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X402-NVIDIA ESMFold Protein Structure Prediction
x402
X402-NVIDIA ESMFold Protein Structure Prediction is a paid API for AI agents from x402-nvidia.vercel.app, paid per call via x402, $0.055091/call, status unknown (last checked 2026-09-14).
Predicts 3D protein structure from amino acid sequence using NVIDIA NIM's ESMFold model, paid via x402 micropayments
Price / call$0.055091
Success—
StatusUnknown
How this service works
Access 48+ NVIDIA NIM AI models via x402 micropayments. Chat completions, vision, safety, translation, and more.
Output
Returns a predicted protein 3D structure including atomic coordinates, confidence scores (pLDDT), and potentially PDB-format output representing the folded conformation of the input amino acid sequence
Example use cases
Drug candidate protein validation
“I need to quickly verify the 3D structure of this mutant protein variant we're testing as a potential drug target. Can you fold this sequence and tell me if the predicted structure looks stable? Here's the amino acid sequence: MKTAYIAKQRQISFVKSHFSRQLEERLGLIEVQAPILSRVGDGTQDNLSGAEKAVQVKVKALPDAQFEVVHSLAKWKRQTLGQHDFSAGEGLYTHMKALRPDEDRLSPLHSVYVDQWDWERVMGDGERQFSTLKSTVEAIWAGIKATEAAVSEEFGLAPFLPDQIHFVHSQELLSRYPDLDAKGRERAIAKDLGAVFLVGIGGKLSDGHRHDVRAPDYDDWSTPSELGHAGLNGDILVWNPVLEDAFELSSMGIRVDADTLKHQLALTGDEDRLELEWHQALLRGEMPQTIGGGIGQSRLTMLLLQLPHIGQVQAGVWPAAVRESVPSLL”
Enzyme function annotation workflow
“We have a novel enzyme sequence from a metagenomic study and need to predict its 3D structure to understand potential active sites. Can you fold this protein and output the structure in PDB format so we can visualize it? Sequence: MKTAYIAKQRQISFVKSHFSRQLEERLGLIEVQAPILSRVGDGTQDNLSGAEKAVQVKVKALPDAQFEVVHSLAKWKRQTLGQHDFSAGEGLYTHMKALRPDEDRLSPLHSVYVDQWDWERVMGDGERQFSTLKSTVEAIWAGIKATEAAVSEEFGLAPFLPDQIHFVHSQELLSRYPDLDAKGRERAIAKDLGAVFLVGIGGKLSDGHRHDVRAPDYDDWSTPSELGHAGLNGDILVWNPVLEDAFELSSMGIRVDADTLKHQLALTGDEDRLELEWHQALLRGEMPQTIGGGIGQSRLTMLLLQLPHIGQVQAGVWPAAVRESVPSLL”
Protein design confidence scoring
“I'm comparing several synthetic protein variants for an industrial application. Can you predict the folded structure and confidence scores for each of these sequences so I can pick the most stable candidate? Here's the first one: MKTAYIAKQRQISFVKSHFSRQLEERLGLIEVQAPILSRVGDGTQDNLSGAEKAVQVKVKALPDAQFEVVHSLAKWKRQTLGQHDFSAGEGLYTHMKALRPDEDRLSPLHSVYVDQWDWERVMGDGERQFSTLKSTVEAIWAGIKATEAAVSEEFGLAPFLPDQIHFVHSQELLSRYPDLDAKGRERAIAKDLGAVFLVGIGGKLSDGHRHDVRAPDYDDWSTPSELGHAGLNGDILVWNPVLEDAFELSSMGIRVDADTLKHQLALTGDEDRLELEWHQALLRGEMPQTIGGGIGQSRLTMLLLQLPHIGQVQAGVWPAAVRESVPSLL”
Technical details
Endpoint
POSThttps://x402-nvidia.vercel.app/api/esmfoldWhen to prefer
Use this endpoint when you need fast, AI-based protein structure prediction from a raw amino acid sequence without setting up local ESMFold infrastructure; ideal for one-off predictions billed per call via USDC micropayments rather than subscription
Side effects
- Invalid or malformed amino acid sequence returns error
- Sequence too long for model context window
- Payment authorization failure via x402 protocol
- NVIDIA NIM backend timeout for complex sequences
- Empty or missing sequence input
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| choices | array | Model responses |
Tags
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