Dropstab delivers coin lookup and research data through a JSON API

Coin identity and dataset choice solve different problems

Coin lookup identifies the asset behind a request, while dataset selection determines which information an application receives about that asset or its wider market context.

Search terms and record identity

Names and symbols support discovery, including typo-tolerant search. Slugs and platform coin IDs provide references to tracked records, and contract addresses supply another supported lookup input. The returned metadata helps distinguish the intended project from a similarly named result. A tolerant text match doesn’t establish that two records represent the same asset.

Market data and project records

Coin records contain asset-level market information, while funding rounds describe fundraising events and investor profiles describe investors and investment firms. An exchange profile has a different scope: it describes a venue and can optionally include its trading pairs. Choosing the data family determines whether the response answers a market, financing, or exchange-data question.

JSON gives applications structured records

Software receives values that it can use in its own interface, calculations, or stored research records. The commercial API returns data in JSON format. JSON stands for JavaScript Object Notation, a structured text format that programs can read. An application can present those values in its own layout while preserving their labels, units, and time context.

A price, an allocation, and a funding amount measure different things. Their shared delivery format doesn’t make those figures interchangeable.

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Historical prices and chart series serve different tasks

Historical prices answer dated valuation questions, while chart series describe changes across a period. The requested time scope determines how those observations relate to the analysis.

Prices on a selected date

A historical price concerns an asset’s value on a selected date, while the latest market record represents an ongoing market view. The date belongs beside the number when software presents it. Mixing a past price with a current display label changes the meaning, even when the asset identifier remains the same.

Series across an interval

The API supports chart data for a selected timeframe or custom date range. These options let an application frame its chart around the period that the analysis concerns. Historical Fear & Greed Index values supply another series, with a different meaning from an individual coin price. Keeping the measure and period visible helps preserve that distinction when an interface displays several historical datasets together.

Research datasets add distinct kinds of context

Research records cover funding, supply schedules, and project events, adding context about a project beyond the movement that a price chart displays.

Investors and funding rounds

Investor and venture capital profiles provide information about investment participants. Portfolio metrics describe their tracked investments, while private and public funding rounds concern fundraising events. An investor profile and a round therefore answer different questions, even when they concern the same project. An investor’s involvement doesn’t establish a project’s present market price or predict its next move.

Unlock schedules and allocations

Unlock and vesting datasets include schedules, allocation details, metrics, and chart data. They describe the supply schedule within the covered record. A scheduled release and an observed market-price change are different kinds of information. The schedule alone doesn’t establish a later price effect.

Activities and exchange records

Crypto Activities covers exchange listings, protocol upgrades, token launches, partnerships, and airdrops. Exchange profiles and trading pairs describe venues and their markets. An event concerning a listing and a trading-pair record have different meanings, even when they concern the same project.

API keys and subscription scope govern access

The commercial API authenticates requests with an API key. The subscription determines which datasets an application can retrieve and the usage limits that apply to its requests.

Subscribing supplies the key used in requests. Possessing that credential doesn’t automatically grant access to every data family. Selecting a plan involves the required datasets as well as the expected request allowance. Adding research data to a market-data application can change which subscription covers its needs.

Keep the key out of published HTML and public repositories. It’s an access credential, so a static page shouldn’t expose it as ordinary content.

Request budgets and data freshness need separate treatment

Request limits describe permitted API usage, while freshness describes when a dataset gains new information. A successful request can return a research record that hasn’t changed since the previous request. Prices receive frequent updates, while funding rounds and project descriptions change when verifiable information becomes available. The refresh pattern needs to match the kind of information that the application uses.

A larger request allowance provides more capacity to retrieve data. It doesn’t establish a faster publication schedule for every dataset or access to additional endpoints.