You launch a collection of 10,000 Bitcoin NFTs and find that standard Ethereum tools don't work? Ordinals require deep understanding of the UTXO model and manual transaction management. We develop services for mass Ordinals minting on Bitcoin: from batch inscriptions to full APIs. With over 5 years of Bitcoin infrastructure experience and 10+ inscription projects, we guarantee stability under load. Contact us to discuss the architecture for your task.
At the core of the service is the Ordinals protocol, which allows arbitrary data to be inscribed into the witness section of a transaction. Each satoshi is numbered in order of mining, and data is packed via OP_FALSE OP_IF <data> OP_ENDIF. This isn't smart contracts—data is on-chain directly in Bitcoin. Developing mass-minting requires understanding the UTXO model, which is fundamentally different from the Ethereum account model. Unlike ERC-721, where minting is a contract call, Ordinals requires physical management of UTXOs and fee calculation. Solana NFT minting processes 10,000 transactions per second; Ordinals requires waiting 1–2 blocks, making mass minting ten times slower but ensuring L1 security. Batch Bitcoin inscriptions via a single reveal reduce fees by 2–3×—for a run of 10,000 inscriptions, savings amount to roughly 0.2 BTC. This is a fully managed inscription service with an API for mass minting, and our Ordinals API provides endpoints for batch uploads. The turnkey service includes full Bitcoin Core support and mempool fee management. All inscriptions use Taproot with P2TR.
How the UTXO Model Works in Ordinals
In Ethereum: address → balance. In Bitcoin: a set of UTXOs, each must be explicitly used as an input. An inscription is attached to a specific UTXO (the first satoshi—the "cardinal" sat).
The first mistake in mass minting: UTXO consolidation without considering inscriptions. A standard Bitcoin wallet merges small UTXOs to optimize fees—if consolidation grabs a UTXO with an inscription, it is lost. An Ordinals wallet must distinguish cardinal UTXOs from plain UTXOs. For batch uploads, we use our own UTXO management with PostgreSQL.
Dust limit is mandatory: the output of a reveal transaction must be >= 546 satoshi (P2WPKH) or 330 satoshi (P2TR). During batch minting, each inscribed output is 546–1000 satoshi. For 1000 inscriptions, at least 0.000546 BTC goes to dust alone. For scaling, we use a BullMQ queue—each job goes through states: PENDING_COMMIT, COMMITTED, PENDING_REVEAL, INSCRIBED.
Commit-reveal scheme:
- Commit—P2TR output with tapscript containing data.
- Reveal—spends the commit, reveals the tapscript.
After commit (minimum 1 block), the reveal is published. With block time ~10 minutes and a congested mempool, the process stretches to hours. A queue with states is necessary.
What Challenges Arise in Batch Minting?
Fee Calculation
Bitcoin fee = fee_rate (sat/vByte) × transaction_size (vBytes). A 100 KB inscription in witness gives ~25,000 vBytes. At a fee rate of 50 sat/vByte, one inscription can cost up to 0.01 BTC just in fees.
The service must:
- Get the current fee rate from mempool.space.
- Calculate the exact transaction size before assembly.
- Show the user total cost = inscription fee + miner fee + service fee.
- Offer a feeRate multiplier: 1.0x economy, 1.5x standard, 2.0x fast.
Batch Strategy
One reveal can contain multiple inscriptions via concatenation in tapscript. This reduces overhead, but if the reveal gets stuck, all inscriptions wait. For a commercial service, we recommend separate transactions with independent status.
For production, we use PostgreSQL for UTXO tracking, separately marking cardinal and plain outputs. Each commit UTXO is tracked until the reveal is confirmed. A reconciliation process checks the blockchain status every 30 minutes.
Example Architecture
Backend—Node.js, @scure/btc-signer for transaction assembly. Own Bitcoin Core node with txindex=1 for independence.
| Component | Technology |
|---|---|
| Transaction builder | bitcoinjs-lib v6 / @scure/btc-signer |
| UTXO management | PostgreSQL (tracked UTXOs) |
| Bitcoin node | Bitcoin Core RPC |
| Fee estimation | mempool.space API (real-time sat/vbyte) |
| Job queue | BullMQ (commit/reveal pipeline) |
| Payment processing | BIP-21 URI + on-chain detection |
Fee Priority
| Priority | Multiplier | Example Wait |
|---|---|---|
| Economy | 1.0× | 3–6 blocks |
| Standard | 1.5× | 1–2 blocks |
| Fast | 2.0× | next block |
User Interface
Drag-and-drop files (WebP, PNG, GIF, MP4, HTML). Preview and fee calculation before payment. BTC address with QR. Real-time status via WebSocket: detecting payment → commit sent → commit confirmed → reveal sent → inscribed. Link to ordinals.com or ord.io.
How Is Security Ensured in Mass Minting?
- RBF—we wait for at least 1 payment confirmation before commit.
- Orphaned commits—rare, but reconciliation is needed.
- Content filtering—hash-based blacklist of illegal content at upload stage.
What's Included in the Work
- Requirements analysis and architecture design
- Development of Bitcoin transaction builder with batch support
- Integration of payment detection (BIP-21, on-chain)
- UI for upload, status, and history
- Testing on Testnet4 (full end-to-end pipeline)
- Deployment on VPS with Bitcoin Core, monitoring
- API documentation and user instructions
- One month of support after launch
Work Process
- Analysis (1–2 days): target audience, BRC-20 or plain Ordinals support, load volume.
- Development (1–2 weeks): transaction builder + job queue + payment detection + frontend.
- Testing: full cycle on testnet.
- Deployment: Docker containers, Bitcoin Core node (~600 GB SSD), pending job monitoring.
Timeline: basic single-inscription service—1–1.5 weeks. Bulk minting with dashboard and API—2–3 weeks. Cost is determined after requirements analysis.
Get a demo architecture tailored to your needs. Assess the service capabilities—contact us for a consultation. Order an audit of your project or an architecture prototype.







