Package for Santiment API access with python
Project description
sanpy
Santiment API python client.
Table of contents
- Table of contents
- Installation
- Upgrade to latest version
- Configuration
- Retrieving data from the API
- Available metrics
- All Projects
- ERC20 Projects
- Daily Active Addresses
- Network Growth
- Burn Rate - deprecated, replaced by 'Token Age Consumed'
- Token Age Consumed
- Average Token Age Consumed in Days
- Transaction volume
- Token Velocity
- Token Circulation
- Realized Value
- MVRV Ratio
- NVT Ratio
- Daily Active Deposits
- Github Activity
- Prices
- Open, High, Close, Low Prices, Volume, Marketcap
- Exchange Funds Flow
- Social Volume Projects
- Social Volume
- Share of Deposits
- Gas Used
- Miners Balance
- Mining Pools Distribution
- Historical Balance
- Social Dominance
- Top Holders Percent of Total Supply
- History Twitter Data
- Price Volume Difference
- Ethereum Top Transactions
- Ethereum Spent Over Time
- Token Top Transactions
- Fetch single metric
- Emerging Trends
- Top Social Gainers Losers
- Available metrics
- Running tests
- Running integration tests
Installation
pip install sanpy
Upgrade to latest version
pip install --upgrade sanpy
Premium metrics
In order to access real time data or historical data (older than 3 months), you'll need to set the api key and have some SAN tokens in your account. All premium metrics are free for "santiment" token.
Configuration
Optionally you can provide an api key which gives access to some premium metrics:
import san
san.ApiConfig.api_key = 'api-key-provided-by-sanbase'
To obtain an api key you should log in to sanbase
and go to the account
page - https://app.santiment.net/account.
There is an API Keys
section and a Generate new api key
button.
If the account used for generating the api key has enough SAN tokens, the api key will give you access to the data that requires SAN token staking. The api key can only be used to fetch data and not to execute graphql mutations.
Retrieving data from the API
The data is fetched by providing a string in the format query/slug
and additional parameters.
query
: Available queries can be found in section: Available metricsslug
: A list of projects with their slugs, names, etc. can be fetched like this:
import san
san.get("projects/all")
name slug ticker totalSupply
0 0chain 0chain ZCN 400000000
1 0x 0x ZRX 1000000000
2 0xBitcoin 0xbtc 0xBTC 20999984
...
Parameters:
from_date
,to_date
- A date or datetime in iso8601 format specifying the start and end datetime for the returned data for ex:2018-06-01
interval
- The interval of the returned data - an integer followed by one of:s
,m
,h
,d
orw
Default values for parameters:
from_date
:datetime.now() - 365 days
to_date
:datetime.now()
interval
:'1d'
The returned value for time-series data is in pandas DataFrame
format indexed by datetime
.
Fetch single metric
import san
san.get(
"daily_active_addresses/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
san.get(
"prices/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Using the defaults params:
san.get("daily_active_addresses/santiment")
san.get("prices/santiment")
Batching multiple queries
from san import Batch
batch = Batch()
batch.get(
"daily_active_addresses/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
batch.get(
"daily_active_addresses/santiment",
from_date="2018-06-06",
to_date="2018-06-10",
interval="1d"
)
[daa1, daa2] = batch.execute()
Available metrics
Getting all of the metrics as a list is done, using the following code:
san.available_metrics()
Below are described some available metrics and are given examples for fetching and for the returned format.
All Projects
Returns a DataFrame with all the projects available in the Santiment API. Not all
metrics will be available for all the projects. The slug
is a unique identifier
which can be used to retrieve most of the metrics.
san.get("projects/all")
Example result:
name slug ticker totalSupply
0 0chain 0chain ZCN 400000000
1 0x 0x ZRX 1000000000
2 0xBitcoin 0xbtc 0xBTC 20999984
3 0xcert Protocol 0xcert ZXC 500000000
4 1World 1world 1WO 37219453
5 AB-Chain RTB ab-chain-rtb RTB 27857813
6 Abulaba abulaba AAA 397000000
7 AC3 ac3 AC3 80235326.0
...
ERC20 Projects
Returns a DataFrame with all the ERC20 projects available in the Santiment API.
Not all metrics will be available for all the projects. The slug
is a unique
identifier which can be used to retrieve most of the metrics.
san.get("projects/erc20")
Example result:
name slug ticker totalSupply
0 0chain 0chain ZCN 400000000
1 0x 0x ZRX 1000000000
2 0xBitcoin 0xbtc 0xBTC 20999984
3 0xcert Protocol 0xcert ZXC 500000000
4 1World 1world 1WO 37219453
5 AB-Chain RTB ab-chain-rtb RTB 27857813
6 Abulaba abulaba AAA 397000000
7 adbank adbank ADB 1000000000
...
Daily Active Addresses
This metric includes the number of unique addresses that participated in the transfers of given token during the day.
san.get(
"daily_active_addresses/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
value
datetime
2018-06-01 00:00:00+00:00 2
2018-06-02 00:00:00+00:00 4
2018-06-03 00:00:00+00:00 6
2018-06-04 00:00:00+00:00 6
2018-06-05 00:00:00+00:00 14
Network Growth
Network Growth shows the number of new addresses being created on the project network each day.
san.get(
"network_growth/santiment",
from_date="2018-12-01",
to_date="2018-12-05",
interval="1d"
)
newAddresses
datetime
2018-12-01 00:00:00+00:00 3
2018-12-02 00:00:00+00:00 2
2018-12-03 00:00:00+00:00 6
2018-12-04 00:00:00+00:00 2
2018-12-05 00:00:00+00:00 1
Burn Rate - deprecated, replaced by 'Token Age Consumed'
Each transaction has an equivalent burn rate record. The burn rate is calculated by multiplying the number of tokens moved by the number of blocks in which they appeared. Spikes in burn rate could indicate large transactions or movement of tokens that have been held for a long time.
Burn rate returns the same results as 'Token Age Consumed' and will be removed in the near future.
san.get(
"burn_rate/santiment",
from_date="2018-05-01",
to_date="2018-05-05",
interval="1d"
)
Example result:
burnRate
datetime
2018-05-01 00:00:00+00:00 2.514926e+09
2018-05-02 00:00:00+00:00 1.363158e+10
2018-05-03 00:00:00+00:00 2.182971e+09
2018-05-04 00:00:00+00:00 9.731035e+09
2018-05-05 00:00:00+00:00 2.867054e+10
Token Age Consumed
Each transaction has an equivalent 'Age consumed' record. The consumed age is calculated by multiplying the number of tokens moved by the number of blocks in which they appeared. Spikes in consumed token age could indicate large transactions or movement of tokens that have been held for a long time.
san.get(
"token_age_consumed/santiment",
from_date="2018-05-01",
to_date="2018-05-05",
interval="1d"
)
Example result:
tokenAgeConsumed
datetime
2018-05-01 00:00:00+00:00 2.514926e+09
2018-05-02 00:00:00+00:00 1.363158e+10
2018-05-03 00:00:00+00:00 2.182971e+09
2018-05-04 00:00:00+00:00 9.731035e+09
2018-05-05 00:00:00+00:00 2.867054e+10
Average Token Age Consumed in Days
Based on 'Token Age Consumed' above, this returns the Token Age that gets consumed on average over the interval. The result is given in days instead of blocks.
san.get(
"average_token_age_consumed_in_days/santiment",
from_date="2018-05-01",
to_date="2018-05-05",
interval="1d"
)
Example result:
tokenAge
datetime
2018-05-01 00:00:00+00:00 6.353738
2018-05-02 00:00:00+00:00 22.303985
2018-05-03 00:00:00+00:00 3.873644
2018-05-04 00:00:00+00:00 140.566428
2018-05-05 00:00:00+00:00 56.730010
Transaction Volume
Total amount of tokens for a project that were transacted on the blockchain. This metric includes only on-chain volume, not volume in exchanges.
san.get(
"transaction_volume/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
value
datetime
2018-06-01 00:00:00+00:00 46.848943
2018-06-02 00:00:00+00:00 666.194095
2018-06-03 00:00:00+00:00 31326.856743
2018-06-04 00:00:00+00:00 1371.245641
2018-06-05 00:00:00+00:00 42825.036598
Token Velocity
Token Velocity returns the average number of times that a token changes wallets over the interval. Simply put, a higher token velocity means that the same token is used in transactions more often within a set time frame.
san.get(
"token_velocity/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d")
Example result:
tokenVelocity
datetime
2018-06-01 00:00:00+00:00 1.00
2018-06-02 00:00:00+00:00 3.00
2018-06-03 00:00:00+00:00 1.97
2018-06-04 00:00:00+00:00 1.00
2018-06-05 00:00:00+00:00 2.92
Token Circulation
Token Circulation returns the total amount of tokens that have been sent at least once during each given time period. Minimum interval is '1d'.
san.get(
"token_circulation/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
Example result:
tokenCirculation
datetime
2018-06-01 00:00:00+00:00 46.848943
2018-06-02 00:00:00+00:00 222.194095
2018-06-03 00:00:00+00:00 15933.955221
2018-06-04 00:00:00+00:00 1371.245641
2018-06-05 00:00:00+00:00 14678.249398
Realized Value
Realized Value returns the total acquisition cost of all tokens on the network, based on the historical price when each coin was last sent, in USD. Returns RV for all tokens and RV for all tokens known to be on exchanges.
san.get(
"realized_value/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
nonExchangeRealizedValue realizedValue
datetime
2018-06-01 00:00:00+00:00 2.334917e+07 9.248495e+07
2018-06-02 00:00:00+00:00 2.334917e+07 9.248498e+07
2018-06-03 00:00:00+00:00 2.335106e+07 9.248275e+07
2018-06-04 00:00:00+00:00 2.335138e+07 9.248269e+07
2018-06-05 00:00:00+00:00 2.335073e+07 9.243114e+07
MVRV Ratio
MVRV ratio returns the ratio of the market value of all tokens (market cap) to the realized value of all tokens.
san.get(
"mvrv_ratio/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
ratio
datetime
2018-06-01 00:00:00+00:00 0.836489
2018-06-02 00:00:00+00:00 0.850379
2018-06-03 00:00:00+00:00 0.848195
2018-06-04 00:00:00+00:00 0.822243
2018-06-05 00:00:00+00:00 0.781964
NVT Ratio
NVT ratio returns the Network-Value-to-Transactions ratio. We use the market cap as network value and either token circulation or transaction volume as a measurement for transactions, returning two values.
san.get(
"nvt_ratio/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
nvtRatioCirculation nvtRatioTxVolume
datetime
2018-06-01 00:00:00+00:00 1.337498e+06 1.337498e+06
2018-06-02 00:00:00+00:00 2.820074e+05 9.405723e+04
2018-06-03 00:00:00+00:00 3.868500e+03 2.000213e+03
2018-06-04 00:00:00+00:00 4.569595e+04 4.569595e+04
2018-06-05 00:00:00+00:00 4.268927e+03 1.463171e+03
Daily Active Deposits
Daily Active Deposits, similar to Daily Active Addresses, returns the number of unique addresses that participated in the transfers of tokens to exchange deposit addresses during the day.
san.get(
"daily_active_deposits/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
activeDeposits
datetime
2018-06-01 00:00:00+00:00 0
2018-06-02 00:00:00+00:00 2
2018-06-03 00:00:00+00:00 0
2018-06-04 00:00:00+00:00 2
2018-06-05 00:00:00+00:00 6
Github Activity
Returns a list of github activity for a given slug and time interval.
An article explaining the github activity tracking
san.get(
"github_activity/santiment",
from_date="2018-05-01",
to_date="2018-05-05",
interval="1d"
)
Example result:
activity
datetime
2018-05-02 00:00:00+00:00 32
2018-05-03 00:00:00+00:00 9
2018-05-04 00:00:00+00:00 18
You can also fetch only events connected to development activity by using the devActivity
query.
san.get(
"dev_activity/santiment",
from_date="2018-05-01",
to_date="2018-05-05",
interval="1d"
)
Example result:
activity
datetime
2018-05-02 00:00:00+00:00 29
2018-05-03 00:00:00+00:00 9
2018-05-04 00:00:00+00:00 16
Prices
Fetch history price in USD or BTC, traded volume and marketcap for a given slug.
san.get(
"prices/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
san.get(
"prices/ethereum",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
marketcap priceBtc priceUsd volume
datetime
2018-06-01 00:00:00+00:00 7.736268e+07 0.000165 1.234635 852857
2018-06-02 00:00:00+00:00 7.864724e+07 0.000165 1.255135 1242520
2018-06-03 00:00:00+00:00 7.844339e+07 0.000163 1.251882 1032910
2018-06-04 00:00:00+00:00 7.604326e+07 0.000160 1.213578 617451
marketcap priceBtc priceUsd volume
datetime
2018-06-01 00:00:00+00:00 5.756716e+10 0.077083 576.825315 1945890000
2018-06-02 00:00:00+00:00 5.875660e+10 0.077475 588.620775 1880390000
2018-06-03 00:00:00+00:00 6.097134e+10 0.079460 610.682490 1832550000
2018-06-04 00:00:00+00:00 6.015676e+10 0.079466 602.399792 1903430000
Open, High, Close, Low Prices, Volume, Marketcap
Note: this query cannot be batched!
san.get(
"ohlcv/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
Example result:
openPriceUsd closePriceUsd highPriceUsd lowPriceUsd volume marketcap
datetime
2018-06-01 00:00:00+00:00 1.24380 1.27668 1.26599 1.19099 852857 7.736268e+07
2018-06-02 00:00:00+00:00 1.26136 1.30779 1.27612 1.20958 1242520 7.864724e+07
2018-06-03 00:00:00+00:00 1.28270 1.28357 1.24625 1.21872 1032910 7.844339e+07
2018-06-04 00:00:00+00:00 1.23276 1.24910 1.18528 1.18010 617451 7.604326e+07
Exchange Funds Flow
Fetch the difference between the tokens that were deposited minus the tokens that were withdrawn from an exchange for a given slug in the selected time period.
san.get(
"exchange_funds_flow/santiment",
from_date="2018-04-16T10:02:19Z",
to_date="2018-05-23T10:02:19Z",
interval="1d"
)
Example result:
inOutDifference
datetime
2018-04-16 10:02:19+00:00 -208.797310
2018-04-17 00:00:00+00:00 164.006467
2018-04-18 00:00:00+00:00 0.000000
2018-04-19 00:00:00+00:00 -45213.112849
2018-04-20 00:00:00+00:00 -135364.839572
Social Volume Projects
Fetch a list of slugs for which there is social volume data.
san.get("social_volume_projects")
Example result:
0
0 cardano
1 bitcoin-cash
2 bitcoin
3 dragonchain
4 eos
5 ethereum-classic
6 ethereum
7 kyber-network
8 litecoin
9 iota
10 ontology
11 tron
12 wanchain
13 stellar
14 ripple
15 verge
16 0x
Social Volume
Fetch a list of mentions count for a given project and time interval.
Arguments description:
endpoint
- social_volume/project_sluginterval
- an integer followed by one of:m
,h
,d
,w
from_date
- a string representation of datetime value according to the iso8601 standard, e.g. "2018-04-16T10:02:19Z"to_date
- a string representation of datetime value according to the iso8601 standard, e.g. "2018-05-23T10:02:19Z"social_volume_type
- the source of mention counts, one of the following:- "PROFESSIONAL_TRADERS_CHAT_OVERVIEW" - shows how many times the given project was mentioned in the professional traders chat
- "TELEGRAM_CHATS_OVERVIEW" - shows how many times the given project was mentioned across all telegram chats, except the project's own community chat (if there is one)
- "TELEGRAM_DISCUSSION_OVERVIEW" - the general volume of messages in the project's community chat (if there is one)
- "DISCORD_DISCUSSION_OVERVIEW" - shows how many times the given project has been mentioned in the discord channels
san.get(
"social_volume/dragonchain",
interval="1d",
from_date="2018-04-16T10:02:19Z",
to_date="2018-05-23T10:02:19Z",
social_volume_type="PROFESSIONAL_TRADERS_CHAT_OVERVIEW"
)
Example result:
mentionsCount
datetime
2018-04-17 00:00:00+00:00 4
2018-04-18 00:00:00+00:00 8
2018-04-19 00:00:00+00:00 7
2018-04-20 00:00:00+00:00 1
2018-04-21 00:00:00+00:00 3
2018-04-22 00:00:00+00:00 2
2018-04-23 00:00:00+00:00 1
Topic search
Returns lists with the mentions of the search phrase from the selected source. The results are in two formats - the messages themselves and the data for building graph representation of the result.
Arguments description:
endpoint
- a string in the format "topic_search"source
- one of the following:- TELEGRAM
- PROFESSIONAL_TRADERS_CHAT
- DISCORD
search_text
- a string containing the key words for which the sources should be searched.from_date
- a string representation of datetime value according to the iso8601 standard, e.g. "2018-04-16T10:02:19Z"to_date
- a string representation of datetime value according to the iso8601 standard, e.g. "2018-04-16T10:02:19Z"interval
- an integer followed by one of:m
,h
,d
,w
san.get(
"topic_search",
source="TELEGRAM",
search_text="btc moon",
from_date="2019-08-01T12:00:00Z",
to_date="2019-08-02T12:00:00Z",
interval="6h"
)
Example result:
datetime mentionsCount
2019-08-01 12:00:00+00:00 208
2019-08-01 18:00:00+00:00 265
2019-08-02 00:00:00+00:00 115
2019-08-02 06:00:00+00:00 219
2019-08-02 12:00:00+00:00 358
2019-08-02 18:00:00+00:00 212
2019-08-03 00:00:00+00:00 229
2019-08-03 06:00:00+00:00 225
Share of Deposits
Returns information for the shares of deposits that a given project has during the time interval.
san.get(
"share_of_deposits/santiment",
from_date="2019-01-01T00:00:00Z",
to_date="2019-01-05T00:00:00Z",
interval="1d"
)
Example result:
activeAddresses activeDeposits shareOfDeposits
datetime
2019-01-01 00:00:00+00:00 5 1 20.000000
2019-01-02 00:00:00+00:00 2 0 0.000000
2019-01-03 00:00:00+00:00 13 2 15.384615
2019-01-04 00:00:00+00:00 8 2 25.000000
2019-01-05 00:00:00+00:00 7 1 14.285714
Gas Used
Returns used Gas by a blockchain. When you send tokens, interact with a contract or do anything else on the blockchain, you must pay for that computation. That payment is calculated in Gas. Currently only ETH is supported.
san.get(
"gas_used/ethereum",
from_date="2019-06-01",
to_date="2019-06-05",
interval="1d"
)
Example result:
datetime gasUsed
2019-06-01 00:00:00+00:00 47405557702
2019-06-02 00:00:00+00:00 44769162038
2019-06-03 00:00:00+00:00 46415901420
2019-06-04 00:00:00+00:00 46907686393
2019-06-05 00:00:00+00:00 45925073341
Miners Balance
Returns miner balances over time. Currently only ETH is supported.
san.get(
"miners_balance/ethereum",
from_date="2019-06-01",
to_date="2019-06-05",
interval="1d"
)
Example result:
datetime balance
2019-06-01 00:00:00+00:00 1.529488e+06
2019-06-02 00:00:00+00:00 1.533494e+06
2019-06-03 00:00:00+00:00 1.527438e+06
2019-06-04 00:00:00+00:00 1.525666e+06
2019-06-05 00:00:00+00:00 1.527563e+06
Mining Pools Distribution
Returns distribution of miners between mining pools. What part of the miners are using top3, top10 and all the other pools. Currently only ETH is supported.
san.get(
"mining_pools_distribution/ethereum",
from_date="2019-06-01",
to_date="2019-06-05",
interval="1d"
)
Example result:
datetime other top10 top3
2019-06-01 00:00:00+00:00 0.129237 0.249906 0.620857
2019-06-02 00:00:00+00:00 0.127432 0.251903 0.620666
2019-06-03 00:00:00+00:00 0.122058 0.249603 0.628339
2019-06-04 00:00:00+00:00 0.127726 0.254982 0.617293
2019-06-05 00:00:00+00:00 0.120436 0.265842 0.613722
Historical Balance
Historical balance for erc20 token or eth address. Returns the historical balance for a given address in the given interval.
san.get(
"historical_balance/santiment",
address="0x1f3df0b8390bb8e9e322972c5e75583e87608ec2",
from_date="2019-04-18",
to_date="2019-04-23",
interval="1d"
)
Example result:
datetime balance
2019-04-18 00:00:00+00:00 382338.33
2019-04-19 00:00:00+00:00 382338.33
2019-04-20 00:00:00+00:00 382338.33
2019-04-21 00:00:00+00:00 215664.33
2019-04-22 00:00:00+00:00 215664.33
Social Dominance
Returns the % of the social dominance a given project has over time in a given social channel.
Available sources are:
- PROFESSIONAL_TRADERS_CHAT
- TELEGRAM
- DISCORD
- ALL
san.get(
"social_dominance/santiment",
from_date="2019-04-08",
to_date="2019-04-13",
interval="1d",
source="ALL"
)
Example result:
datetime dominance
2019-04-08 00:00:00+00:00 0.043028
2019-04-09 00:00:00+00:00 0.025337
2019-04-10 00:00:00+00:00 0.045376
2019-04-11 00:00:00+00:00 0.036051
2019-04-12 00:00:00+00:00 0.035585
2019-04-13 00:00:00+00:00 0.034957
Top Holders Percent Of Total Supply
Returns the top holders' percent of total supply - in exchanges, outside exchanges and combined.
san.get(
"top_holders_percent_of_total_supply/ethereum",
number_of_holders=10,
from_date="2019-04-08",
to_date="2019-04-11"
)
Example Result:
datetime inExchanges inTopHoldersTotal outsideExchanges
2019-04-09 00:00:00+00:00 7.977318 13.277961 5.300643
2019-04-10 00:00:00+00:00 7.976282 13.310953 5.334671
2019-04-11 00:00:00+00:00 7.975260 13.296356 5.321096
History Twitter Data
Fetch the historical count of twitter followers.
san.get(
"history_twitter_data/santiment",
from_date="2019-04-08",
to_date="2019-04-13",
interval="1d"
)
Example result:
datetime followers_count
2019-04-08 00:00:00+00:00 10524
2019-04-09 00:00:00+00:00 10524
2019-04-10 00:00:00+00:00 10525
2019-04-11 00:00:00+00:00 10520
2019-04-12 00:00:00+00:00 10526
2019-04-13 00:00:00+00:00 10529
Price Volume Difference
Fetch the price-volume difference technical indicator for a given slug, display currency and time period. This indicator measures the difference in trend between price and volume, specifically when price goes up as volume goes down.
san.get(
"price_volume_difference/santiment",
from_date="2019-04-18",
to_date="2019-04-23",
interval="1d",
currency="USD"
)
Example result:
datetime priceChange priceVolumeDiff volumeChange
2019-04-18 00:00:00+00:00 0.017779 0.013606 -39908.007476
2019-04-19 00:00:00+00:00 0.012587 0.007332 -31195.568878
2019-04-20 00:00:00+00:00 0.009062 0.004169 -24550.100411
2019-04-21 00:00:00+00:00 0.002573 0.001035 -19307.845911
2019-04-22 00:00:00+00:00 0.001527 0.000703 -20317.934666
Ethereum Top Transactions
Top ETH transactions for project's team wallets.
Available transaction types:
- ALL
- IN
- OUT
san.get(
"eth_top_transactions/santiment",
from_date="2019-04-18",
to_date="2019-04-30",
limit=5,
transaction_type="ALL"
)
Example result:
The result is shortened for convenience
datetime fromAddress fromAddressInExchange toAddress toAddressInExchange trxHash trxValue
2019-04-29 21:33:31+00:00 0xe76fe52a251c8f... False 0x45d6275d9496b... False 0x776cd57382456a... 100.00
2019-04-29 21:21:18+00:00 0xe76fe52a251c8f... False 0x468bdccdc334f... False 0x848414fb5c382f... 40.95
2019-04-19 14:14:52+00:00 0x1f3df0b8390bb8... False 0xd69bc0585e05e... False 0x590512e1f1fbcf... 19.48
2019-04-19 14:09:58+00:00 0x1f3df0b8390bb8... False 0x723fb5c14eaff... False 0x78e0720b9e72d1... 15.15
Ethereum Spent Over Time
ETH spent for each interval from the project's team wallet and time period
san.get(
"eth_spent_over_time/santiment",
from_date="2019-04-18",
to_date="2019-04-23",
interval="1d"
)
Example result:
datetime ethSpent
2019-04-18 00:00:00+00:00 0.000000
2019-04-19 00:00:00+00:00 34.630284
2019-04-20 00:00:00+00:00 0.000000
2019-04-21 00:00:00+00:00 0.000158
2019-04-22 00:00:00+00:00 0.000000
Token Top Transactions
Top transactions for the token of a given project
san.get(
"token_top_transactions/santiment",
from_date="2019-04-18",
to_date="2019-04-30",
limit=5
)
Example result:
The result is shortened for convenience
datetime fromAddress fromAddressInExchange toAddress toAddressInExchange trxHash trxValue
2019-04-21 13:51:59+00:00 0x1f3df0b8390bb8... False 0x5eaae5e949952... False 0xdbced935b09dd0... 166674.00000
2019-04-28 07:43:38+00:00 0x0a920bfdf7f977... False 0x868074aab18ea... False 0x5f2214d34bcdc3... 33181.82279
2019-04-28 07:53:32+00:00 0x868074aab18ea3... False 0x876eabf441b2e... True 0x90bd286da38a2b... 33181.82279
2019-04-26 14:38:45+00:00 0x876eabf441b2ee... True 0x76af586d041d6... False 0xe45b86f415e930... 28999.64023
2019-04-30 15:17:28+00:00 0x876eabf441b2ee... True 0x1f4a90043cf2d... False 0xc85892b9ef8c64... 20544.42975
Full list of on-chain metrics
This list includes:
- MVRV
- Age Destroyed
- Transaction Volume
- Circulation
- NVT
- Realized Value
- Realized Price
- Velocity
- Mean Age
- Exchange Metrics
All of the following metrics have accept the same parameters and have the same response structure
Returns data for a given metric. The input, that is needed, is the string 'metric/slug', a 'from' date, a 'to' date, a string for the interval and an aggregation, which is optional (When not given, the aggregation is determined automatically by the API).
The available metrics can be seen here:
san.get(
"daily_active_addresses/santiment",
from_date="2019-08-31",
to_date="2019-09-03",
interval="2d",
aggregation="AVG"
)
Example result:
datetime value
2019-08-30 00:00:00+00:00 4.0
2019-09-01 00:00:00+00:00 5.5
2019-09-03 00:00:00+00:00 9.0
Emerging Trends
Emerging trends for a given period of time
san.get(
"emerging_trends",
from_date="2019-07-01",
to_date="2019-07-02",
interval="1d",
size=5
)
Example result:
datetime score word
2019-07-01 00:00:00+00:00 375.160034 lnbc
2019-07-01 00:00:00+00:00 355.323281 dent
2019-07-01 00:00:00+00:00 268.653820 link
2019-07-01 00:00:00+00:00 231.721809 shorts
2019-07-01 00:00:00+00:00 206.812798 btt
2019-07-02 00:00:00+00:00 209.343752 bounce
2019-07-02 00:00:00+00:00 135.412811 vidt
2019-07-02 00:00:00+00:00 116.842801 bat
2019-07-02 00:00:00+00:00 98.517600 bottom
2019-07-02 00:00:00+00:00 89.309975 haiku
Top Social Gainers Losers
Top social gainers/losers returns the social volume changes for crypto projects.
san.get(
"top_social_gainers_losers",
from_date="2019-07-18",
to_date="2019-07-30",
size=5,
time_window="2d",
status="ALL"
)
Example result:
The result is shortened for convenience
datetime slug change status
2019-07-28 01:00:00+00:00 libra-credit 21.000000 GAINER
2019-07-28 01:00:00+00:00 aeon -1.000000 LOSER
2019-07-28 01:00:00+00:00 thunder-token 5.000000 NEWCOMER
2019-07-28 02:00:00+00:00 libra-credit 43.000000 GAINER
... ... ... ...
2019-07-30 07:00:00+00:00 storj 12.000000 NEWCOMER
2019-07-30 11:00:00+00:00 storj 21.000000 GAINER
2019-07-30 11:00:00+00:00 aergo -1.000000 LOSER
2019-07-30 11:00:00+00:00 litex 8.000000 NEWCOMER
Running tests
python setup.py test
Running integration tests
python setup.py nosetests -a integration
Project details
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