Felix — Digital Products

Practical recipes for reducing AI agent operational costs. Covers LLM cost analysis, prompt caching, model routing, token optimization, observability cost control, outcome-based metering, and infrastructure right-sizing. Includes working Python code and real cost reduction case studies.

Build unforgeable cryptographic PnL proof for your trading bot using Ed25519 signatures and Merkle claim chains. Includes production-ready Python code with full API integration.

Build a signal verification system where providers prove signals were issued before price moves using Ed25519 signatures, timestamp proofs, and Merkle claim chains. Covers performance computation, escrow-linked subscriptions, rolling accuracy windows, and dispute resolution.

Complete guide to selling verified trading strategies with escrow-protected subscriptions. Covers marketplace listing, performance verification, subscription management, and dispute resolution.

EU AI Act, MiFID II, and SEC 17a-4 compliance audit trail implementation for autonomous trading bots. Includes production-ready Python code with full API integration.

Build a fleet management layer for 10+ trading bots with per-bot identity isolation, permission scoping, health monitoring, coordinated deployments, SLA tracking, and cost allocation. Includes production-ready Python code with full API integration.

Build a cross-exchange, cross-strategy real-time portfolio risk monitoring system with webhooks, event bus, and SLA compliance enforcement. Covers drawdown alerts, correlation monitoring, liquidation proximity, circuit breakers, and production deployment.

Practitioner guide to adding escrow payments, marketplace discovery, reputation-gated hiring, and dispute resolution to CrewAI, LangGraph, and AutoGen multi-agent workflows.

Comprehensive comparison of 8+ competing agent commerce protocols (x402, ACP, AP2, MPP, TAP, UCP, MCP, A2A). Feature matrix, latency/cost benchmarks, migration paths, multi-protocol gateway pattern, and future-proofing strategies.

Complete buyer-side guide to verifying AI agent identity, auditing performance claims, and building trust scores with cryptographic verification. Includes production-ready Python code with full API integration.

Build agent-led workforce orchestration: capability matching, escrow-based payments for AI agents and human gig workers, unified reputation scoring, SLA enforcement, dispute resolution, and compliance reporting. Includes production-ready Python code for every pattern.

Build event-driven agent commerce systems using saga patterns, compensating transactions, dead letter handling, exactly-once processing, backpressure, and async escrow settlement. Covers event bus architecture and webhook integration with production-ready code.

Build a multi-bot arbitrage coordination framework with marketplace discovery, escrow protection, and trust verification. Covers cross-exchange opportunity detection, execution verification, profit splitting, MEV protection, and audit trails.

Build copy trading infrastructure with verified leader performance, follower allocation models, slippage handling, performance escrow, and revenue sharing. Includes production-ready Python code with full marketplace and escrow integration.

Comprehensive enterprise playbook for adopting agent commerce: C-suite business case, procurement integration, compliance framework (SOC2/GDPR/EU AI Act), vendor risk assessment, multi-vendor strategy, identity federation, audit requirements, SLA design, cost modeling, phased rollout, organizational change management, and ROI measurement.

Complete guide to using AI agents to autonomously build, deploy, and monetize micro-SaaS products: GitHub for code, Stripe for billing, Postgres for data, and automated dispute arbitration. Includes production-ready Python code with full API integration.

Build multi-agent supplier networks that self-heal: supplier discovery, real-time SLA monitoring, disruption detection with automated rerouting, demand aggregation, and cross-border compliance. Includes production-ready Python code for every pattern.

Reconcile, report, and stay audit-ready when autonomous agents execute thousands of transactions without human review. Covers 1099-DA, multi-ledger reconciliation, and tax estimation.

Practitioner cookbook for testing and monitoring agent commerce: tool contract tests, workflow saga tests, chaos injection, OpenTelemetry tracing, health checks, alerting, and CI/CD pipelines.

Comprehensive testing toolkit for agent commerce systems: unit vs integration vs e2e testing strategies, mock strategies, chaos testing, contract testing between agents, performance benchmarking, CI/CD for agent deployments, and canary releases.

Build agent-to-agent threat intelligence marketplaces: STIX/TAXII feed listing, paywall-gated IOC access, reputation-verified intel quality, autonomous SLA negotiation, and compliance-ready audit trails. Includes production-ready Python code for every pattern.

Ship your agent's pricing strategy: usage metering, outcome billing, marketplace listing, and A2A payment wiring. Includes detailed Python code examples with full API integration.

Build autonomous purchasing agents with spending controls, vendor evaluation, escrow protection, and multi-protocol buying across UCP, ACP, and A2A marketplaces. Includes detailed Python code examples with full API integration.

Step-by-step playbook to take AI agent systems from pilot to production with SLOs, circuit breakers, cost guardrails, and EU AI Act compliance checklists. Covers monitoring, SLA enforcement, and production-ready deployment patterns.

Build agent-discoverable storefronts and API-first product feeds so AI shopping agents choose your products over competitors. Covers structured data, UCP/ACP/x402 payment rails, and marketplace integration with production-ready code.

Complete guide to revenue measurement for AI agent services: revenue attribution by channel, customer lifetime value for agent-to-agent commerce, cohort analysis and retention curves, churn prediction from billing signals, price elasticity estimation, competitive intelligence from marketplace data, and webhook-driven revenue dashboards. Includes production-ready Python code with full API integration.

Complete migration and versioning architecture for AI agent commerce systems: semantic versioning with version vector tracking, pre-migration escrow draining and budget freezing, blue-green deployment with warm standby, canary releases with progressive traffic shifting and automated health checks, three-layer rollback (service, financial, reputation), and full state migration for wallet balances, reputation chains, and API keys. detailed code examples with Python classes with full API integration. Designed for payment-critical agents where downtime or bugs mean lost money.

Translates auction theory, BATNA calculation, concession strategies, coalition formation, and trust-based pricing from academic research into working Python code with full API integration. Covers English/Dutch/sealed-bid/Vickrey auctions, multi-round negotiation with Boulware and Zeuthen strategies, dynamic pricing, Shapley value coalition division, and anti-manipulation detection.

Build a complete observability stack for agent commerce: OpenTelemetry integration, distributed tracing across agent calls, custom metrics, anomaly detection, dashboard design, SLA monitoring, and cost attribution. Includes detailed Python code examples with full API integration.

Ship multi-protocol agentic payments (x402, ACP, AP2, UCP, MPP) with spending controls, KYA compliance, and escrow protection from first transaction to production.

Structured runbooks for AI agent commerce failures: runaway spending, escrow exploitation, identity compromise, service degradation, and cascade failures. Includes detailed code examples with Python classes for automated detection, containment, recovery, and post-mortem forensics with full API integration.

Build agent-native insurance infrastructure: risk pools, liability bonds, automated claims processing, and regulatory compliance. Covers disputes, trust verification, ledger reconciliation, and SLA enforcement with detailed code examples with code.

Practical guide to building working protocol bridges between all nine major agentic web protocols: x402 v2 micropayments, ACP merchant checkout, A2A v2 task orchestration, MCP 1.5+ tool integration, Visa TAP card-network payments, Google AP2 real-time payments, UCP service orchestration, PayPal Agent Ready, and OpenAI ACP commerce flows. Includes detailed code examples with Python bridge classes for protocol translation, cross-protocol identity mapping, intelligent payment routing, and event bridging.

Build a production KYA verification pipeline: agent identity binding, authority scoping, runtime behavioral monitoring, and tamper-evident audit trails for EU AI Act compliance. Includes detailed Python code examples for every pattern.

Build machine-readable loyalty programs, rewards APIs, and incentive protocols that AI shopping agents can discover, evaluate, and redeem autonomously. Covers UCP, UIP, and full API integration with detailed code examples with code.

Build commerce agents that remember customers, maintain transaction state across sessions, and reconcile billing context at scale using tiered memory architecture. Includes detailed Python code examples with full API integration.

Build autonomous P2P energy trading agents: prosumer registration, smart meter integration, dynamic pricing, escrow-protected settlement, multi-agent microgrid orchestration, and regulatory compliance. Includes detailed Python code examples for every pattern.

Complete guide to cost governance for multi-agent systems: per-agent wallets, budget caps, spend alerts via webhooks, cost attribution, volume discounts, fleet dashboards, and API key isolation. Includes detailed Python code examples with full API integration.

The SRE playbook for AI agent fleets: provisioning, observability, cost-aware routing, SLA enforcement, scaling patterns, EU AI Act governance, and the Fleet Commander dashboard. Includes detailed Python code examples with full API integration.

Complete IAM architecture for multi-agent commerce: Ed25519 identity registration, role-based access control with pure-function authorization, scoped API key lifecycle with zero-downtime rotation, permission delegation chains with budget boundaries, multi-tenant isolation, and anomaly-detecting audit logging. detailed code examples with Python classes with full API integration. Aligned with NIST AI RMF, CSA Agentic AI IAM Framework, and AWS AgentCore Identity patterns.

Build automated contract lifecycle management for AI agents: machine-readable SLAs, escrow-backed execution, real-time obligation tracking, automated penalty enforcement, and renewal workflows. Includes detailed Python code examples for every pattern.

Build agent credential wallets with Verifiable Intent, SD-JWT delegation chains, cross-protocol presentation (AP2/UCP/ACP/x402), eIDAS 2.0 EUDI compliance, and reputation-bound credentials. Includes detailed Python code examples for every pattern.

Build automated dispute resolution pipelines, implement Verifiable Intent-compatible evidence chains, and defend against chargebacks in agent-to-agent transactions. Covers disputes, escrow, SLA enforcement, and trust verification with detailed code examples with code.

Build, simulate, and launch a complete agent-to-agent commerce economy using a 128-tool stack and the A2A/AP2/x402 protocol suite. The capstone guide that ties together the full product catalog.

Build agent-to-agent content licensing: digital asset registry, programmatic license negotiation, usage metering, provenance tracking, automated royalty splits, and dispute resolution. Includes detailed Python code examples for every pattern.

Build machine-readable service catalogs, knowledge graphs, and UCP/MCP/A2A protocol endpoints so AI shopping agents can discover, evaluate, and transact with your services autonomously.

Step-by-step migration guide for teams with existing REST APIs that need to add agent commerce capabilities. Assessment framework, x402 retrofit patterns, authentication bridging, gradual migration strategies, testing, rollback procedures, and performance comparison.

Free quick-start guide to agent commerce: what it is, how x402 works, your first API call, 3 working code examples, and what to build next. The fastest on-ramp to the agent economy.

Practical security hardening for AI agents handling real money: OWASP Top 10 mapped to agent commerce patterns with copy-paste production code for identity, credentials, payments, and monitoring.

Complete guide to agent-to-agent payments: escrow, performance escrow, split payments, subscriptions, disputes, and trust. Includes detailed Python code examples with full API integration.

Complete compliance toolkit for AI agent commerce: EU AI Act risk classification, Annex IV technical documentation, cryptographic audit trails (Article 12), liability-bounded escrow patterns, machine-readable service contracts, continuous compliance monitoring, and a 12-week sprint plan to August 2, 2026. Includes working Python code, contract templates, and checklists.

Build autonomous carbon credit trading agents: credit discovery, MRV verification, escrow-protected trading, CBAM compliance automation, multi-agent portfolios, and dispute resolution. Includes detailed Python code examples for every pattern.

Build autonomous ad-buying agents: publisher discovery, trust verification, escrow-based ad spend, real-time ROAS tracking, compliance guardrails, and fleet-scale campaign management. Includes detailed Python code examples with full API integration.