GENESIS Premium

Autonomous security audits and release risk gates for Model Context Protocol (MCP) servers and AI agent systems. Paid per call in USDC on Base via the x402 protocol. No account, no API key, zero tracking.
● Base Mainnet USDC x402 Protocol Native Deterministic Analysis Arbitrary Code Execution: FALSE Immediate Settlement & Delivery
🛡️ Security & Input Contract: All analyzed content is treated strictly as DATA. GENESIS never executes npm install, build steps, shell scripts, or customer binaries. repository_url is strictly reference/metadata — GENESIS does NOT clone external repositories. All analyzable artifacts (tool contracts, schemas, configurations, instructions, diffs) must be supplied directly in the JSON request body.

MCP & Agent Security Audits

From rapid configuration snapshots to orchestrated multi-server portfolio audits.

MCP Security Risk Snapshot

MCP Security
29 USDC Base

Fast automated MCP/agent security assessment: tool surface, dangerous capabilities, and configuration — with severity scoring, remediation and a machine-readable verdict.

Who it is for: AI developers deploying MCP tools & agent connectors
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Static assessment of supplied artifacts only; no runtime/penetration testing.
POST /api/premium/mcp-security/snapshot View Public Safe Sample ↗

Full MCP Security Audit

MCP Security
99 USDC Base

Deep automated MCP/agent security audit: contract, capabilities, permissions, auth/config, secret-exposure and prompt-poisoning indicators, dependencies, prioritized findings and an executive summary.

Who it is for: AI developers deploying MCP tools & agent connectors
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Static, deterministic analysis; source treated as data; no execution, no dynamic testing.
POST /api/premium/mcp-security/full View Public Safe Sample ↗

MCP Deep Evidence Audit

MCP Security
249 USDC Base

Orchestrated deep evidence audit: Agent Assurance + release readiness + workflow integrity across supplied artifacts, with evidence/provenance pack and detailed remediation priorities.

⚡ Structural Value Differentiation over Full ($99):

Deep ($249) performs genuine higher-order intelligence: deterministic attack-surface modeling, threat scenario evaluation (Fact/Inference/Unknown), multi-finding composite correlation, bipartite evidence graph, contradiction & uncertainty ledger, exploitability & impact matrix, prioritized remediation sequencing (P0/P1/P2 with dependency order), retest acceptance criteria, residual risk bounding, executive decision brief (PASS/REVIEW/BLOCK with rationale), and cryptographic evidence manifest.

Who it is for: Production AI systems requiring formal security sign-off, compliance, and threat modeling
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Deep orchestration runs only the engines whose inputs are supplied; no network/source fetching.
POST /api/premium/mcp-security/deep View Public Safe Sample ↗

MCP Security Team Pack

MCP Security
399 USDC Base

Three MCP/agent targets assessed with the full-audit engine in one orchestrated run.

⚡ Cross-Target Portfolio Intelligence (3 Targets):

Team Pack ($399) assesses up to 3 MCP targets with the full-audit engine (value $297) PLUS transversal portfolio intelligence justifying the remaining $102: cross-server weakness correlation, common root cause identification, unified portfolio risk heatmap, cross-target blast radius & shared dependencies, common control plan (controls remediating findings across multiple servers), and a single unified remediation roadmap.

Who it is for: Multi-agent systems, engineering teams managing multiple MCP microservices
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Max 3 targets per run; each uses the full-audit engine.
POST /api/premium/mcp-security/team View Public Safe Sample ↗

AI Release Risk Gates

Deterministic breaking change detection and gate verdicts for CI/CD pipelines.

AI Release Check

Release Risk
4.9 USDC Base

Machine-readable release-risk assessment: compatibility regressions, breaking-change signals, and a PASS/REVIEW/BLOCK verdict.

Who it is for: DevOps, CI/CD pipelines, and autonomous release review
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Deterministic static diff only; no runtime execution.
POST /api/premium/release-risk/check

AI Deep Release Review

Release Risk
19.9 USDC Base

Deeper release review: evidence, security concerns, change-risk analysis and remediation priorities across compatibility, GraphQL, webhook, API-response and changelog surfaces.

Who it is for: DevOps, CI/CD pipelines, and autonomous release review
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Static analysis of supplied artifacts only.
POST /api/premium/release-risk/deep-review

AI Critical Release Gate

Release Risk
49 USDC Base

High-value release gate: comprehensive evidence, security/risk findings, affected areas, blockers, remediation and a professional report with a PASS/REVIEW/BLOCK verdict.

Who it is for: DevOps, CI/CD pipelines, and autonomous release review
Input: Direct JSON payload (e.g. tools, server_url, config, card, manifest, previous, current). Untrusted input is treated as DATA only.
Output: Machine-readable JSON + Human-readable Executive Markdown Report.
Scope: Deterministic static assessment of supplied artifacts.
Limitations: Verdict reflects detected regressions only; not a security guarantee.
POST /api/premium/release-risk/critical-gate View Public Safe Sample ↗

Public-Safe Sample Reports

Inspect full verified outputs (machine JSON and executive Markdown) generated from controlled test fixtures prior to executing payments.

View All Sample Reports (/api/premium/samples) ↗

All sample reports are clearly labeled SAMPLE GENERATED FROM CONTROLLED TEST FIXTURE and contain zero private customer data or secrets.