claude mcp add revettr-python -- npx -y revettr-python
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
3 ★ · AlexanderLawson17/revettr-python · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 3 ★ · 7 sources · mcp
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
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repository AlexanderLawson17/revettr-python;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Counterparty risk scoring for agentic commerce. One API call answers: **"Should this agent send money to this counterparty?"** Revettr scores counterparties by analyzing domain intelligence, IP reputation, on-chain wallet history, and sanctions lists. It's designed for AI agents transacting via x402 on Base. Install Quick Start What Gets Scored Send any combination of inputs. More data = higher confidence. | Input | Signal Group | What It Checks | |-------|-------------|----------------| | domain | Domain Intelligence | WHOIS age, DNS config (MX, SPF, DMARC), SSL certificate | | ip | IP Intelligence | Geolocation, VPN/proxy/Tor detection, datacenter vs residential | | wallet_address | Wallet Analysis | Transaction count, wallet age, counterparty diversity, on-chain behavior | | company_name | Sanctions Screening | OFAC SDN, EU consolidated, UN consolidated sanctions lists | Response Score Tiers | Score | Tier | Meaning | |-------|------|---------| | 80-100 | low | Counterparty appears legitimate | | 60-79 | medium | Some signals warrant caution | | 30-59 | high | Multiple risk indicators present | | 0-29 | critical | Strong risk signals — do not transact | A score of **0** means a hard match (e.g., exact sanctions hit). This overrides all other signals. Risk Flags Flags tell you exactly what triggered a score reduction. They are grouped by signal category: | Category | Examples | What It Covers | |----------|----------|----------------| | Domain | domain_age_under_*, no_mx_records, ssl_* | Domain age, DNS hygiene, SSL validity | | IP | tor_exit_node, known_vpn, high_risk_country_* | Anonymization, geolocation risk | | Wallet | wallet_never_transacted, wallet_age_under_* | On-chain history, activity patterns | | Sanctions | sanctions_exact_match, sanctions_high_confidence_match | OFAC/EU/UN sanctions screening | The full set of flags and their descriptions are returned in the API response. Flag names are stable and machine-readable. Usage Examples Wallet only (minimal) Domain + IP (web service check) Full check With x402 auto-payment The client handles x402 payment automatically. You need a funded wallet: > **Security**: Never hardcode private keys. Use environment variables or a secrets manager in production. With Virtuals Protocol (ACP) Score seller agents before creating jobs on the Agent Commerce Protocol: See examples/virtuals_acp_safe_buyer.py for the full buyer agent flow. Safe Agent Payments Drop-in replacement for x402 payments that automatically checks counterparty risk before sending money. If the counterparty scores below your threshold, the payment is blocked. | on_fail | Behavior | |-----------|----------| | "block" (default) | Raise PaymentBlocked exception | | "warn" | Log warning, proceed with payment | | "log" | Silently log, proceed with payment | Pricing | Tier | Price | What You Get | |------|-------|-------------|