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AVM Discovery

by Carlos RussellGitHubUpdated Jun 22, 2026

VDR analysis + neural anomaly scoring for M&A deal intelligence (5 tools)

m&a
vdr
anomaly-detection
+2
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How to pay

Pick whichever fits your workflow — you can switch any time.

Subscribe

Monthly billing

Free

Predictable monthly cost with included usage. Best for steady, high-volume traffic.

  • Unlimited tools within plan limits
  • One API key, billed once a month
  • Cancel any time

Pay-per-call

Agent-native

$0.01 – $0.02 per call

Charge agents in USDC the moment they call a tool. No subscriptions, no signup — pay only for what you use.

  • 5 priced tools available
  • Settled in USDC on Base
  • No account or API key required

AVM Discovery is the first-stage intelligence layer of the AVM Alpha pipeline. It combines LLM-assisted Virtual Data Room (VDR) analysis with neural anomaly scoring to surface deal-material findings before they reach the quantitative engines.

Modules

  • VDR-Insight — Provider-agnostic extraction: builds grounded LLM requests, verifies citations, extracts heuristics
  • avm-anomaly (NIM-Morpheus) — Neural anomaly scoring over entity sets; fuses signals into ranked common.Finding candidates

Tools (5)

ToolPriceWhat it does
vdr_build_extraction_request$0.01Provider-agnostic VDR LLM request
vdr_verify_report$0.02Citation grounding + figure traceability
vdr_extract_heuristics$0.01Hand hypotheses to LogNexus
anomaly_score_entities$0.02Neural anomaly scoring (no $)
anomaly_fuse_findings$0.02Neuro-symbolic fusion

Architecture

Neural (avm-anomaly) and LLM (VDR-Insight) layers detect and hypothesize. The canonical common.Finding is the only object that carries a dollar — set by deterministic code downstream, never a model.

Smoke Check

vdr_extract_heuristics
anomalyscore_entities