.Name=$util.urlEncode("X-Custom-Signature")##
              &MessageAttribute.1.Value.DataType=String##
              &MessageAttribute.1.Value.StringValue=$util.urlEncode($input.params("X-Custom-Signature"))##
              &MessageBody=$util.urlEncode($input.body)

Note that the ## at the end of each line is an empty comment. In VTL this has the effect of stripping the newline from the end of the line (as it is commented out), which makes API Gateway read all the lines in the template as one line.

Be careful when mixing additional requestParameters into your SQS endpoint as you may overwrite the integration.request.header.Content-Type and stop the request template from being parsed correctly. You may also unintentionally create conflicts between parameters passed using requestParameters and those in your request template. Typically you should only use the request template if you need to manipulate the incoming request body in some way.

Your custom template must also set the Action and MessageBody parameters, as these will not be added for you by the plugin.

When using a custom request body, headers sent by a client will no longer be passed through to the SQS queue (PassthroughBehavior is automatically set to NEVER). You will need to pass through headers sent by the client explicitly in the request body. Also, any custom querystring parameters in the requestParameters array will be ignored. These also need to be added via the custom request body.

SNS

Similar to the Kinesis support, you can customize the default request mapping templates in serverless.yml like so:

# Required for using Fn::Sub
plugins:
  - serverless-cloudformation-sub-variables

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /sns
        method: post
        topicName: { 'Fn::GetAtt': ['SNSTopic', 'TopicName'] }
        request:
          template:
            application/json:
              Fn::Sub:
                - "Action=Publish&Message=$util.urlEncode('This is a fixed message')&TopicArn=$util.urlEncode('#{MyTopicArn}')"
                - MyTopicArn: { Ref: MyTopic }

It is important that the mapping template will return a valid application/x-www-form-urlencoded string

Source: Connect AWS API Gateway directly to SNS using a service integration

Custom response body mapping templates

You can customize the response body by providing mapping templates for success, server errors (5xx) and client errors (4xx).

Templates must be in JSON format. If a template isn't provided, the integration response will be returned as-is to the client.

Kinesis Example

custom:
  apiGatewayServiceProxies:
    - kinesis:
        path: /kinesis
        method: post
        streamName: { Ref: 'MyStream' }
        response:
          template:
            success: |
              {
                "success": true
              }
            serverError: |
              {
                "success": false,
                "errorMessage": "Server Error"
              }
            clientError: |
              {
                "success": false,
                "errorMessage": "Client Error"
              }

Author: Serverless-operations
Source Code: https://github.com/serverless-operations/serverless-apigateway-service-proxy 
License: 

#serverless #api #aws 

What is Sensitrust (SETS) | What is SETS token | Sensitrust (SETS) ICO

Sensitrust is a platform where customers and professionals get in touch, make deals and design new projects. Every phase exploits blockchain technologies, managed by Smart Contracts, and supported by Artificial Intelligence.

What is Sensitrust?

Sensitrust is a platform where customers and professionals get in touch, make deals and design new projects. Every phase exploits blockchain technologies, managed by Smart Contracts, and supported by Artificial Intelligence.

A Decentralized Job Marketplace

A Decentralized Job Marketplace

Sensitrust will help people to establish and grow a professional network, to easily find providers of products and services of interest, or to design a project that will be realized by experts.

The only limit is your imagination!

Regulated by smart contracts

All the operations performed in the platform will be regulated by Smart Contracts: agreements, quality and temporal constraints, checkpoints and revisions will be governed, in a decentralized, immutable, and certified manner.

A place to learn and grow

The professional growth of people is one of our main goals. With Sensitrust, trainees will gain access to learning resources, courses, and opportunities to contribute to real activities and projects. Their effort will be truly recognized and rewarded!

Supported by Artificial Intelligence

All the activities within the platform, ranging from the selection of opportunities to the automated revision of products and services, will exploit sophisticated Artificial Intelligence techniques developed by our team of experts.

Issues of classical Job Markets

In classical job markets, there are several issues that make the main processes ineffective or inefficient.

We are going to face them through our Blockchain-based platform

grade

Quality of the result

The quality of the result is usually difficult to estimate. Classical approaches based on feedbacks are often flawed by fake comments and reviews.

access_time

Time constraints

Almost all the tasks require to be performed within a given time-frame. Assuring that this constraint is respected is nowadays fundamental.

gavel

Bureaucratic procedures

Offline and online hiring procedures often require heavy and complex bureaucratic procedures to ensure that the parties fulfill the contract.

done_all

Validation of the result

Result validation is often tricky, especially if it takes place among parties that are physically located in different countries.

Risk management

The hiring process is often based on presumed or self-declared skills. This increases the risk of incurring in unexpected costs.

group_add

Inclusion

The inclusion of new trainees in an organization often requires high training costs. Moreover, their work is rarely recognized officially.

Seeking for a professional?

Sensitrust will allow you to search for any kind of professionals and service providers from around the world

looks_one

Hire a professional

Define requirements and constraints of the desired product/service and hire a professional from the Sensitrust catalogue.

looks_two

Lock the agreed compensation

Allocate the agreed amount, which will be kept locked by a smart contract until the delivery of the product/service.

looks_3

Evaluate the result

Evaluate the result with the support of a set of expert reviewers. Once approved, the smart contract releases the compensation to the professional.

Seeking for a job opportunity?

Sensitrust will allow you to candidate yourself to participate to call for actions, projects and activities

looks_one

Participate to a call

Select a call to which you can contribute with your skills and propose yourself to perform an activity.

looks_two

Negotiate your participation

Find an agreement about the requirements of the product/service that you will provide, as well as of the constraints to be satisfied.

looks_3

Provide the result and get rewarded

Once you provide the product/service, and after a positive evaluation, you will receive the agreed compensation.

Why SETS Tokens?

Sensitrust will offer a series of exclusive features and advantages, that will be accessible through our token at a discounted price

tune

Platform consultant

Get suggestions, improve product and service requirements, and solve disputes through our AI engine and our human experts.

equalizer

Skill levels

Get the possibility to **hire highly-skilled professionals: **improve the final quality of your desired product/service.

assessment

Guaranteed KPIs

Define both loose and strict requirements for the desired product/service and get them automatically verified.

stars

Membership

Get access to all-inclusive packages, that will provide you with a set of useful features and exclusive advantages.

fitness_center

Training resources

Improve your skills! Gain access to exclusive training resources, including online courses, seminars and webinars.

person_add

Early workers

Join the platform as a trainee, participate to new activities, grow your professional skills, and get officially recognized.

Token sale participants will benefit from additional advantages:

Early access to the beta platform and free access to premium services during the launch.

SETS token details

Symbol: SETS

Type: ERC20

Decimals: 18

Total Supply: 200M SETS

Presale: 10M SETS

Presale price: € 0.05

Public Sale: 130M SETS

Public Sale price: € 0.08

Buy SETS with: USDT.ERC20, LTC, ETH, TRX, BTC, FIAT

Token distribution

Token distribution

Funds distribution

Funds distribution

extension Token details

Would you like to earn many cryptocurrencies right now! ☞ CLICK HERE

CO DATE: Mar 1, 2020 - Dec 31, 2020

Visit ICO Website ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Social Channel
Message Board

Create an Account and Trade Cryptocurrency NOW

Bittrex
Poloniex
Binance

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#cryptocurrency #bitcoin #sensitrust #sets

What is Sensitrust (SETS) | What is Sensitrust token | What is SETS token

In this article, we’ll discuss information about the Sensitrust project and SETS token

What is Sensitrust?

Sensitrust is a platform where customers and professionals get in touch, make deals and design new projects. Every phase exploits blockchain technologies,  managed by Smart Contracts, and supported by  Artificial Intelligence.

The SENSITRUST project will exploit Blockchain and Artificial Intelligence technologies to develop an innovative platform that will positively impact and solve many existing issues in the job market. The SENSITRUST platform will be tightly coupled with the Blockchain, fostering safety and transparency, reducing the need of a trusted and centralized entity in charge of managing the information.

The Sensitrust platform will connect customers and professionals, offering to the whole community the possibility to: * Hire a Team made of one or more professionals from a catalogue. * Setup a ”Call To Action” specifying the funds available, time constraints, and project requirements.

A Decentralized Job Marketplace

Sensitrustwill help people to establish and grow a professional network, to easily find providers of products and services of interest, or to design a project that will be realized by experts.

The only limit is your imagination!

Regulated by smart contracts

All the operations performed in the platform will be regulated by Smart Contracts: agreements, quality and temporal constraints, checkpoints and revisions will be governed, in a decentralized, immutable, and certified manner.

A place to learn and grow

A place to learn and grow

The professional growth of people is one of our main goals. With Sensitrust, trainees will gain access to learning resources, courses, and opportunities to contribute to real activities and projects. Their effort will be truly recognized and rewarded!

Supported by Artificial Intelligence

Supported by Artificial Intelligence

All the activities within the platform, ranging from the selection of opportunities to the automated revision of products and services, will exploit sophisticated Artificial Intelligence techniques developed by our team of experts.

Artificial Intelligence

Sensitrust will heavily rely on Artificial Intelligence techniques to support all the activities in the platform.

Past experiences become knowledge to make smarter choices!

Customer Satisfaction

The prediction engine will provide an estimation of the quality of the service possibly provided by the different professionals. The engine will exploit the matching between the professionals’ profiles and the requirements.

Specs Recommendation

The engine will provide recommendations in the design of new projects, and in the definition of product requirements. The past experience of similar activities, as well as feedbacks, will be exploited to improve future activities.

Suggestion of Professionals

The platform will suggest the most promising professionals for a given activity, on the basis of the matching between specific skills and product requirements, and by exploiting past feedbacks received for real past activities.

Suggestion of Opportunities

The platform will suggest the most promising opportunities for your professional skills, by analyzing the product/service requirements defined by customers.

Automated review of results

The review engine will support both customers and professionals to evaluate whether the final product/service satisfies the agreed requirements and if all the constraints were satisfied.

What are the main points of innovation of Sensitrust?

  • Foster safety and transparency
  • Certify the identity and the reputation of professionals
  • Guarantee the satisfaction of specifications and constraints during the project development
  • Adoption of smart contracts to define and verify agreements in working relationships
  • Enhanced data management
  • Integration of AI methodologies with Blockchain technologies

What are examples of use cases defined for the SETS token?

The SETS token is a utility token that is used for accessing platform services at a discounted price, such as:

  • Membership Subscriptions
  • Platform Consultant
  • Product / Service Guarantees
  • In-Platform Training

Why SETS Tokens?

Sensitrust will offer a series of exclusive features and advantages, that will be  accessible through our token at a discounted price

tune

Platform consultant

Get  suggestions, improve product and service requirements, and solve disputes  through our AI engine and our human experts.

equalizer

Skill levels

Get the possibility to  hire highly-skilled professionals: improve the final quality of your desired product/service.

assessment

Guaranteed KPIs

Define both loose and strict requirements for the desired product/service and get them automatically verified.

stars

Membership

Get access to all-inclusive packages, that will provide you with a set of useful features and exclusive advantages.

fitness_center

Training resources

Improve your skills! Gain access to exclusive training resources, including online courses, seminars and webinars.

person_add

Early workers

Join the platform as a trainee, participate to new activities, grow your professional skills, and get officially recognized.

Token sale participants will benefit from additional advantages:

Early access to the beta platform and free access to premium services during the launch.

What is the innovative approach of interactions between professionals and customers?

Each agreement between professionals and customers will also include the definition of a maximum number of revisions allowed, as well as expected penalties in case of delayed delivery, or rewards in case of early delivery. All the operations performed in the platform will have the possibility to be regulated by Smart Contracts: agreements, quality of the results, temporal constraints, checkpoints and revisions will be governed, in a decentralized, immutable, and certified manner.

Once the work is completed, the result is subject to a deep evaluation by the customer, by external expert reviewers and by an AI engine. An automated workflow, also supported by decentralized components ensures the fairness of the negotiations and the mutual satisfaction of customers and professionals.

Use cases

Although Sensitrust is a general platform, we will develop special features to solve specific issues in some interesting fields

smartphone Information Technology

IT companies require to hire qualified personnel to carry out the specific needs of a project. Sometimes, urgent maintenance activities are needed, in terms of actions to solve critical bugs. A crucial aspect is also that of consultancy, provided by experts to solve known and specific problems.

school Academy

Universities and research institutes need international teams to effectively carry out research projects. Moreover, it is often necessary to find specialized reviewers to evaluate articles or research projects. From the teaching perspective, highly-qualified experts are needed to teach specific topics.

Banking use case

account_balance Banking & Trading

Banking institutions need to  seek data scientists to monitor, analyze and carry out trading operations. Moreover, they always need to study and  develop innovative products and services, or to evolve existing traditional services towards recent technologies, including  Blockchain.

Who Are the Founders of Sensitrust?

The company behind the Sensitrust project was founded in 2019 by three academic researchers. They have extensive experience in the fields of AI and full-stack development, including smart contracts development. Two co-founders hold full-time academic positions and have extensive experience in research projects. The project envisions the involvement of experts and advisors in the field of blockchain, AI and Data Mining, financial consultants, and personnel with specific knowledge in different job market fields.

How and Where to Buy SETS ?

SETS token is now live on the Ethereum mainnet. The token address for SETS is 0x04E0Af0af1b7f0023c6B12af5a94Df59B0e8cF59. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.

Just be sure you have enough ETH in your wallet to cover the transaction fees.

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

SIGN UP ON BINANCE

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)

Next step

You need a wallet address to Connect to Uniswap Decentralized Exchange, we use Metamask wallet

If you don’t have a Metamask wallet, read this article and follow the steps

What is Metamask wallet | How to Create a wallet and Use

Transfer $ETH to your new Metamask wallet from your existing wallet

Next step

Connect Metamask wallet to Uniswap Decentralized Exchange and Buy, Swap SETS token

Contract: 0x04E0Af0af1b7f0023c6B12af5a94Df59B0e8cF59

Read more: What is Uniswap | Beginner’s Guide on How to Use Uniswap

The top exchange for trading in SETS token is currently Uniswap and Bilaxy
There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once SETS gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!

Top exchanges for token-coin trading. Follow instructions and make unlimited money

https://www.binance.com
  ☞ https://www.bittrex.com
  ☞ https://www.poloniex.com
  ☞ https://www.bitfinex.com
  ☞ https://www.huobi.com

Find more information SETS

WebsiteAnnouncementExplorerSource CodeSocial ChannelSocial Channel 2Social Channel 3Coinmarketcap

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

🔥 If you’re a beginner. I believe the article below will be useful to you

⭐ ⭐ ⭐ What You Should Know Before Investing in Cryptocurrency - For Beginner ⭐ ⭐ ⭐

Would you like to earn TOKEN right now! ☞ CLICK HERE

I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!

#blockchain #bitcoin #sets #sensitrust

Deep Shah

Deep Shah

1603255867

ICO Development Company | Hire ICO Developer in India | ICO Consulting

We at ICO Development cover all the major steps or activities i.e. light paper & white paper drafting, coin or token creation, ICO fundraising dashboard, coin drop, marketing plan, bounty management etc. that will help you to raise a successful ICO.

#ico development #ico development services #ico solutions #ico services #ico development company