Mock sample for your project: Prime ReportStream API

Integrate with "Prime ReportStream API" from cdcgov.local in no time with Mockoon's ready to use mock sample

Prime ReportStream

cdcgov.local

Version: 0.2.0-oas3


Use this API in your project

Integrate third-party APIs faster by using "Prime ReportStream API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
Improve your integration tests by mocking third-party APIs and cover more edge cases: slow response time, random failures, etc.

Description

A router of public health data from multiple senders and receivers

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Lumminary API

lumminary.com
Introduction
The Lumminary API was built to allow third parties to interact with Lumminary customers and gain access to their genetic data. The Lumminary API is fast, scalable and highly secure. All requests to the Lumminary API take place over SSL, which means all communication of Customer data is encrypted.
Before we dive in, some definitions. This is what we mean by:
|Term|Definition|
|-----------|-----------|
|Third party|A third party (also referred to as "partner" or as "you") is a company which offers services and products using genetic data.|
|Lumminary clients|The Lumminary client (also referred to as "customer") is an individual who has created an account on the Lumminary platform.|
|Lumminary|This is us - our services including the Lumminary platform, the API, the DNA App Store, the DNA Vault, the "Connect with Lumminary" button, and the website in its totality. |
|CWL|This is the acronym for the "Connect with Lumminary" button.|
|dataset|This is the term we use when we refer to a customer's genetic data.|
|Lumminary API|This is a library/module that you can use to integrate your apps with the Lumminary platform.|
|Lumminary toolkit|This is a stand alone application which helps you integrate with Lumminary without writing any code or interacting with the Lumminary API.|
Let's dive in, now.
Overview
Install Lumminary API Client and Toolkit
Obtaining credentials
Query customers authorizations
Query customer genetic data
Submit reports
"Connect with Lumminary" button
API specs
Overview
In order to use Lumminary services, you'll need to install the Lumminary API Client or Toolkit. The Lumminary API Client and Toolkit are available in multiple programming languages, and we also provide a sandbox environment which you can use for integration and tests.
There are a couple of differences between the API Client and the Toolkit. Mainly, it's about the ease of use for integration. The Toolkit is basically a stand-alone application that facilitates the integration with the Lumminary API without the need to modify your already existing code.
You use the Lumminary API Client when you want to integrate it inside your own application. This means it gives you full flexibility regarding the integration into your own workflow.
You use the Lumminary Toolkit for an integration where the Toolkit is placed alongside your own application. You can use the Toolkit from the CLI - for example, to run a cronjob that processes incoming orders. The Toolkit uses the Lumminary API Client.
Install Lumminary API Client and/or Toolkit
We provide the Lumminary API Client and Toolkit in multiple programming languages - default are PHP (minimum version 7.0), Python2.7 and Python3. However, if you need them in another language (Java, Obj-C, JavaScript, C#, Perl, CURL), please contact us.
How to install the Lumminary API Client
PHP example:
The PHP Lumminary API Client is available at: https://github.com/Lumminary/lumminary-api-client-php
If you are already using Composer, you can import the project by adding the following to your composer.json
| Error Id | Error Message |
|:-----------------:|:---------------------------------------------------------------------------------------------|
| 1 | Invalid Security Token |
| 2 | Invalid Access Scopes |
| 3 | Customer refuses your request (this happens when the customer cancels instead of granting access) |

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CROssBAR Data API

ebi.ac.uk
About CROssBAR & data
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
CROssBAR is a comprehensive system that integrates large-scale biomedical data from various resources e.g UniProt, ChEMBL, Drugbank, EFO, HPO, InterPro & PubChem and stores them in a new NoSQL database, enrich these data with deep learning based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to the user via easy to interpret, interactive and heterogeneous knowledge graphs.
CROssBAR platform exposes a set of 12 endpoints to query data stored in the CROssBAR database. These endpoints help the user to find data of interest using different parameters provided by the API endpoint.
For example,
https://www.ebi.ac.uk/tools/crossbar/proteins?accession=A0A023GRW5 -> will provide protein information about accession 'A0A023GRW5' including its interactions, functions, cross-references, variations and more.
https://www.ebi.ac.uk/tools/crossbar/activities?moleculeChemblId=CHEMBL465983 -> will provide ChEMBL bio-interactions related information including targets and bio-activity measurements associated with molecule chembl id 'CHEMBL465983'
Knowledge graphs
Another use case of CROssBAR's API endpoints is in building knowledge graphs. These endpoints can be weaved together (output from one API endpoint fed as input to another API endpoint) programmatically to link nodes like protein, disease, drugs etc. as nodes of the graph. The endpoints are designed to be independent from each other which allows users the flexibility to drive biological networks from any facet e.g drug-centric, disease-centric, gene-centric etc. Our service for knowledge graph construction is available at https://crossbar.kansil.org.
An example for the part of the background queries on the CROssBAR API during the construction of a knowledge graph,
(with the aim of keeping the example simple, we have only included the processes related to pathways, genes/proteins and drugs/compounds)
In this example, we would like to find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome pathway annotations).
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome annotations)
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Get all proteins from “/proteins” API endpoint which have a reactome pathway name equal to "WNT ligand biogenesis and trafficking".
From the collection of uniprot protein accessions collected from step 1 above, we query “/targets” API endpoint to obtain the ‘targetchemblid’s of these proteins.
From the collection of targetchemblids collected from step 2 above, we query “/activities” API endpoint with pChEMBL value >=6, to obtain the ’moleculechemblid’s of the molecules that we need.
From the collection of uniprot protein accessions collected from step 1 above, we find out Drug names and ids from the “/drugs” API endpoint that targets our proteins.
From the collection of ’moleculechemblid’s obtained in step3, we query “/molecules” endpoint to get the compounds that are interacting with the genes/proteins belonging to the “WNT ligand biogenesis and trafficking” pathway.

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apisetu.gov.in
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