Dappradar's Trader API plan paired data access with a monthly call allowance
Dappradar offered 2,500 API calls per month through its Trader plan. Introduced in May 2023, the plan cost $9.99 per month and opened programmatic access to dapp data. Frequent refreshes could draw down that allowance faster than occasional requests, depending on how many calls each refresh required. The original team announced a wind-down in November 2025, so these figures describe the historical offer. The allowance set a monthly request budget. It did not specify requests per second or guarantee continuous data updates. Endpoint access and the freshness of returned observations also shaped what an integration could accomplish.
Updated
How many calls did the Trader plan include?
The Trader tier introduced in May 2023 included 2,500 API calls per month. Its $9.99 monthly price covered subscription access, while the allowance described the included request capacity. An integration needed to account for data requests across the allocation period. The number of charts or observations shown on screen did not, by itself, measure that demand.
Data retrieval and request parameters
The 2023 introductory interface used GET requests to retrieve data, with an API key providing access. An endpoint selected the kind of information the application requested.
Request selection
Request parameters gave each query a target and a measurement context. Changing a reporting window could change the returned observations without changing the subscription.
The application or collection
The documented identifiers included
dappID
for applications and
collectionID
for
NFT collections. Each endpoint expected identifiers appropriate to its subject. A collection identifier and an application identifier described different objects, even when one project had both.
The chain and time range
Parameters such as
chain
and
range
refined the blockchain and observation period. The API also supported requests for top dapps by chain, category and time window. That made rankings available for research without requiring a manual copy of each displayed entry.
Credential handling
The API key belonged in private request configuration. Public code samples or shared notebooks could expose it to other people. Anyone possessing usable credentials could attempt requests under that access. Sharing the resulting analytics did not require publishing the access key alongside them.
A hypothetical monthly refresh budget
A hypothetical month with 173 dashboard refreshes at 13 counted API calls each would fit inside the historical Trader allowance. Assume no other counted requests and an unchanged allocation of 2,500 calls.
The workload would consume 173 × 13 = 2,249 calls. Subtracting that total from 2,500 would leave 251 calls for other requests in the same month.
A refresh described an update to the displayed analytics, while the calls described the queries supplying it. Reusing a returned dataset across panels would affect demand only if it avoided additional requests. The dashboard's visible update count alone would therefore understate usage in this example.
The calculation holds only while the assumed request count and monthly allocation stay unchanged. Additional queries would reduce the 251-call remainder. A different refresh schedule would change usage proportionally, provided calls per refresh remained the same.
Was the monthly allowance a request-speed limit?
The monthly allowance did not establish a request-speed limit. It described total included usage over the allocation period. A separate throttling rule would govern burst traffic or short intervals. Dividing the allowance across days could support budgeting without creating a documented daily cap. Staying below a monthly total therefore did not establish whether a burst of requests would be accepted.
Reusing responses changed the freshness trade-off
Where response rules permitted storage and reuse, an application could display retrieved analytics without a new upstream request. Request savings came from skipping retrieval, not merely redrawing the interface. Revalidating a stored response could still generate another upstream request. Identical charts could therefore have different request demand because their applications used different retrieval patterns. An integration's tolerance for older observations helped determine when reuse remained appropriate.
A response's retrieval time and its observation window also had different meanings. Retrieving data later did not make historical observations current. Likewise, redrawing a chart did not extend the period its underlying response covered. A snapshot remained useful for questions about that recorded window. Analysis sensitive to new activity needed fresh observations and access to a suitable feed.
Explorer and On-demand addressed different budgets
The May 2023 offer gave Explorer 100 free calls and reserved parts of the data offering for paid tiers. Explorer therefore involved constraints on data access alongside its call count. Trader provided paid API access under its monthly allocation.
On-demand used a different cost structure: $0.005 per call in the May 2023 pricing change. Metered access connected cost to usage, while Trader specified a monthly subscription and included allowance. The historical product range also included Startup, Advanced and Enterprise tiers. Data outside Explorer's access required a paid package even when an integration used few calls.
More calls did not expand the measured activity
The API's dapp statistics described tracked application activity, including Unique Active Wallets, transaction count and volume. Repeated queries retained the measurement scope of their underlying data. More frequent retrieval did not automatically extend tracked contract coverage or reveal every app session outside the blockchain. A refresh budget controlled opportunities to retrieve observations, while the underlying measurement defined the questions those observations could answer.
Contract coverage could change over time, so period comparisons needed matching measurement context. An integration could retain query parameters beside a response to preserve its scope. Those parameters identified the requested application, blockchain and reporting window. They did not, alone, establish complete coverage of every contract belonging to the application.
What did the closure change for API users?
The original team announced a wind-down in November 2025, including plans to stop blockchain and dapp tracking. Unused call capacity could not establish continued data delivery after that change. A May 2026 DAO update announced new ownership for the Dappradar brand and platform assets. The old pricing described the original team's service without establishing the terms of any later offering.
A saved response could remain a record of earlier activity with its original time window and coverage. A live integration needed an available endpoint and observations appropriate to its intended period. Any renewed API offer would have its own access terms and call allocation. The 2023 Trader figures would apply only if a later offer explicitly retained them.
Frequently asked questions
Did switching programming languages change the Trader call allowance?
Switching programming languages did not increase the Trader plan's monthly call allowance. The original API supported client examples including JavaScript, PHP and Python. These options changed how an application sent requests, while the package governed its access and allowance. Rewriting client code could alter its request pattern, so the programming language alone did not describe usage.
Were API calls the same as the transactions a dapp recorded?
API calls and dapp transaction counts measured different activity. Calls described requests from an application to the data service. Transaction statistics described blockchain interactions the platform tracked. A response could summarize many transactions, so activity within the returned dataset could not substitute for the application's request count when estimating API usage.
Could the Trader tier retrieve historical token prices?
The paid API offering in May 2023 included historical token data. Trader belonged to the paid tiers, and the available token datasets included past price information.
Was a Trader API key permission to move wallet assets?
An API key provided data access through the documented retrieval interface. Its GET requests fetched analytics and did not sign wallet transfers. A data credential and a wallet's signing authority were different permissions. Exposing a usable API key could let someone else request data through the associated API access.
How did PRO access differ from a Trader API subscription?
PRO membership and the Trader API subscription described different access arrangements. PRO enabled premium website features, such as expanded Hot Contracts views. Trader was an API package tied to data calls and a monthly allowance. Limits on a website feature therefore did not define the API request budget.
What project information could the API return besides activity metrics?
The API included static project information, such as a dapp's social media details, alongside activity metrics. It also contained metadata for individual NFTs within collections. These fields helped identify or describe an object, while activity fields measured events over their reporting period. Description fields and activity metrics served different purposes within an integration.