LeadProof Agent:
The Autonomous Revenue Deal Desk & Forensic Verifier That Can Explain Why.
Eliminating hallucinated lead scores and buyer bluffs by joining 5 enterprise silos in-situ via Zetaris Federated SQL, enforcing Meterless H-MEM & Scout Intent execution contracts, and giving revenue teams an interactive "What Would Change My Mind?" Counterfactual Simulator.
🌐 Live Production Demo
https://openagent.autoailead.com
Interactive Split-View Deal Desk + 5 Real Scenarios
💻 Open-Source Repository
github.com/nathanro/autoailead-leadproof-agent
MIT License · Full Test Suite Passing (8/8)
👤 Builder & Organization
Nathan Romano (Solo Builder)
AutoAI Lead / PubliExpert LLC
Why Black-Box Revenue Agents Fail in Production
Today’s AI sales & reception agents evaluate incoming leads using only the text inside the chat window or a single CRM record. Because the ground truth is fragmented across Billing, Support, Product Telemetry, and Legal vaults, naive agents fail in three costly ways:
1. Deception & Bad-Debt Traps
A prospect claims "We have 50 active Pro seats in good standing—unlock Enterprise API today." A prompt-only LLM scores it 95/100 and auto-provisions keys to a 3-seat trial that owes $4,200 (47 days overdue).
2. Procurement Discount Bluffs
A buyer threatens to cancel at renewal unless given 45% off, claiming "our engineers barely use the tool." Without telemetry federation, the AI panics and faces a $27,900 discount bluff (45% demanded off $62k ARR → $22,940 net margin saved after enforcing the 8% MSA cap) when usage is actually 98.4%.
3. Zero Auditability ("Why 82?")
When an AI outputs an opaque score without row-level citations or counterfactuals, RevOps, Deal Desk, and local clinic owners refuse to trust or automate high-stakes actions.
🎯 Target Users (From AutoAI Lead's 200+ SMB & B2B Customer Base)
1. B2B SaaS RevOps & Deal Desk Teams qualifying expansions, renewals, and custom payment terms.
2. High-Ticket Local Service Businesses (Dental Implant Clinics, Commercial HVAC Contractors) qualifying $5k–$15k emergency & surgical cases on WhatsApp and phone.
LeadProof Agent: Every Verdict Backed by a 5-Silo Proof Tree
🔍 1. Clickable 5-Silo Source Citations ([SRC-1]–[SRC-5])
Every claim in the agent’s verdict and drafted outreach is linked to a cryptographic SHA-256 row hash across CRM, Stripe Billing, Intercom Support, PostHog/Iceberg Telemetry, and Ironclad Legal contracts.
🚨 2. Cross-Silo Deception & Bluff Detection
Automatically contrasts what the buyer claims in chat against live federated data—catching overdue invoices, inflated seat counts, shadow engineering saturation, and CapEx signer limits.
🎛️ 3. "What Would Change My Mind?" Simulator
Judges and operators can drag the live Discount % Slider, change Payment Terms, or toggle 5 evidence signals to see the exact threshold that flips a HOLD into QUALIFIED_FAST_TRACK.
💬 4. Live AI Interrogation & Self-Healing Outreach
Powered by live muse-spark-1.3 inference + deterministic fallbacks: drafts ready-to-send WhatsApp/Email replies with embedded Stripe settlement or CFO CapEx sign-off links.
💡 In One Sentence, Why We Thought Zetaris + Meterless Was Amazing:
“Combining Zetaris’s zero-ETL federated SQL with Meterless’s H-MEM and Scout execution contracts let our agent catch a $27,900 procurement discount bluff ($22,940 net margin saved after enforcing the 8% MSA cap) across 5 data silos in 39 milliseconds without moving a single byte of customer PII into an LLM prompt.”
End-to-End Governed Reasoning Pipeline
[1. Inbound Prospect Claim] (WhatsApp / Email / Voice Transcript + Requested Discount % & Payment Terms)
│
▼
[2. Meterless Scout Intent Pipeline] (Sense → Interpret → 5-Layer Guard → Route → HMAC-SHA256 ExecutionContract)
│ Enforces RBAC, Injection Guard, Scope & Tenant Spend Cap ($15.00) before any tool executes
▼
[3. Zetaris Super MCP · 5-Silo Federated SQL Pushdown] (Zero-ETL · Read-Only · MASK_CLS Enforced)
├─ [SRC-1] zetaris_crm.hubspot_contacts (Snowflake DWH: Role, Signer Authority Ceiling)
├─ [SRC-2] zetaris_billing.stripe_subscriptions (PostgreSQL: Active Seats, Past-Due $, Delinquency)
├─ [SRC-3] zetaris_support.intercom_tickets (Intercom REST: P1 Locks, Clinical/CBCT Vault)
├─ [SRC-4] zetaris_intent.posthog_events (S3/Iceberg: 98.4% Shadow Engineering Saturation)
└─ [SRC-5] zetaris_legal.ironclad_contracts (Oracle/Ironclad: Max Discount %, Allowed Terms)
│
▼
[4. Meterless H-MEM Hybrid Recall & Conflict Detection]
├─ Hybrid Score: clamp01(0.35·sem + 0.20·kw + 0.10·tag + 0.10·dom + 0.15·ent + 0.05·layer + 0.05·rec - 0.20·sup) × conf
└─ Logs conflict_detected / conflict_resolved to append-only TrustLedgerService
│
▼
[5. Explainable Proof Tree + Deal Desk Margin Simulator + Live AI Synthesis (muse-spark-1.3)]
└─ Outputs Verdict, 4-Pillar Score, Margin Protected ($), Counterfactual Sliders & Cited Reply Draft
Runtime & Edge Stack
Node.js 20+ ESM & Cloudflare Workers Edge (`openagent.autoailead.com`) with zero heavy dependencies.
Sponsor Engines
Zetaris Federated SQL / Super MCP + Meterless H-MEM, Scout Intent & Outcome Ledger.
Live AI Reasoning
Live muse-spark-1.3 structured JSON synthesis + NVIDIA Nemotron compatible OpenAI routing.
How Zetaris Was Used & What Made Our Approach Unique
1. 5-Silo Cross-Platform Federated Joins (Zero-ETL)
Instead of dumping raw CSVs into a vector DB, ZetarisClient executes a single federated SQL query across Snowflake, PostgreSQL, Intercom REST, S3/Iceberg, and Oracle/Ironclad with ZERO_ETL = TRUE.
2. Column-Level Security (MASK_CLS) & Read-Only MCP
Sensitive fields (personal_phone, card_fingerprint, bank_routing) are masked in-situ before reaching the agent. Any UPDATE/DELETE/DROP query is blocked with HTTP 403 and logged to the Zetaris audit trail.
3. Cryptographic Row Provenance & Counterfactual Pushdown
Every federated row returns a sha256 digest and pushdown predicate so clicking [SRC-1]–[SRC-5] proves the exact record that triggered the decision.
-- Zetaris Super MCP · 5-Silo Governed Query SELECT c.record_id AS crm_id, c.verified_role, MASK_CLS(c.personal_phone) AS personal_phone, b.subscription_id, b.active_seats, b.past_due_usd, b.billing_status, MASK_CLS(b.card_fingerprint) AS card_fp, s.ticket_id, s.open_escalations, s.status, i.intent_score, i.usage_quota_pct, i.active_engineers_count, i.anomaly_flag, l.contract_id, l.max_discount_allowed_pct, l.allowed_payment_terms, l.required_signer FROM zetaris_crm.hubspot_contacts c JOIN zetaris_billing.stripe_subscriptions b ON c.account_key = b.account_key LEFT JOIN zetaris_support.intercom_tickets s ON c.account_key = s.account_key LEFT JOIN zetaris_intent.posthog_events i ON c.account_key = i.account_key LEFT JOIN zetaris_legal.ironclad_contracts l ON c.account_key = l.account_key WHERE c.scenario_key = 'shadow-discount-bluff' WITH (ZETARIS_PUSHDOWN = TRUE, ZERO_ETL = TRUE);
How Meterless Was Used & What Made Our Approach Unique
1. Canonical H-MEM Hybrid Formula & TrustLedgerService
Implements the exact H-MEM specification (engines/hmem/AGENTS.md):
raw = 0.35·semantic + 0.20·keyword + 0.10·tag + 0.10·domain
+ 0.15·entity + 0.05·layer + 0.05·recency − 0.20·superseded
score = clamp01(raw) × confidence
Includes live interactive feedback buttons (👍 Helpful +0.05, 👎 Not Helpful -0.03, ⚠️ Wrong -0.20 + review) and logs all 17 canonical audit actions to TrustLedgerService.
2. Scout Intent 5-Stage Signed Execution Contracts
Implements Sense → Interpret → Guard → Route → Recommend (engines/scout-intent/AGENTS.md), issuing an immutable hmac-sha256 signed ExecutionContract with a 5-layer guard stack before any Zetaris query runs.
3. Outcome ROI & Margin Protection Circuit Breaker
Instead of billing per raw token, our Meterless ledger tracks Verified Margin Protected ($22,940–$28,200 per deal) vs. outcome unit cost ($0.0018 cloud equivalent / $0.00 on local Nightshift hotspot).
Live Light-Mode Deal Desk UI (`openagent.autoailead.com`)
🚨 1. Apex Logistics ($24k ARR) — Deception Caught
Claims 50 seats & $0 overdue. Zetaris catches $4,200 overdue (47d) on 3 seats + P1 lock. Verdict: HOLD (14/100) · $28.2k Protected.
🕵️ 2. Vanguard FinTech ($62k ARR) — Bluff Caught
Demands 45% off claiming "low usage". Zetaris proves 98.4% engineering quota saturation + 8% MSA cap. $27,900 bluff caught → Saves $22,940 net margin (after 8% MSA cap).
✅ 3. Meridian Health ($48k ARR) — Fast-Track
94.2% clinic utilization, 18/18 paid invoices, HIPAA BAA pre-cleared. Verdict: FAST-TRACK (99/100).
🦷 4. Smile Dental ($5.4k) & 🔧 5. Lone Star HVAC ($14.2k)
Verifies 3D CBCT scan `#SCAN-309` in vault (waiving $250 fee) & splits $249 HVAC diagnostic from $14.2k CFO CapEx sign-off.
What’s Next for LeadProof Agent in AutoAI Lead
1. Self-Healing Stripe & Ironclad Webhooks
When a delinquent prospect clicks the Stripe settlement link in LeadProof’s outreach draft and pays their overdue invoice, automatically trigger a Zetaris re-query and release the Enterprise API key in under 5 seconds.
2. Overnight Nightshift Account Audits
Run Meterless Nightshift overnight across all 1,000+ CRM accounts over Zetaris Federated SQL—waking up every morning with verified expansion candidates and churn-bluff defenses at $0 cloud token cost.
3. Live Voice Deal Desk Co-Pilot
Pair real-time bilingual voice transcription with instant Zetaris citation cards during live Zoom/phone negotiations so human AEs see real-time telemetry proof whenever a buyer bluffs.
Try LeadProof Agent Live Now
Live App: https://openagent.autoailead.com · Slide Deck: https://openagent.autoailead.com/deck · GitHub: github.com/nathanro/autoailead-leadproof-agent