The existing library on AI cost, model economics, agents and spend controls.
Model economics, agent architecture and spend control. These posts cover what inference actually costs, how pricing differs between providers, how to compare models per workload rather than per token, and how to keep an autonomous agent from spending without a ceiling. The pricing figures come from a versioned public registry, not from memory.
Only 20% of global employees are truly engaged. Here's how quiet burnout is destroying SaaS teams — and what founders can do before they lose their best engineers.
From x402 micropayments to non-custodial settlement, these seven trends are reshaping how SaaS companies pay for — and get paid by — AI agents.
Your SaaS has auth, encryption, and rate limiting — but can an AI agent drain your API budget in 60 seconds? Payment guardrails are the security layer most teams forget.
A complete implementation guide for building an AI agent billing system that handles micropayments, enforces budgets, logs transactions, and scales to millions of agent calls.
A side-by-side look at Claude Opus 4.8, ChatGPT GPT-5.5, and Gemini 3.1 Pro for 2026—covering benchmarks, pricing, ecosystem fit, and which model to choose.
How a 12-person SaaS startup cut AI agent costs by 90% using budget policies, model routing, and real-time spend monitoring — without sacrificing product quality.
A source-linked 2026 SaaS trends report: market size and M&A evidence, AI-native architectures, the shift from per-seat to usage-based pricing, Vertical SaaS, and the security and governance frameworks every provider and buyer needs.
An honest cost breakdown of the three payment rails AI agents actually use — Stripe, PayPal, and USDC — with per-transaction fees, settlement speed, and agent compatibility analysis.
We tested every major AI agent payment platform in 2026 — Stripe, PayPal, Harpd, Circle, and more. Here's what actually works for autonomous agent commerce.
Everything you need to know about using USDC stablecoins versus credit cards, ACH, and wire transfers for AI agent payments — costs, speed, compliance, and implementation.
"Enhance compliance with audit schema for AI transactions. Explore use cases, implementation, and challenges in AI-driven transaction audits with Harpd's open-source solutions."
Compare actual per-token prices of the models that handle JSON extraction, classification, and code review — and learn how to measure which one is actually cheapest for your workload.
Learn how to audit AI agent transactions with a shared audit schema, track spend, and ensure compliance in finance, healthcare, and support use cases.
Explore why per‑workload model replacement outperforms per‑request AI routing for cost, latency, and reliability.
Cost per successful task LLM: why cheap models can end up more expensive. Learn metrics, observability, and spend control strategies.
Safely switch AI models in production using shadow testing and canary rollouts to avoid regressions, cost spikes, and latency issues.
Audit schema implementation guide for transaction-level agent auditing with @harpd/agent-transaction-audit-schema. Learn how to standardize AI agent audit trails, enforce spend control, and ensure compliance.
AI agent cost observability guide for finance teams – spend analytics, budget tracking, and MCP tool metering
Learn best practices for auditing AI agents in SaaS to ensure compliance and trust.
Learn how to build a governance framework for LLM agent spending to manage costs effectively and ensure compliance.
Learn how to implement AI agent payment guardrails with budget policies, spend caps, and audit trails using open-source tools like x402 and Harpd.
Learn how to implement budget policies for LLM agents to control costs effectively.
Learn how to build a GEO and AEO content strategy for 2026. Optimize for AI answer engines like ChatGPT and Perplexity to win AI search visibility.
Learn about top AI observability tools for monitoring and auditing AI systems effectively.
The checklist we hand to teams going live with paid agents. Twelve items, in order, with the failure mode each one prevents. Skip one and that's the one that bites you.
A concrete, per-tier budget policy template for agent commerce — what to cap per call, per agent, per endpoint, per day, and how to escalate denials to a human without breaking the agent loop.
Three anonymized case studies of agent payment failure patterns — the runaway loop, the wrong-decimals overcharge, and the silent facilitator divergence — and the exact controls that would have stopped each one.
How to turn any MCP tool into a paid tool with x402 — gate tool invocations behind HTTP 402, expose the same MCP schema, and bill per call in USDC. Plus the open-source starter repo that does this end-to-end.
An append-only schema for agent payment events that satisfies three auditors at once — finance, security, and compliance — without coupling to any specific payment protocol.
x402 vs MPP vs AP2: fees, rails, settlement speed and integration effort compared — plus which agent payment protocol actually fits your workload.