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@flexbase/persona-node-client

v0.4.2

Published

Node.js Client for Persona API

Downloads

1,376

Readme

persona-node-client

persona-node-client is a Node/JS and TypeScript Client for Persona that allows you to use normal Node syntax to Inquiries, Verifications, Reports, Accounts and other data from the Persona API.

Install

# with npm
$ npm install @flexbase/persona-node-client

Usage

This README isn't going to cover all the specifics of what Persona is, and how to use it - it's targeted as a companion to the Persona developer docs that explain each of the endpoints and how the general Persona API works.

However, we'll put in plenty of examples so that it's clear how to use this library to interact with OPersona.

Getting your API key

This client uses the same API key that you get when you visit the docs about obtaining your API key. Be it a sandbox key, or a production key, the docs and Persona Dashboard are pretty clear about how to get your API key.

Creating the Client

At the current time, a targeted subset of functions are available from the client. These are currently about the Account and Verification domains, as well as the detailed Database Verification domain. As we add more features, this client will exapnd, but for now, this works as we need it to.

The basic construction of the client is:

import { Persona } from 'persona-node-client'
const client = new Persona(apiKey)

If you'd like to provide the Persona Version to use, or the Key Inflection, these can also be provided in the constructor:

const client = new Persona(apiKey, {
  personaVersion: '2021-07-05',
  keyInflection: 'camel',
})

where the options can include:

  • host - the hostname where all Persona calls should be sent
  • apiKey - the API Key if you'd like to put it in the options
  • keyInflection - the casing of the responses: camel, snake, etc.
  • personaVersion - the version of Persona's API that you wish to call

Account Calls

As stated in the Persona documentation:

The account represents a verified individual and contains one or more inquiries. The primary use of the account endpoints is to fetch previously submitted information for an individual.

List all Accounts

You can get a list of all existing Accounts with a single call:

const resp = await client.account.list()

where the default is to display the first 10 Accounts for the organization, and the response will be something like:

{
  success: true,
  accounts: [
    {
      type: 'account',
      id: 'act_ivNy2ZA8HHazkkPDZUWDmo2K',
      attributes: [Object]
    },
    {
      type: 'account',
      id: 'act_S62jF245bU8pvPKvv9ALYKHM',
      attributes: [Object]
    },
    {
      type: 'account',
      id: 'act_e9ZNggooRhGywARBeRLo2e4Q',
      attributes: [Object]
    },
    {
      type: 'account',
      id: 'act_2mqkNU3uPecc3vrTf2xDnwkF',
      attributes: [Object]
    },
    {
      type: 'account',
      id: 'act_smwy9CMVW5TzNMH1booyF9W6',
      attributes: [Object]
    },
    ...
  ],
  details: {
    requestId: '48b9dda8-083b-4db7-8fdb-74467748db5f',
    runtime: 0.713731
  }
}

where each of the [Object] values in attributes looks something like:

{
  referenceId: '03f1a8f1-75ad-435a-8b9e-05dc77f2f61a',
  createdAt: '2022-06-30T16:25:26.000Z',
  updatedAt: '2022-06-30T16:25:27.000Z',
  nameFirst: 'Tralisha',
  nameMiddle: null,
  nameLast: 'Fenton',
  phoneNumber: '903-991-3776',
  emailAddress: '[email protected]',
  addressStreet1: '327 Briarbend Rd',
  addressStreet2: null,
  addressCity: 'Goose Creek',
  addressSubdivision: 'South Carolina',
  addressPostalCode: '294457778',
  countryCode: 'US',
  birthdate: '1998-01-11',
  socialSecurityNumber: '111-22-3333',
  tags: [],
  id: 'act_smwy9CMVW5TzNMH1booyF9W6'
}

There are several optional parameters to many of the Persona calls, and they are all included in the call in this format:

const resp = await client.account.list({
  size: 20,
})

and for this call, the options are:

  • beforeId - the id of the Account that will be the terminal account for the list
  • afterId - the id of the Account that won't appear on the list, and is often the last id from the previous paging fetch of the list.
  • size - the number of elements to return
  • filterRefId - the referenceId to filter based on that value being supplied by the user when the Account was created.

If there had been an error, the response could be something like:

{
  "success": false,
  "error": {
    "type": "persona",
    "causes": [
      { "title": "Record not found" },
      ...
    ]
  }
}

So looking at the success value of the response will quickly let you know the outcome of the call.

Retrieve an Account

You can pull back an Account that has been previously created with:

const resp = await client.account.byId('act_GSzquZ2gyBXsJ9yKB7HJuhW7')

where the single argument is the Account id, and the result will look something like:

{
  success: true,
  account: {
    type: 'account',
    id: 'act_GSzquZ2gyBXsJ9yKB7HJuhW7',
    attributes: {
      referenceId: 'ec9ff3f2-d49f-4cf5-9a3a-66bc628c47d1',
      createdAt: '2022-06-25T11:12:22.000Z',
      updatedAt: '2022-07-06T09:00:28.000Z',
      nameFirst: 'Jacob',
      nameMiddle: null,
      nameLast: 'Woods',
      phoneNumber: '680-206-6197',
      emailAddress: '[email protected]',
      addressStreet1: '8601 Sugarlimb Rd',
      addressStreet2: null,
      addressCity: 'Loudon',
      addressSubdivision: 'Tennessee',
      addressPostalCode: '377746323',
      countryCode: 'US',
      birthdate: '1998-01-11',
      socialSecurityNumber: '111-22-3333',
      tags: [Array]
    }
  },
  details: {
    requestId: 'be396edb-1999-49ac-acbf-b6694ed56feb',
    runtime: 0.085191
  }
}

Create an Account

You can create an Account by passing in at least some parts of the AccountAttributes object:

const resp = await client.account.create({
  referenceId: '7ab50553-67ee-4b59-9adb-dbce7f37af0a',
  nameFirst: 'Jacob',
  nameLast: 'Woods',
  birthdate: '1998-01-11',
  addressStreet1: '8601 Sugarlimb Ave',
  addressCity: 'Loudon',
  addressSubdivision: 'TN',
  addressPostalCode: '37774',
  countryCode: 'US',
  emailAddress: '[email protected]',
  phoneNumber: '312-555-1212',
  socialSecurityNumber: '111-22-3333',
  tags: ['bad-actor', 'trouble'],
})

and the result will look something like:

{
  success: true,
  account: {
    type: 'account',
    id: 'act_GSzquZ2gyBXsJ9yKB7HJuhW7',
    attributes: {
      referenceId: '7ab50553-67ee-4b59-9adb-dbce7f37af0a',
      nameFirst: 'Jacob',
      nameLast: 'Woods',
      birthdate: '1998-01-11',
      addressStreet1: '8601 Sugarlimb Rd',
      addressCity: 'Loudon',
      addressSubdivision: 'Tennessee',
      addressPostalCode: '377746323',
      countryCode: 'US',
      emailAddress: '[email protected]',
      phoneNumber: '312-555-1212',
      socialSecurityNumber: '111-22-3333',
      tags: [ 'BAD-ACTOR', 'TROUBLE' ],
      createdAt: '2022-07-01T10:58:46.000Z',
      updatedAt: '2022-07-01T10:58:46.000Z',
      nameMiddle: null,
      addressStreet2: null,
    },
  },
  details: {
    requestId: 'efc22741-5d7e-40e5-92b4-7607e841ee57',
    runtime: 0.41911
  }
}

Redact an Account

You can soft-delete the Accout, and as Persona says:

Permanently deletes personally identifiable information (PII) for an Account and all associated Inquiries, Verifications and Reports. This action cannot be undone.

This endpoint can be used to comply with privacy regulations such as GDPR / CCPA or to enforce data privacy.

Note: An account is still updatable after redaction. If you want to delete data continuously, please reach out to us to help you setup a retention policy.

const resp = await client.account.delete('act_e9ZNggooRhGywARBeRLo2e4Q')

and the result will look something like:

{
  success: true,
  account: {
    type: 'account',
    id: 'act_e9ZNggooRhGywARBeRLo2e4Q',
    attributes: {
      referenceId: '7ab50553-67ee-4b59-9adb-dbce7f37af0a',
      createdAt: '2022-07-01T10:58:46.000Z',
      updatedAt: '2022-07-01T11:06:53.000Z',
      nameFirst: null,
      nameMiddle: null,
      nameLast: null,
      phoneNumber: null,
      emailAddress: null,
      addressStreet1: null,
      addressStreet2: null,
      addressCity: null,
      addressSubdivision: null,
      addressPostalCode: null,
      countryCode: null,
      birthdate: null,
      socialSecurityNumber: null,
      tags: [ 'BAD-ACTOR', 'TROUBLE' ],
    },
  },
  details: {
    requestId: 'e988f99c-efe1-4727-af44-ae00d6e870e0',
    runtime: 0.187149
  }
}

Update an Account

You can update much of an existing Account with:

const resp = await client.account.update('act_e9ZNggooRhGywARBeRLo2e4Q', {
  emailAddress: '[email protected]',
})

and the result will look similar to the results of byId(), above.

Add a Tag

You can add a tag to an existing Account with the simple call:

const resp = await client.account.addTag('act_e9ZNggooRhGywARBeRLo2e4Q', 'bad')

and the result will look similar to the results of byId(), above. The tags are all upper-cased by Persona, and uniqued, again, by Persona, so that you don't have to worry about case or uniqueness in adding tags.

Remove a Tag

You can remove a tag from an existing Account with the simple call:

const resp = await client.account.removeTag('act_e9ZNggooRhGywARBeRLo2e4Q', 'good')

and the result will look similar to the results of byId(), above. The tags are all upper-cased by Persona, and uniqued, again, by Persona, so that you don't have to worry about case or uniqueness in removing tags. Also, there is no penalty for removing a tag that doesn't exist.

Set all Tags

You can set the complete set of tags for an existing Account with the simple call:

const resp = await client.account.setTags('act_e9ZNggooRhGywARBeRLo2e4Q',
 ['bad', 'iffy']
)

and the result will look similar to the results of byId(), above. The tags will all be upper-cased by Persona, and uniqued, again, by Persona, so that you don't have to worry about case or uniqueness in the tags.

Consolidate Accounts

You can consolidate all the assets associated with different Accounts that are really the same identity with one call. Person describes this as:

Consolidates several source Accounts' information into one target Account. Any Inquiry, Verification, Report and Document associated with the source Account will be transferred over to the destination Account. However, the Account's attributes will not be transferred. After consolidation, you can update the destination Account's attributes using the Account update endpoint.

This endpoint can be used to clean up duplicate Accounts.

Note: A source account can only be consolidated once. Afterwards, the source account will be archived.

const resp = await client.account.consolidate(destAcctId,
  [srcAcctId1, srcAcctId2, srcAcctId3]
)

where the first argument is the destination accountId, and the second is an array of accountId values to merge onto the destination. The result will look similar to the results of byId(), above.

Inquiry Calls

As stated in the Persona documentation:

The inquiry represents a single instance of an individual attempting to verify their identity. The primary use of the inquiry endpoints is to fetch submitted information from the flow.

Inquiries are created when the individual begins to verify their identity. Check for the following statuses to determine whether the individual has finished the flow. See Models & Lifecycle for a detailed overview of how an individual verifies their identity.

List all Inquiries

You can get a list of all Inquiries at Persona with no arguments:

const resp = await client.inquiry.list()

and the result will look something like:

{
  success: true,
  inquiries: [
    {
      type: 'inquiry',
      id: 'inq_i8EnS9TdG2NqZcXbEQcaPSo9',
      attributes: [Object],
      relationships: [Object]
    },
    {
      type: 'inquiry',
      id: 'inq_y8Bqa4JpKFtxdWGkgEEdRtcC',
      attributes: [Object],
      relationships: [Object]
    },
    {
      type: 'inquiry',
      id: 'inq_QsYJm8yq8yjKdHqyAwKBFb64',
      attributes: [Object],
      relationships: [Object]
    },
    {
      type: 'inquiry',
      id: 'inq_2dB7wPwdUJYmf3ytKaxoXZRF',
      attributes: [Object],
      relationships: [Object]
    },
    ...
  ],
  details: {
    requestId: '86f6aed9-c170-44dd-963d-4cb870fcad66',
    runtime: 0.225322
  }
}

where the [Object] value of the attributes keys will look something like:

{
  status: 'completed',
  referenceId: '7f2ca97f-a110-4f2d-b00e-0d648857db69',
  note: null,
  behaviors: [Object],
  tags: [],
  creator: 'API',
  reviewerComment: null,
  createdAt: '2022-07-01T10:36:59.000Z',
  startedAt: '2022-07-01T10:36:59.000Z',
  completedAt: '2022-07-01T10:37:00.000Z',
  failedAt: null,
  decisionedAt: null,
  expiredAt: null,
  redactedAt: null,
  previousStepName: null,
  nextStepName: null,
  nameFirst: 'Tralisha',
  nameMiddle: null,
  nameLast: 'Fenton',
  birthdate: '1998-01-11',
  addressStreet1: '327 Briarbend Rd',
  addressStreet2: null,
  addressCity: 'Goose Creek',
  addressSubdivision: 'South Carolina',
  addressSubdivisionAbbr: 'SC',
  addressPostalCode: '294457778',
  addressPostalCodeAbbr: '29445',
  socialSecurityNumber: '111-22-3333',
  emailAddress: '[email protected]',
  phoneNumber: '903-991-3776',
  fields: [Object],
}

and the [Object] value of the relationships will look something like:

{
  account: { data: { type: 'account', id: 'act_wUWs7RWHpvWy9gnw4uqqnS3B' } },
  template: { data: { type: 'template', id: 'tmpl_PPDFW92MxhJLomjh4gC2tb5x' } },
  inquiryTemplate: { data: null },
  inquiryTemplateVersion: { data: null },
  reviewer: { data: null },
  reports: { data: [] },
  verifications: { data: [] },
  sessions: { data: [ [Object] ] },
  documents: { data: [] },
  selfies: { data: [] }
}

There are several optional parameters to many of the Persona calls, and they are all included in the call in this format:

const resp = await client.inquiry.list({
  size: 20,
})

and for this call, the options are:

  • beforeId - the id of the Inquiry that will be the terminal inquiry for the list
  • afterId - the id of the Inquiry that won't appear on the list, and is often the last id from the previous paging fetch of the list.
  • size - the number of elements to return
  • filterRefId - the referenceId to filter based on that value being supplied by the user when the Inquiry was created.
  • filterAcctId - the accountId to filter based on the Account id used as the basis of this Inquiry.

Retrieve an Inquiry

You can get a specific Inquiry at Person with just the inquiryId:

const resp = await client.inquiry.byId('inq_hckCfzvWeT3YEkkmVGzAuxKn')

and the result will look something like:

{
  success: true,
  inquiry: {
    type: 'inquiry',
    id: 'inq_hckCfzvWeT3YEkkmVGzAuxKn',
    attributes: {
      status: 'expired',
      referenceId: null,
      note: null,
      behaviors: {
        requestSpoofAttempts: null,
        userAgentSpoofAttempts: null,
        distractionEvents: null,
        hesitationBaseline: null,
        hesitationCount: null,
        hesitationTime: null,
        shortcutCopies: null,
        shortcutPastes: null,
        autofillCancels: null,
        autofillStarts: null,
        devtoolsOpen: null,
        completionTime: null,
        hesitationPercentage: null,
        behaviorThreatLevel: null
      },
      tags: [],
      creator: '[email protected]',
      reviewerComment: null,
      createdAt: '2022-06-28T20:54:14.000Z',
      startedAt: null,
      completedAt: null,
      failedAt: null,
      decisionedAt: null,
      expiredAt: '2022-06-29T20:54:31.000Z',
      redactedAt: null,
      previousStepName: null,
      nextStepName: null,
      nameFirst: null,
      nameMiddle: null,
      nameLast: null,
      birthdate: null,
      addressStreet1: null,
      addressStreet2: null,
      addressCity: null,
      addressSubdivision: null,
      addressSubdivisionAbbr: null,
      addressPostalCode: null,
      addressPostalCodeAbbr: null,
      socialSecurityNumber: null,
      emailAddress: null,
      phoneNumber: null,
      fields: {
        birthdate: [Object],
        nameLast: [Object],
        nameFirst: [Object],
        nameMiddle: [Object],
        addressCity: [Object],
        phoneNumber: [Object],
        emailAddress: [Object],
        addressStreet1: [Object],
        addressStreet2: [Object],
        addressPostalCode: [Object],
        addressSubdivision: [Object],
        addressCountryCode: [Object],
        socialSecurityNumber: [Object]
      },
    },
    relationships: {
      account: { data: { type: 'account', id: 'act_wUWs7RWHpvWy9gnw4uqqnS3B' } },
      template: { data: { type: 'template', id: 'tmpl_PPDFW92MxhJLomjh4gC2tb5x' } },
      inquiryTemplate: { data: null },
      inquiryTemplateVersion: { data: null },
      reviewer: { data: null },
      reports: { data: [] },
      verifications: { data: [] },
      sessions: { data: [ [Object] ] },
      documents: { data: [] },
      selfies: { data: [] }
    }
  },
  details: {
    requestId: '4b1e7bcd-be12-4fe8-af6b-dc41e8b230ae',
    runtime: 0.09918
  }
}

Print Inquiry PDF

You can get a PDF bytestream of an Inquiry by it's inquiryId:

const resp = await client.inquiry.print('inq_hckCfzvWeT3YEkkmVGzAuxKn')

and the result will look something like:

{
  success: true,
  inquiry: {
    id: 'inq_hckCfzvWeT3YEkkmVGzAuxKn',
    body: Gunzip {
      _writeState: [Uint32Array],
      _readableState: [ReadableState],
      _events: [Object: null prototype],
      _eventsCount: 4,
      _maxListeners: undefined,
      _writableState: [WritableState],
      allowHalfOpen: true,
      bytesWritten: 217026,
      _handle: null,
      _outBuffer: <Buffer 20 0a 30 30 30 30 32 32 38 39 30 38 20 30 30
       30 30 30 20 6e 20 0a 30 30 30 30 32 32 39 35 36 36 20 30 30 30
       30 30 20 6e 20 0a 30 30 30 30 32 32 39 36 ... 16334 more bytes>,
      _outOffset: 911,
      _chunkSize: 16384,
      _defaultFlushFlag: 2,
      _finishFlushFlag: 2,
      _defaultFullFlushFlag: 3,
      _info: undefined,
      _maxOutputLength: 4294967296,
      _level: -1,
      _strategy: 0,
      [Symbol(kCapture)]: false,
      [Symbol(kCallback)]: null,
      [Symbol(kError)]: null
    }
  }
}

Create an Inquiry

You can create an Inquiry with:

const resp = await client.inquiry.create({
  templateId: 'tmpl_PP...',
  referenceId: '5f81c440-088a-4d71-8980-cdd2565abc8f'
})

and the result will look something very similar to the output of the byId() function.

Update an Inquiry

You can update the data for an Inquiry:

const resp = await client.inquiry.update(inquiryId, {
  reviewerComment: 'looking good',
})

We need to do additional testing on the output of this call, but it should work... but is, as yet, untested.

Resume an Inquiry

You can resume an Inquiry in it's workflow, in the word of the Persona docs:

Resumes an existing inquiry. If the inquiry is in a pending state, you must also specify a session token generated from this endpoint.

const resp = await client.inquiry.resume(inquiryId)

We need to do additional testing on the output of this call, but it should work... but is, as yet, untested.

Approve an Inquiry

You can approve an Inquiry manually with:

const resp = await client.inquiry.approve(inquiryId)

We need to do additional testing on the output of this call, but it should work... but is, as yet, untested.

Decline an Inquiry

You can decline an Inquiry manually with:

const resp = await client.inquiry.decline(inquiryId)

We need to do additional testing on the output of this call, but it should work... but is, as yet, untested.

Redact an Inquiry

You can soft-delete an Inquiry by redacting all the PII on it, in the words of the Person docs:

Permanently deletes personally identifiable information (PII) for an Inquiry and all associated Verifications and Reports. This action cannot be undone.

This endpoint can be used to comply with privacy regulations such as GDPR / CCPA or to enforce data privacy.

const resp = await client.inquiry.delete(inquiryId)

We need to do additional testing on the output of this call, but it should work... but is, as yet, untested.

Add a Tab

You can add a tag to an existing Inquiry with the simple call:

const resp = await client.inquiry.addTag('inq_2rs9qsQ1D5GJgmeMK7ktnzo1', 'bad')

and the result will look similar to the results of byId(), above. The tags are all upper-cased by Persona, and uniqued, again, by Persona, so that you don't have to worry about case or uniqueness in adding tags.

Remove a Tag

You can remove a tag from an existing Inquiry with the simple call:

const resp = await client.inquiry.removeTag('inq_2rs9qsQ1D5GJgmeMK7ktnzo1', 'good')

and the result will look similar to the results of byId(), above. The tags are all upper-cased by Persona, and uniqued, again, by Persona, so that you don't have to worry about case or uniqueness in removing tags. Also, there is no penalty for removing a tag that doesn't exist.

Set all Tags

You can set the complete set of tags for an existing Inquiry with the simple call:

const resp = await client.inquiry.setTags('inq_2rs9qsQ1D5GJgmeMK7ktnzo1',
 ['bad', 'iffy']
)

and the result will look similar to the results of byId(), above. The tags will all be upper-cased by Persona, and uniqued, again, by Persona, so that you don't have to worry about case or uniqueness in the tags.

Verification Calls

As stated in the Persona documentation:

A verification represents one of multiple checks done by an individual. An inquiry contains one or more verifications. The attributes available for any given verification depends on its type. Each inquiry’s relationships field lists the IDs of all associated verifications. To authenticate when fetching photo URLs, pass the same Authorization header.

Verifications change statuses as the individual progresses through the flow. Check for the following statuses to monitor progress and find completed results.

Retrieve a Verification

You can retrieve a Verification with simply the verificationId:

const resp = await client.verification.byId('ver_6JxUgEi2GyMMXQ1vZUFYSGWS')

and the result will look something like:

{
  success: true,
  verification: {
    type: 'verification/database',
    id: 'ver_JpPzxVnDz9P9tWs7UagHj7Gh',
    attributes: {
      status: 'submitted',
      createdAt: '2022-07-06T09:03:46.000Z',
      createdAtTs: 1657098226,
      submittedAt: '2022-07-06T09:03:47.000Z',
      submittedAtTs: 1657098227,
      completedAt: null,
      completedAtTs: null,
      countryCode: 'US',
      nameFirst: 'Tralisha',
      nameMiddle: null,
      nameLast: 'Fenton',
      addressStreet1: '327 Briarbend Rd',
      addressStreet2: null,
      addressCity: 'Goose Creek',
      addressSubdivision: 'SC',
      addressPostalCode: '29445-7778',
      birthdate: '1998-01-11',
      phoneNumber: '903-991-3776',
      emailAddress: '[email protected]',
      checks: []
    },
    relationships: { inquiry: [Object] }
  },
  details: {
    requestId: '6f0be052-502a-4e5c-8818-8df961128521',
    runtime: 0.057535
  }
}

Print Verification PDF

You can get a PDF print-out of a Verification with:

const resp = await client.verification.print('ver_6JxUgEi2GyMMXQ1vZUFYSGWS')

and the result will look something like:

{
  success: true,
  verification: {
    id: 'ver_6JxUgEi2GyMMXQ1vZUFYSGWS',
    body: Gunzip {
      _writeState: [Uint32Array],
      _readableState: [ReadableState],
      _events: [Object: null prototype],
      _eventsCount: 4,
      _maxListeners: undefined,
      _writableState: [WritableState],
      allowHalfOpen: true,
      bytesWritten: 217026,
      _handle: null,
      _outBuffer: <Buffer 20 0a 30 30 30 30 32 32 38 39 30 38 20 30 30
       30 30 30 20 6e 20 0a 30 30 30 30 32 32 39 35 36 36 20 30 30 30
       30 30 20 6e 20 0a 30 30 30 30 32 32 39 36 ... 16334 more bytes>,
      _outOffset: 911,
      _chunkSize: 16384,
      _defaultFlushFlag: 2,
      _finishFlushFlag: 2,
      _defaultFullFlushFlag: 3,
      _info: undefined,
      _maxOutputLength: 4294967296,
      _level: -1,
      _strategy: 0,
      [Symbol(kCapture)]: false,
      [Symbol(kCallback)]: null,
      [Symbol(kError)]: null
    }
  }
}

Database Verification Calls

A subset of the Verification system is a simple Database Verification where the static data for an identity is sent to Person, and it runs through a series of databases looking to see if it matches a bad actor.

Retrieve Database Verification

You can retrieve a Database Verification with simply the verificationId:

const resp = await client.verification.database.byId(verificationId)

and the result will look very much like the response from byId() for a general Verification.

Create a Database Verification

You can create a Database Verification simply:

const resp = await client.verification.database.create({
  inquiryId,
  nameFirst: 'James',
  nameLast: 'Woods',
  addressStreet1: '327 Briarbend Ave',
  addressCity: 'Goose Creek',
  addressSubdivision: 'SC',
  addressPostalCode: '29445',
  identificationNumber: '111-22-3333',
  birthdate: '1998-01-11',
  phoneNumber: '312-555-1212',
  emailAddress: '[email protected]',
  countryCode: 'US',
})

and the result will look very much like the response from byId() for a general Verification.

Submit a Database Verification

Once created, a Database Verification must be submitted to be processed, and that is done simply with:

const resp = await client.verification.database.submit(verificationId)

and the result will look very much like the response from byId() for a general Verification, but the status in the data will likely have changed from created to submitted. It will then be on the caller to either waut for the webhook messaging of the completion of the Verification, or to use the byId() function to poll Persona until the status changes to a terminal condition.

Synchronously Run a Database Verification

Because it's a simple process, it makes sense to have a synchronous way to create, submit, and monitor a Database Verification so that you can do this "while waiting". This can be done with the code in the client:

const resp = await client.verification.database.run({
  inquiryId,
  nameFirst: 'James',
  nameLast: 'Woods',
  addressStreet1: '327 Briarbend Ave',
  addressCity: 'Goose Creek',
  addressSubdivision: 'SC',
  addressPostalCode: '29445',
  identificationNumber: '111-22-3333',
  birthdate: '1998-01-11',
  phoneNumber: '312-555-1212',
  emailAddress: '[email protected]',
  countryCode: 'US',
})

where the inputs are the same as the create() function, and the result will look very much like the response from byId() for a general Verification, but the status will be a terminal case.

The one addition is the stage attribute of the output. This will go through the four stages of processing:

  • create - if there was an error in the create() call, this will be in the output, along with the error(s).
  • submit - the there wa an error in the submit() call, this will be in the output, along with the error(s)
  • complete - if the verification completes, then this will be in the output and the status in the verification should be read for a final disposition.
  • processing - if, after 30 sec, nothing has changed, then this will be returned in the output, along with the latest data from byId().

The idea is that the errors are tagged with the call they occurred on, and that will help the caller know what happened, when.

Database TIN Verification Calls

A subset of the Verification system is a Database TIN (Tax Id Number) Verification where the Company Name and Tax ID, or EIN, is sent, and Persona checks to see if indeed the Copmany Name matches the TIN, or EIN. This is not a look-up of one for another - but a Verification that the pair matches.

Retrieve Database TIN Verification

You can retrieve a Database TIN Verification with simply the verificationId:

const resp = await client.verification.tin.byId(verificationId)

and the result will look like:

{
  success: true,
  verification: {
    type: 'verification/database-tin',
    id: 'ver_kVJEwKg2BsSGu81G78nTVdtA',
    attributes: {
      status: 'passed',
      createdAt: '2022-07-08T19:18:37.000Z',
      createdAtTs: 1657307917,
      submittedAt: '2022-07-08T19:18:37.000Z',
      submittedAtTs: 1657307917,
      completedAt: '2022-07-08T19:18:37.000Z',
      completedAtTs: 1657307917,
      countryCode: 'US',
      tin: '411234567',
      tinType: 'ssn',
      nameFirst: null,
      nameLast: null,
      checks: [Array]
    },
    relationships: { inquiry: [Object] }
  },
  details: {
    requestId: 'b9553a39-fcc8-498c-9ef9-c0f4a69038aa',
    runtime: 0.112685
  },
  stage: 'complete'
}

which is similar in many ways to the Identity Verification, but with different information about the Company and not the person.

Create a Database TIN Verification

You can create a Database TIN Verification simply:

const resp = await client.verification.tin.create({
  nameBusiness: 'Microsoft Corp',
  tin: '91-1144442',
  verificationTemplateId: 'vtmpl_abcedfg...',
  countryCode: 'US',
})

and the result will look very much like the response from byId() for a general Verification.

Submit a Database TIN Verification

Once created, a Database TIN Verification must be submitted to be processed, and that is done simply with:

const resp = await client.verification.tin.submit(verificationId)

and the result will look very much like the response from byId() for a general Verification, but the status in the data will likely have changed from created to submitted. It will then be on the caller to either waut for the webhook messaging of the completion of the Verification, or to use the byId() function to poll Persona until the status changes to a terminal condition.

Synchronously Run a Database TIN Verification

Because it's a simple process, it makes sense to have a synchronous way to create, submit, and monitor a Database TIN Verification so that you can do this "while waiting". This can be done with the code in the client:

const resp = await client.verification.tin.run({
  nameBusiness: 'Microsoft Corp',
  tin: '91-1144442',
  verificationTemplateId: 'vtmpl_abcedfg...',
  countryCode: 'US',
})

where the inputs are the same as the create() function, and the result will look very much like the response from byId() for a general Verification, but the status will be a terminal case.

The one addition is the stage attribute of the output. This will go through the four stages of processing:

  • create - if there was an error in the create() call, this will be in the output, along with the error(s).
  • submit - the there wa an error in the submit() call, this will be in the output, along with the error(s)
  • complete - if the verification completes, then this will be in the output and the status in the verification should be read for a final disposition.
  • processing - if, after 30 sec, nothing has changed, then this will be returned in the output, along with the latest data from byId().

The idea is that the errors are tagged with the call they occurred on, and that will help the caller know what happened, when.

Development

For those interested in working on the library, there are a few things that will make that job a little simpler. The organization of the code is all in src/, with one module per section of the Client: account, inquiry, etc. This makes location of the function very easy.

Additionally, the main communication with the Persona service is in the src/index.ts module in the fire() function. In the constructor for the Client, each of the sections are created, and then they link back to the main class for their communication work.

Setup

In order to work with the code, the development dependencies include dotenv so that each user can create a .env file with a single value for working with Persona:

  • PERSONA_API_KEY - this is the Persona-generated "API key" from the Persona API Keys page.

Testing

There are several test scripts that test, and validate, information on the Persona service exercising different parts of the API. Each is self-contained, and can be run with:

$ npm run ts tests/verification.ts

creating new Inquiry based off Database Template...
Success! we have created the new Inquiry inq_Cw4YUBJQDwSmasqN3ZVYpGri
running Database Verification for Inquiry inq_Cw4YUBJQDwSmasqN3ZVYpGri...
TWO {
  success: true,
  verification: {
    type: 'verification/database',
    id: 'ver_XmdrvsgCSSXfiSLpbL42Zywg',
    attributes: {
      status: 'passed',
      createdAt: '2022-06-30T16:25:26.000Z',
      createdAtTs: 1656606326,
      submittedAt: '2022-06-30T16:25:27.000Z',
      submittedAtTs: 1656606327,
      completedAt: '2022-06-30T16:25:27.000Z',
      completedAtTs: 1656606327,
      countryCode: 'US',
      nameFirst: 'Tralisha',
      nameMiddle: null,
      nameLast: 'Fenton',
      addressStreet1: '327 Briarbend Rd',
      addressStreet2: null,
      addressCity: 'Goose Creek',
      addressSubdivision: 'SC',
      addressPostalCode: '29445-7778',
      birthdate: '1998-01-11',
      phoneNumber: '903-991-3776',
      emailAddress: '[email protected]',
      checks: [ [Object], [Object], [Object], [Object], [Object], [Object] ],
    },
    relationships: { inquiry: [Object] }
  },
  details: {
    requestId: 'e578d72c-7b96-4be5-b078-c41564f994a1',
    runtime: 0.114366
  },
  stage: 'complete'
}
Success! created the Database Verification ver_XmdrvsgCSSXfiSLpbL42Zywg

Each of the tests will run a series of calls through the Client, and check the results to see that the operation succeeded. As shown, if the steps all report back with Success! then things are working.

If there is an issue with one of the calls, then an Error! will be printed out, and the data returned from the client will be dumped to the console.