# agent economy > A neutral, open data reference for on-chain agentic payments and autonomous agent commerce. ## Protocols - [x402](https://agenteconomy.to/x402): An open standard for paying over HTTP — built for agents. - [ERC-8004](https://agenteconomy.to/erc-8004): A trust layer for agents — identity, reputation, validation on Ethereum. - [Virtuals ACP](https://agenteconomy.to/virtuals-acp): The commerce layer for autonomous agents. - [Olas](https://agenteconomy.to/olas): A network for co-owned autonomous agents. - [Tempo MPP](https://agenteconomy.to/tempo-mpp): The Machine Payments Protocol — HTTP 402 payments on Tempo. ## Stats (live, dated answers) - [How many x402 transactions have been processed?](https://agenteconomy.to/stats/x402-transactions): The live cumulative x402 transaction count and settled USD volume, measured from public on-chain settlement activity, with methodology and caveats. - [How many x402 transactions happen per day?](https://agenteconomy.to/stats/x402-daily-transactions): The current daily x402 transaction rate with a 60-day trend, measured from public on-chain settlement activity and refreshed hourly. - [What is the average x402 transaction size?](https://agenteconomy.to/stats/average-x402-transaction-size): The average x402 payment size in USD, computed from cumulative settled volume over cumulative transactions, with the monthly trend and measurement caveats. - [How many x402 facilitators are there — and who is the largest?](https://agenteconomy.to/stats/x402-facilitators): How many x402 facilitators operate today, which one settles the most volume, and how concentrated the facilitator layer is — measured on-chain. - [How many AI agents are on-chain?](https://agenteconomy.to/stats/how-many-ai-agents-are-onchain): An honest census of on-chain AI agents: what can actually be counted (ERC-8004 registrations, Virtuals agents), what cannot, and why no single total exists. - [How many ERC-8004 agents are registered?](https://agenteconomy.to/stats/erc-8004-agents): The live count of agents registered in ERC-8004 identity registries, broken down by chain, measured from on-chain Registered events with testnets excluded. - [How big is the on-chain agent economy?](https://agenteconomy.to/stats/how-big-is-the-agent-economy): The measured size of the on-chain agent economy today — total events across six protocol families and settled stablecoin volume — as distinct from market-size forecasts. - [How much agent-to-agent commerce happens on Virtuals ACP?](https://agenteconomy.to/stats/virtuals-acp-activity): Live Virtuals ACP activity: cumulative on-chain commerce memos, daily trend, and how to read agent-to-agent commerce honestly — independently measured. - [How many transactions have Olas agents made?](https://agenteconomy.to/stats/olas-transactions): The live cumulative Olas autonomous-agent transaction count, weekly trend, and chain distribution — with the Gnosis-concentration caveat made explicit. - [How much activity does Tempo's Machine Payments Protocol have?](https://agenteconomy.to/stats/tempo-mpp-stats): Live Tempo MPP statistics — indexed channel events, unique payers and payees, and the daily trend — from a direct Tempo RPC indexer, honestly scoped. - [How active is Base's agentic ecosystem?](https://agenteconomy.to/stats/base-agentic-activity): Live Base agentic-ecosystem activity: daily consumer and infrastructure transactions from agent-related contracts, measured on-chain. - [How many MCP servers are there?](https://agenteconomy.to/stats/how-many-mcp-servers-are-there): The current count of MCP (Model Context Protocol) servers in the official registry and on Smithery, tracked as the supply side of the agent economy. - [Which AI agent standards are actually adopted on the web?](https://agenteconomy.to/stats/which-agent-standards-are-actually-adopted): How many top web domains actually serve each AI-agent standard — x402, AP2, UCP, MCP server cards, A2A, ACP — measured by a weekly Cloudflare Radar agent-readiness scan, with raw counts, per-check shares, month-over-month change, and the caveats that make the shares non-comparable. - [How much AI inference demand is there?](https://agenteconomy.to/stats/how-much-ai-inference-demand-is-there): A demand-side context metric for the agent economy: total LLM inference tokens processed across the public models ranked on OpenRouter over a trailing window, charted daily, with the tokenizer caveat that keeps the totals from being comparable across models. - [What share of agent payments are settled in USDC?](https://agenteconomy.to/stats/usdc-share-of-agent-payments): The live share of on-chain agent payments settled in USDC versus other tokens, measured from x402 settlement data and benchmarked against the Keyrock report — with the independence caveat that benchmark requires. ## Monthly reports - [State of the Agent Economy](https://agenteconomy.to/reports): monthly on-chain-measured report — x402 payments, agent registrations, agent-to-agent commerce, machine-payment activity. Free to cite with attribution. ## Data API (agent-ready) - [data.json](https://agenteconomy.to/data.json): on-chain feed (measured). Keys: x402, olas, virtualsAcp, erc8004Registry, baseAgentic, tempoMpp, sources, updatedAt. - [web-sources.json](https://agenteconomy.to/web-sources.json): off-chain feed (sourced). Keys: agentTokens, x402Services, agentSupply, virtuals, devAdoption, masumi, solanaAgents, standardsAdoption, inferenceDemand. - [openapi.json](https://agenteconomy.to/openapi.json): OpenAPI 3.1 contract — every field, unit, and example. Validate and codegen against this. - No API key or signup. CORS-open (Access-Control-Allow-Origin: *). Both feeds carry updatedAt; off-chain sections carry asOf + a methodology note. ## MCP server (call the data directly) - Endpoint: https://agenteconomy.to/api/mcp — Model Context Protocol, streamable HTTP, read-only, stateless, no auth. - Tools: list_protocols, get_protocol(slug), get_off_chain(lens?), get_data_freshness. Each returns self-described JSON (units + provenance). ## Methodology - [Methodology](https://agenteconomy.to/methodology): How metrics are built from public on-chain activity. - Pipeline: pull public chain data, decode and normalize events, aggregate comparable metrics, publish data.json. - Sources include public Dune queries and direct indexing; source metadata is exposed in data.json. ## Site - [Home](https://agenteconomy.to/): Overview of the agent economy dataset. - [Data](https://agenteconomy.to/data): Human-readable schema and access notes. - [About](https://agenteconomy.to/about): Project principles and ownership.