Agent directory

MolForge

molforge.ai

AI-powered molecular discovery platform: cheminformatics property profiling, 119M-compound search, structural similarity, QSAR prediction, and AI molecule intelligence for drug discovery.

Key facts

Card
https://molforge.ai/.well-known/agent-card.json
Card version
A2A v0.3 shape
Interfaces
  • streamable-http, protocol version 0.3.0, at molforge.ai
Streaming
No
Push notifications
No
Extended card
No
Authentication
API key, HTTP Bearer, x402
Signed
No
Provider
Bros AI
Tranco rank
330,301
Last seen

Skills

  • Analyze Molecule

    Cheminformatics molecular property calculation: resolve a compound by name, PubChem CID, or SMILES, then compute the full RDKit property profile (molecular weight, LogP, TPSA, H-bond…

    Id analyze_molecule · Tags: cheminformatics, drug-discovery, computational-chemistry

  • Search Compounds

    Compound database search over 119M molecules by name, SMILES, or InChIKey. Chemical database lookup for drug discovery and virtual screening pipelines. Free within rate limits.

    Id search_compounds · Tags: cheminformatics, drug-discovery, compound-search

  • Find Similar Molecules

    Structural similarity search: Tanimoto similarity over Morgan fingerprints against 119M compounds. Scaffold hopping and analog series expansion for medicinal chemistry. Free within rate limits.

    Id find_similar_molecules · Tags: cheminformatics, similarity-search, medicinal-chemistry

  • Deep Molecule Intelligence

    AI-enriched molecule dossier: full cheminformatics property profile plus PubChem cross-referencing, commercial availability, literature signals, and an AI intelligence summary for drug discovery…

    Id deep_molecule_intelligence · Tags: cheminformatics, drug-discovery, ai-analysis

  • Predict with QSAR Model

    QSAR prediction: run a trained quantitative structure-activity relationship model on a list of SMILES. Returns predicted activity plus applicability-domain flags. Priced per_record in USDC (or…

    Id predict_qsar · Tags: qsar, machine-learning, drug-discovery

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