Dataspike python client library

The official wrapper for Dataspike API

DataSpike KYC and AML API library is a powerful tool that allows developers to integrate KYC (Know Your Customer) and AML (Anti-Money Laundering) functionalities into their applications seamlessly. This library provides a simple and efficient way to perform identity verification, compliance checks, and risk assessment for individuals and businesses.

Support

If you encounter any issues or have any questions, feel free to reach out to our team at dev@dataspike.io. We're here to help!

Contributing

We welcome contributions from the community. If you have any improvements or bug fixes, please submit a pull request. For major changes, please open an issue first to discuss the proposed changes.

Installation

pip install dataspike

Getting started

Library offers well typed async API powered by pydantic and aiohttp.

from dataspike import *

async with Api("<YOUR_API_TOKEN>") as api:
    verification = await api.verification.create()
    await api.document.upload(verification.applicant_id, DocumentType.Passport, open('passport.jpg', 'rb'))
    await api.document.upload(verification.applicant_id, DocumentType.Selfie, open('selfie.jpg', 'rb'))
    await api.verification.proceed(verification.id)
    applicants = await api.applicant.list()
    verifications = await api.verification.list()

Resources

Full reference and documentation about available resources can be found at our official documentation

Currently library provides following resources

• AML api.aml
• Applicant api.applicant
• Verification api.verification
• SDK api.sdk
• Documents api.document

Timeouts

Library uses aiohttp ClientSession. To pass timeouts use keyword arguments which will passed to ClientSession constructor

Check out aiohttp client reference for details.

Example

from dataspike import Api
async with Api('<API_TOKEN>', read_timeout=2) as api:
    ...

Errors

• pydantic.ValidationError is raised when type parameters not match with expected for API func.
• asyncio.TimeoutError is raised if a timeout occurs.
• dataspike.errors.UnexpectedResponseStatus is raised whenever dataspike returns unexpected response status.

Sync API wrapper

We recommend use async api directly. But if you really want to use sync api library offers SyncApi wrapper. Take note it build on top of async API and still use asyncio under the hood.

Example

from dataspike import SyncApi
with SyncApi("<API_TOKEN>") as api:
    applicants = api.applicant.list()