Bitcoin address generate python

The Transaction Hash Endpoint returns detailed information about a given transaction based on its hash. TXHASH is a string representing the hex-encoded transaction hash you're interested in querying, for example:. The returned object contains detailed information about the transaction, including the value transfered, date received, and a full listing of inputs and outputs.

The Unconfirmed Transactions Endpoint returns an array of the latest transactions relayed by nodes in a blockchain that haven't been included in any blocks. The returned object is an array of transactions that haven't been included in blocks, arranged in reverse chronological order latest is first, then older transactions follow. To use BlockCypher's two-endpoint transaction creation tool, first you need to provide the input address es , output address, and value to transfer in satoshis.

Provide this in a partially-filled out TX request object. As you can see from the code example, you only need to provide a single public address within the addresses array of both the input and output of your TX request object. You also need to fill in the value with the amount you'd like to transfer from one address to another. If you'd like, you can even use a Wallet instead of addresses as your input. While this particular usage will differ between client libraries, the result is the same: the addresses within your wallet will be used as the inputs , as if all of them had been placed within the addresses array.

As a return object, you'll receive a TXSkeleton containing a slightly-more complete TX alongside data you need to sign in the tosign array. You'll need this object for the next steps of the transaction creation process. For the extra cautious, you can protect yourself from a potential malicious attack on BlockCypher by validating the data we're asking you to sign. Unfortunately, it's impossible to do so directly, as pre-signed signature data is hashed twice using SHA With your TXSkeleton returned from the New Transaction Endpoint, you now need to use your private key s to sign the data provided in the tosign array.

Digital signing can be a difficult process, and is where the majority of issues arise when dealing with cryptocurrency transactions. We are working on integrating client-side signing solutions into our libraries to make this process easier. You can read more about signing here. In the mean time, if you want to experiment with client-side signing, consider using our signer tool.

Once you've finished signing the tosign array locally, put that hex-encoded data into the signatures array of the TXSkeleton. Signature and public key order matters, so make sure they are returned in the same order as the inputs you provided. Signing and creating transactions can be one of the trickiest parts of using blockchains in your applications.

Bitcoin: How to generate BASE58 (P2SH) Addresses using python or other methods - Stack Overflow

By default, we allow unconfirmed UTXOs as inputs when creating transactions. We will compute change and fees the same way. Fees in cryptocurrencies can be complex. We provide 2 different ways for you to control the fees included in your transactions:. To learn more about fees, bitcoinfees.

You'll notice this used to powerful effect in the section on Multisig Transactions. These are the possible script types:. If you'd prefer to use your own transaction library instead of the recommended path of our two-endpoint transaction generation we're still happy to help you propagate your raw transactions.

Simply send your raw hex-encoded transaction to this endpoint and we'll leverage our huge network of nodes to propagate your transaction faster than anywhere else.

If you'd like, you can use the decoded transaction hash alongside an Event to track its progress in the network. We also offer the ability to decode raw transactions without sending propagating them to the network; perhaps you want to double-check another client library or confirm that another service is sending proper transactions.

This allows you to double check the which input you are spending and the value transfered. If it succeeds, you'll receive your decoded WitnessToSignTx object. Multisignature transactions are made simple by the method described in the Creating Transactions section, but they deserve special mention. In order to use them, you first need to fund a multisignature address. The code example demonstrates how the partially filled TX request object would appear. If it returns with an HTTP Status Code , then your multisignature address via a pay-to-script-hash address is funded.

Once funded, you might want to programmatically spend the money in the address at some point. Here the process is similar, but with the inputs and outputs reversed. Then you'd need to return each piece of data signed twice, preserving order between signatures and pubkeys, resulting in four elements for the signatures and pubkeys arrays:.

While you can certainly use our guided transaction process and customize your script output, there's a simpler way: through our Data Endpoint. All you need is the data you want to embed up to 40 bytes, inclusive and we'll handle the rest. In your request object, simply include the data you want to embed. By default, you needn't set an encoding if your data is hex-encoded like a hash, the typical use case for null-data.

That said, if you want to embed plaintext messages in the blockchain, you can set encoding to string. If successful, the return object will include your original request along with the hash of the transaction containing your data as a null-data output.

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To view the data output on the blockchain, simply query the transaction via the hash returned, and check the null-data output within the returned transaction. Please keep in mind that it will always be represented by hex-encoding on the blockchain, even if you selected string as your data encoding ; to see it as your original plaintext, you have to convert it client-side. By operating a well-connected node, we collect a lot of information about how transactions propagate; for example, our Confidence Factor relies on this connectivity.

With this endpoint, you can leverage our connectivity to get an approximation of a transaction's location of origin. TXHASH is a string representing the hex-encoded transaction hash you're interested in querying for propagation information. The return object is described below:. You can get a live view of unconfirmed transaction propagation analysis on Bitcoin by connecting to our Transaction Propagation WebSocket, at the following address:. As soon as an unconfirmed transaction hits 10 peers, we send the object described above through this WebSocket. One of the things that makes BlockCypher's API uniquely powerful is our ability to accurately predict the likelihood of an attempted double-spend succeeding against a transaction; this percentage probability is optionally included within the confidence attribute on any unconfirmed transaction returned by the Transaction Hash Endpoint when using the includeConfidence flag, in addition to the explicit Transaction Confidence Endpoint detailed below.

So what does that confidence attribute actually mean? In simpler terms, if an unconfirmed transaction returns a confidence factor of By design, we're conservative. As you may have gathered from the frequency of links to this feature in these docs, we're exceptionally proud of the work we've done to build this feature and provide it to our users. And that pride extends to our own confidence in our confidence product. We've leveraged this product internally on a major feature: our live block explorer visually shows confidence intervals on unconfirmed transactions directly.

Check out a live view of bitcoin and click on one of the most recent unconfirmed transactions. There are a host of factors that go into our confidence calculation, but you can broadly organize them into two categories. The shape of transactions refers to aspects of transactions that don't vary with time time-invariant in our model. The behavior of transactions refers to aspects of transactions that do vary with time time-variant in our model.

On the shape side of our model, we ask a number of questions about a transaction: How is it structured? What are its inputs and outputs? What's its signature type? Broadly speaking, without knowing anything about the network, does it look like this transaction will be confirmed soon? The behavior part of our model primarily focuses on how a transaction propagates through the network. In order to model this correctly, you need both a great connection to the network and a lot of past data, which we have.

By monitoring transaction propagation, the number of nodes that have received it, and how quickly they received it, we can calculate its probability to be the "winning" transaction at any given point in time, if a double-spend was attempted. The result is a robust and reliable metric for judging unconfirmed transaction confidence, especially when used in concert with webhooks and websockets.

Our work here is based on several public research results in addition to our own in-depth follow-up research, which you can read about here. We are constantly improving our confidence model, and we always publish our findings when we do. Our confidence interval is automatically included in any unconfirmed transaction , but you can retrieve it through a specific endpoint too. The returned TXConfidence object contains the all-important confidence percentage, receive count and more. You can find an unconfirmed transaction hash from our block explorer here.

Cryptocurrency addresses, transactions, and blocks are extremely powerful, but the labels they employ can be That's why we have a Metadata API, allowing both public and private key-value storage against addresses, transactions, and blocks. The Metadata API supports both public and private key-value storage.

In both cases, setting metadata requires use of a token if you haven't already, you can register for one here.

Bitcoin address generation in pure python

Public metadata is immutable ; once set, it cannot be modified or deleted. If you accidentally set public metadata and need it deleted, contact us. Also, as implied by the name, it's openly accessible to the whole worldregardless of whether they have a token or not. Consequently, private metadata is associated and only accessible with your user token.

The methods for interacting with metadata are outlined below. If another key with the same name already exists under your private metadata store, supplying a new value will replace it. New key-value pairs will be added without replacing prexisting key-value pairs. Blockchains are about transferring value and ownership, so why can't that value extend beyond a blockchain's native token? Thanks to the possibility of embedding arbitrary data through null-data outputs, a blockchain can! However, the act of creating these alternate forms of valueand choosing a format that was universally readablecan be fraught with difficulty.