API Monetization

api monetization with amberflo with the rise of data as a service and the growing trend of exposing apis as commercial products, many companies are unlocking new revenue streams by offering their apis to developers and partners as this model gains traction, api monetization becomes essential amberflo makes it easy to track api usage, apply usage based pricing, and deliver billing in a fair, transparent, and customer friendly way step 1 instrument your api for usage tracking in this example, we’ll track usage for a sample api called awesomeintegrationapi, which processes records through integration jobs 1\ create a meter name apicalls event type count 2\ instrument your code update your api to send meter records for number of records processed number of api calls received per job each record must include customerid metertimeinmillis (event timestamp in epoch time milliseconds) 3\ use the amberflo sdk the most efficient way to integrate metering is through an amberflo sdk select the sdk for your preferred language and place it where events are generated example and code samples are available in the amberflo python sdk for a complete example, refer to the screenshots below or explore our https //docs amberflo io/recipes/python sdk \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) message = create customer payload( customer id="customer 123", customer name="customer 123", \# email is optional customer email="customer 123\@example com", \# traits are optional they can be used as filters or aggregation buckets traits={ "region" "us east 1", }, ) customer = customer api add or update(message) \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) message = create customer payload( customer id="customer 123", customer name="customer 123", \# email is optional customer email="customer 123\@example com", \# traits are optional they can be used as filters or aggregation buckets traits={ "region" "us east 1", }, ) customer = customer api add or update(message) \# set up ingest api client and ingest a meter from time import time from metering ingest import create ingest client ingest api = create ingest client(api key=api key) \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) message = create customer payload( customer id="customer 123", customer name="customer 123", \# email is optional customer email="customer 123\@example com", \# traits are optional they can be used as filters or aggregation buckets traits={ "region" "us east 1", }, ) customer = customer api add or update(message) \# set up ingest api client and ingest a meter from time import time from metering ingest import create ingest client ingest api = create ingest client(api key=api key) ingest api meter( meter api name="api calls", meter value=1, meter time in millis=int(time() 1000), customer id=customer\["customerid"], ) \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) message = create customer payload( customer id="customer 123", customer name="customer 123", \# email is optional customer email="customer 123\@example com", \# traits are optional they can be used as filters or aggregation buckets traits={ "region" "us east 1", }, ) customer = customer api add or update(message) \# set up ingest api client and ingest a meter from time import time from metering ingest import create ingest client ingest api = create ingest client(api key=api key) ingest api meter( meter api name="api calls", meter value=1, meter time in millis=int(time() 1000), customer id=customer\["customerid"], ) \# shut down ingest api client ingest api shutdown() \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) message = create customer payload( customer id="customer 123", customer name="customer 123", \# email is optional customer email="customer 123\@example com", \# traits are optional they can be used as filters or aggregation buckets traits={ "region" "us east 1", }, ) customer = customer api add or update(message) \# set up ingest api client and ingest a meter from time import time from metering ingest import create ingest client ingest api = create ingest client(api key=api key) ingest api meter( meter api name="api calls", meter value=1, meter time in millis=int(time() 1000), customer id=customer\["customerid"], ) \# shut down ingest api client ingest api shutdown() \# setup usage api client and get a usage report from metering usage import (aggregationtype, take, timegroupinginterval, timerange, usageapiclient, create usage query) usage api = usageapiclient(os environ get("api key")) \# set up virtual environment and install sdk \# \# $ python3 m virtualenv venv \# $ venv/bin/activate \# $ pip install amberflo metering python import os \# sign up for free at https //ui amberflo io/ to get an api key api key = os environ\["amberflo api key"] \# set up customer api client and create a customer from metering customer import customerapiclient, create customer payload customer api = customerapiclient(os environ get("api key")) message = create customer payload( customer id="customer 123", customer name="customer 123", \# email is optional customer email="customer 123\@example com", \# traits are optional they can be used as filters or aggregation buckets traits={ "region" "us east 1", }, ) customer = customer api add or update(message) \# set up ingest api client and ingest a meter from time import time from metering ingest import create ingest client ingest api = create ingest client(api key=api key) ingest api meter( meter api name="api calls", meter value=1, meter time in millis=int(time() 1000), customer id=customer\["customerid"], ) \# shut down ingest api client ingest api shutdown() \# setup usage api client and get a usage report from metering usage import (aggregationtype, take, timegroupinginterval, timerange, usageapiclient, create usage query) usage api = usageapiclient(os environ get("api key")) since two days ago = timerange(int(time()) 60 60 24 2) query = create usage query( meter api name="api calls", aggregation=aggregationtype sum, time grouping interval=timegroupinginterval day, time range=since two days ago, group by=\["customerid"], usage filter={"customerid" \["customer 123"]}, take=take(limit=10, is ascending=false), ) report = usage api get(query) step 2 view and share real time usage amberflo allows you to view detailed usage data per customer in real time you can expose this data to customers in two ways use the amberflo customer portal , hosted by amberflo embed ui components directly into your own application using our react based portal components this transparency improves customer trust and supports self service billing review an example of the customer portal view step 3 build a usage based pricing plan now that usage is being metered, you can monetize it by creating a pricing plan 1\ create a pricing plan name the plan (e g awesomeintegrationapi) 2\ choose a rate model amberflo supports multiple rate models (per unit, block, volume, tiered, etc ) in this example, choose block pricing rate $5 per 1,000 api calls free tier 5,000 api calls per month customers are only charged starting with the 5,001st call 3\ activate the plan enable the plan using the toggle in the plan view assign the plan to customers manually or automatically during sign up using your preferred workflow once assigned, amberflo will begin tracking usage and generating a real time metered invoice that stays continuously updated throughout the billing period