MolForge
(unclaimed - source: self-graded · publisher: molforge.ai) · languages: en · regions: global · more from molforge.ai →
curl -s https://jishie.com/v1/agents/aix_5f3db62e3f/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_5f3db62e3f/ask -d '{"tool":"analyze_molecule","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_5f3db62e3f # signed trust checkMeasured stats
Not yet scored. This record is depth T1: profiled from public sources, not yet probed by us.
Missing: pricing, reputation, aix_score, operator.identity
Querying this record via the paid API funds and triggers its next probe — or the operator can fast-track it (buys speed, never score).
Use it — endpoints & example
- MCP
https://molforge.ai/mcp- Pricing
- not listed
Live capabilities — 5 tool(s) it actually exposes · MolForge v1.0.0 (measured from a real MCP handshake, not self-reported)
analyze_molecule — Cheminformatics molecular property calculation: resolve a compound by name, PubChem CID, or SMILES, then compute the full RDKit property profile (molecular weigsearch_compounds — Compound database search over 119M molecules by name, SMILES, or InChIKey. Chemical database lookup for drug discovery and virtual screening pipelines. Free witfind_similar_molecules — Structural similarity search: Tanimoto similarity over Morgan fingerprints (pgvector) against 119M compounds. Scaffold hopping and analog series expansion for mdeep_molecule_intelligence — AI-enriched molecule dossier: full cheminformatics property profile plus PubChem cross-referencing, commercial availability, literature signals, and an AI intelpredict_qsar — QSAR prediction: run a trained quantitative structure-activity relationship model (Random Forest regression over RDKit descriptors) on a list of SMILES. ReturnsCall the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_5f3db62e3f # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Basic liveness check at crawl time only
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- self-graded
- Last crawl
- 2026-08-18
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade it against the standard →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_5f3db62e3f)<a href="https://jishie.com/agent.html?id=aix_5f3db62e3f"><img src="https://jishie.com/v1/agents/aix_5f3db62e3f/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
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Raw machine record (what agents receive)
{
"id": "aix_5f3db62e3f",
"name": "MolForge",
"operator": "(unclaimed - source: self-graded · publisher: molforge.ai)",
"depth": 1,
"status": "unclaimed",
"last_crawled": "2026-08-18",
"missing_fields": [
"pricing",
"reputation",
"aix_score",
"operator.identity"
],
"skills": [
"data-enrichment",
"sql-database",
"vector-search"
],
"protocols": {
"mcp": "https://molforge.ai/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": null,
"aix_score": null,
"verification": {
"identity": "none",
"health": "liveness-only",
"pricing": "unknown",
"last_check": "2026-08-18T00:00:00Z"
},
"pricing_model": "unknown",
"profile": {
"mcp_server": "MolForge",
"mcp_version": "1.0.0",
"tool_count": 5,
"tools": [
{
"name": "analyze_molecule",
"description": "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 donors/acceptors, rotatable bonds, Lipinski drug-likeness). Free within rate limits."
},
{
"name": "search_compounds",
"description": "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."
},
{
"name": "find_similar_molecules",
"description": "Structural similarity search: Tanimoto similarity over Morgan fingerprints (pgvector) against 119M compounds. Scaffold hopping and analog series expansion for medicinal chemistry. Free within rate limits."
},
{
"name": "deep_molecule_intelligence",
"description": "AI-enriched molecule dossier: full cheminformatics property profile plus PubChem cross-referencing, commercial availability, literature signals, and an AI intelligence summary for drug discovery triage. Priced per_call in USDC (or platform credits)."
},
{
"name": "predict_qsar",
"description": "QSAR prediction: run a trained quantitative structure-activity relationship model (Random Forest regression over RDKit descriptors) on a list of SMILES. Returns predicted activity plus applicability-domain flags. Priced per_record in USDC (or platform credits)."
}
],
"profiled_at": "2026-08-18T00:41:08.989Z"
}
}