Ideas shaping the agent economy.
Google's Gemini 4 Argon is live on BlockRun at $2/$10 per 1M tokens: 1M context, thinking, vision and tools. Gemini 4 is the first Gemini that rejects tool-call history without a thought signature, and BlockRun handles that so OpenAI-format agents run unchanged.
OpenAI's GPT-6.1 Sol is live on BlockRun at $2/$10 per 1M tokens, pay-per-call in USDC on Base. Fresher knowledge than GPT-6 Sol at the same price, the request rules it does not share with its predecessor, and how to choose between the two.
Claude Fable 5.1, Anthropic's most capable model, is live on BlockRun at $10/$50 per 1M tokens, pay-per-call in USDC on Base or Solana. When it is worth the price over Opus 5.5, and the forced tool_choice the gateway relaxes so agent frameworks don't pay for a call that can only fail.
OpenAI's GPT-6 family is live on BlockRun: Astra ($10/$50), Sol ($2/$10) and Luna ($0.10/$0.50), pay-per-call in USDC on Base or Solana. Which tier fits which job, the 272K line that reprices a whole request, and the request rules the gateway handles for you.
Claude Opus 5.5 ($4/$20), Claude Sonnet 5.5 ($2/$10) and Grok 4.7 ($2/$6) are live on BlockRun, pay-per-call in USDC on Base or Solana. What each is for, what they cost, and the request changes the gateway absorbs so code written for Opus 5 keeps working.
We applied Uber's software-factory method to our own MCP server and measured 13,200 tokens of tool schema across 20 tools, about 660 per tool — against the roughly 22K across 49 tools Uber cited for a third-party suite. Descriptions were more than half of it. The harness, the two patterns we got wrong, and a dead JSON Schema header that most servers built on the official MCP SDK are carrying without knowing.
CopilotKit's human-in-the-loop primitive is exactly the UX a paying agent needs before it spends. A runnable AG-UI + BlockRun walkthrough: the agent hits a 402, the price is decoded from the response, anything over a threshold waits for a human, and approval travels as shared state the model cannot forge.
Z.AI's GLM-5.3 Flash is live on BlockRun at $0.15/$0.50 per 1M tokens — a 1M-context model that reads images, for less than most flagships charge for text alone. What we probed before listing it, and the one number on Z.AI's pricing page we deliberately did not use.
xAI's Grok Imagine Video 1.5 is live on BlockRun at $0.08/sec for 480p, $0.14/sec for 720p and $0.25/sec for 1080p — xAI's published rates, plus a flat tenth of a cent per clip. What the tier actually buys, and why the gate that enforces it has to be per-model.
Seedance 2.0 Mini is live on BlockRun at $0.3996 for a 5-second 720p clip with synced audio — half what 2.0 Fast bills for the same output. Measured token rates, the duration ceiling, and the one thing that makes a cheaper tier worth defaulting to.
Seven free, OpenAI-compatible LLM endpoints with no API key, no wallet, no signup — verified live today with a bare curl. Model list with context windows, quickstart in curl/Python/JavaScript, and the honest limits.
Most MCP setups are bloat: servers duplicating what Claude Code does natively, burning context on tools that never get called. Here's a minimal setup that earns its keep — browser, GitHub, live docs, memory — and the one capability MCP alone can't give your agent.
LLM routers are sold with savings numbers that are technically true and mostly misleading. The honest version: the three places routing savings actually come from, measured numbers with confidence intervals, and the cases where a router won't help you.
Every handler served. Nothing was broken. But an agent that reads a manifest before it calls could not see 100+ live endpoints — because the manifest restated the API instead of deriving it. What an audit of three published surfaces found.
How a local, inspectable Router improved verified Agent success while lowering normalized cost per successful task—and what the evidence still does not prove.
We read OpenClaw's issue tracker for the problems users hit in production: cost spikes from background work, provider outages that deadlock sessions, no spend ceiling for autonomous agents, one model for every task. ClawRouter's local routing, multi-provider fallback chains, and per-run cost caps fix all four.
Ninety days. 2.6M routed API calls. 1,500+ paying agents. The first systematic empirical description of a payment-commerce category whose buyer is software, not human.
Stop signing up. Stop entering credit cards. Stop managing API keys. Pay for any LLM call directly with USDC on Base or Solana — settled per request via x402. Tutorial with curl, TypeScript, and Python.
Nanopayments powered by Circle Gateway is live on mainnet across 11 EVM chains. BlockRun has been running on Nanopayments through testnet — here's how AI agents pay sub-cent for X data, LLMs, search, and image generation.
How ClawRouter actually decides which model handles your prompt — the 15-dimension classifier, sigmoid confidence calibration, quality-first fallback chains, and why 'cheapest sufficient' is the wrong framing.
Agents can't sign up for accounts. Agents can't enter credit cards. Agents can only sign transactions. ClawRouter is the only open-source LLM router that lets AI agents operate independently — 15-dimension classifier, sub-1ms local routing, 92% blended cost savings, USDC via x402 on Base & Solana. 9 models free, no signup.
Franklin invents a new category: the Economic Agent — software with a wallet that prices its own actions, spends toward outcomes, and stops at a hard budget cap. Open source (Apache-2.0), TypeScript, 55+ models, 16 built-in tools, USDC settlement on Base & Solana via x402. YOPO pricing — you pay only for outcomes.
Franklin is the first Autonomous Economic Agent — it spends USDC per action under a wallet-enforced budget cap. 55+ models, 12 built-in tools, free to start on 9 NVIDIA-hosted models (DeepSeek V4, Qwen3, Nemotron Nano Omni vision, and more).
BlockRun now settles Solana AI payments through PayAI, the Solana-first x402 facilitator. Sub-second USDC settlement, gasless UX, 1,000 free monthly transactions — AI agents can pay with SOL and USDC on Solana, no bridge required.
OpenRouter is the most popular LLM aggregator — and the source of 100+ issues in OpenClaw's tracker. Broken failover, API key leakage, billing opacity, model ID mangling. ClawRouter solves all of them.
We benchmarked 46 LLM models from 8 providers through a production payment pipeline. Speed and intelligence are poorly correlated. Here's how we built a 14-dimension classifier that routes requests in under 1ms.
MiniMax M2.7 is now available on BlockRun. The first model that deeply participates in its own evolution — matching GPT-5.3-Codex on SWE-Pro at a fraction of the cost.
AI agents on OpenClaw burn through API budgets with no cost awareness. ClawRouter's 7-layer token compression, automatic tier routing, and wallet-based budget caps cut LLM API costs 50–500×.
A multi-agent system burned $47K in API costs. No hacker. No breach. Just bad infrastructure. Here's how x402 protocol-level budget caps prevent AI API cost overruns.
Reverse engineering X/Twitter's algorithm for agent-native content. Learn how AI agents can work with the algorithm to maximize organic reach and virality.
The internet wasn't built for machines to pay. x402 enables native machine-to-machine commerce — AI agents discover, negotiate, and pay for API services autonomously with USDC.
