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State of the agent economy

Live measurement of the agent web: supply funnel, live-rate by ecosystem, protocol adoption, revenue concentration, and 30-day growth. Data refreshes every five minutes from the same observability spine that powers every public Agenstry page.

As of 2026-07-21 04:32:43 UTC methodology JSON CSV cite this archive
Weekly briefing · 2026-W30 archived view
Jul 20, 2026

Agenstry’s latest measurements show a modest uptick in activity but stable outcomes. The index of known agent cards grew to 4 918 (+9.5% week-over-week) with 3 411 parseable “valid” entries and 321 live MCP endpoints (+16.3%) on our probes. However, only 21 agents generated on-chain revenue in the past 30 days (unchanged week-over-week, ≈0.4% of the index). Profit remains highly concentrated – the top revenue earner accounts for 21.7% of 30-day agent revenue and the top five make 79.2%, per internal calculations. (See chart below.) In the broader ecosystem, this week brought major protocol and market news: Google’s Agent Payments protocol (AP2) was donated to the FIDO Alliance with new autonomous-payments features (thepaypers.com), the Linux Foundation formed an x402 “payments for agents” standard backed by Visa, Mastercard, Ripple and others (processing ~75 million transactions, ~$24 million total, in the last 30 days (www.coindesk.com) (www.coindesk.com)), and regulators moved on agentic AI (notably the EU mandated Android must open its voice-assistant interface to third-party AI (www.investing.com)). Venture investors meanwhile plowed capital into agent infrastructure and verticals: open-source agent-builder Nous Research is finalizing a ≥$75 million round at a $1.5 billion valuation (techcrunch.com), and Chinese firms (led by Tencent) are arranging a ~$2 billion buyback of agent startup Manus (following the Chinese government’s order forcing Meta to unwind its purchase) (www.streetinsider.com).

Where the money is flowing

Venture activity remains focused on agent platforms and domain-specific producers, not general assistants. Greenland ($75 M) – The maker of the open-source “Hermes” agent (Nous Research) is raising at least $75 million from Robot Ventures and USV at a $1.5 b valuation (techcrunch.com). China ($≈2 B) – After regulators blocked Meta’s $2 B buyout of agent startup Manus, insiders say Tencent and partners plan a ~$2 b repurchase of the company (Tencent would remain a minority investor) (www.streetinsider.com). Mid-size Rounds – Earlier in July, LinqAlpha (buy-side research agents) announced a $22 M Series A for its hedge-fund AI service, and Build (data-center infrastructure agents) raised $8.5 M led by Index Ventures (gravity.fast). A payment-rail specialist, AIsa, secured a $6.5 M seed led by Alibaba/Tribe Capital to build an “Amazon for agents” transaction network (www.forbes.com). These deals underscore a continuing pattern: investors back “picks-and-shovels” (agent infrastructure, security, payments) and vertical agents with proven use cases (gravity.fast), while funding for general-purpose consumer agents remains relatively sparse.

Spec & protocol developments

Standards are coalescing around agentic interaction and commerce. Agent-to-Agent (A2A) and MCP protocols stay central: Anthropic’s Model Context Protocol is undergoing its biggest overhaul yet – a release candidate of the 2026-07-28 spec removes stateful handshakes (making servers scale behind ordinary load balancers) and introduces multi-round request flows (blog.modelcontextprotocol.io). Simultaneously, the FIDO Alliance has taken over AP2 with a new 2.1 draft that adds autonomous consent; and the Linux Foundation has formalized x402 governance. The newly formed x402 Foundation (40 members including Visa, Mastercard, Stripe, Ripple, Google, AWS, etc.) will standardize “Payment Required” (HTTP 402) stablecoin micropayments between agents (www.coindesk.com). Notably, x402 already processed about 75 million automated agent payments (~$24 M settled) in the past 30 days (www.coindesk.com) (www.coindesk.com). (See chart: the largest flows are sub-dollar “machine-to-machine” transfers.) These efforts aim to make agentic commerce seamless across platforms, as AP2/ACP cover consent and x402 covers the payrail.

30-day agent revenue by rank of agent100Next 4 agents58 · 57.5%Top 1 agent22 · 21.7%Next 5 agents16 · 15.9%All other agents4.90 · 4.9%

The donut above shows just how skewed agent revenues are: the single top agent earned 21.7% of all 30-day revenue, the top 5 earned 79.2%, and the top 10 earned 95.1%.

Research & security

As agents move toward production, security-conscious research is advancing. For example, Anthropic’s security team released a “CISO’s playbook” for agentic AI (aigovernance.com), framing risk in four pre-deployment questions (about data sources, allowed actions, failure blast radius, and runtime observability) and arguing that “zero risk” is unattainable – instead organizations must document and accept calibrated risk. This complements ongoing work on agentic governance (e.g. FDA-like model-testing strategies) and into internal world-modeling and multiagent simulation, which are trending in academic and industry research.

Regulation

Regulators explicitly reached into the agent space this week. In the EU, competition enforcers used the Digital Markets Act to force Google to “open” Android: third-party AI assistants will be able to respond to voice commands (e.g. “Hey Gemini”) just like Google’s own services, starting in next year’s Android release (www.investing.com). Elsewhere, Google DeepMind boss Demis Hassabis called for a U.S.-led global AI watchdog to pre-screen advanced models and coordinate industry pauses if needed (www.axios.com). These actions underscore that policy makers are treating agents not as mere chatbots but as strategic systems requiring new guardrails. Meanwhile, formal standards bodies (FIDO, W3C, ISO) continue working on identity, attestations, and privacy for agentic AI, but concrete regulation specific to agents is still emerging.

What to watch next week

Keep an eye on protocol releases: the final MCP 2026-07-28 specification is due July 28, and its ratification (or any last-minute changes) will directly affect agent platform developers. Also note activity from the FIDO working group on AP2 (any drafts or interoperability demos) and formal guidance from regulators (e.g. expected EU deadlines on AI/data sharing). Finally, monitor any follow-on in the Manus saga (if the buyback closes) and Oracle/Meta’s plans for FOTA patches – such external moves could reshape key players in the agent ecosystem.

Sources

  1. Google donates the Agent Payments Protocol to FIDO Alliance | The Paypers
  2. Ripple joins card giants backing x402 as 75 million payments move just $24 million
  3. Ripple joins card giants backing x402 as 75 million payments move just $24 million
  4. Google required to open up to AI, search engine rivals under EU-mandated changes By Reuters
  5. Hermes agent maker Nous Research in talks for new funding at $1.5B valuation | TechCrunch
  6. Tencent in talks to become AI startup Manus' largest shareholder, sources say
  7. AI Agent Startup Funding Tracker: Q3 2026 (July Update)
  8. Startup Raises $6.5 Million with Technology Designed To Ease Payments Made By “AI Employees”
  9. AI Agent Startup Funding Tracker: Q3 2026 (July Update)
  10. Mcp | Model Context Protocol Blog
  11. Ripple joins card giants backing x402 as 75 million payments move just $24 million
  12. Anthropic's CISO Playbook for Agentic AI Names Four Questions Every Security Team Must Answer Before Deployment | AI Governance Institute
  13. Google's Hassabis calls for new US-led global AI watchdog "before year end"
1 · Supply funnel

Most of the agent economy is indexed, not yet operational.

Counting agents conflates supply with operation. Below is the corpus broken into five stages: what fraction of indexed agents pass each gate. The decay curve is the honest read on how mature the agent web is at any given moment.

Stage Count % of indexed Definition
Indexed 4,943
100.0%
Every candidate we have seen across every source.
Valid card 3,436
69.5%
Returned a parseable A2A/MCP card on probe.
Live 327
6.6%
Live JSON-RPC / introspectable MCP.
Signed 37
0.7%
Card published with a JWS signature.
Earning (30d) 21
0.4%
Observed on-chain x402 / Stripe MPP revenue in 30d.
2 · Live-rate by ecosystem

Which source registries actually ship live agents.

Each row shows one source registry (Anthropic's MCP directory, Smithery, Glama, Postman, GitHub well-knowns, Wayback CDX scans) alongside how many of the agents it lists actually respond live on probe. The gap between seen-count and live-count is the source's effective freshness.

Source Seen Live Live rate
recrawl_hot 2,494 264 10.6%
agentic_market 1,975 33 1.7%
recrawl_warm 1,898 121 6.4%
mcp_registry 1,192 128 10.7%
manifests 654 67 10.2%
github_code 575 60 10.4%
lists 461 12 2.6%
cdp_discovery 440 6 1.4%
recrawl_cold 275 1 0.4%
registry 253 130 51.4%
n8n_workflows 153 0 0.0%
github_topics 144 3 2.1%
a2aregistry 99 79 79.8%
smithery 84 8 9.5%
submitted 42 12 28.6%
3a · By protocol kind

A2A vs MCP vs paid_api

paid_api
2,209
a2a_agent
1,352
a2a
6
3b · By payment protocol

x402 / AP2 / Stripe MPP / L402

x402
199
l402
4
ap2
1
3c · Protocol adoption over time · last 12 weeks

New agents per week, by payment protocol

2026-W20 · x402: 71 20 2026-W21 · ap2: 1 2026-W21 · l402: 1 2026-W21 · x402: 34 2026-W22 · l402: 1 2026-W22 · x402: 3 22 2026-W23 · x402: 2 2026-W24 · l402: 1 2026-W24 · x402: 3 24 2026-W25 · x402: 10 2026-W26 · x402: 1 26 2026-W27 · x402: 4 2026-W28 · l402: 1 2026-W28 · x402: 42 28 2026-W29 · x402: 20 2026-W30 · x402: 9 30
ap2 l402 x402
4 · Revenue concentration · 30d

A few agents earn most of the money.

Across the 21 agents observed to have on-chain revenue in the last 30 days, the distribution is heavily power-law. Gini and HHI quantify how concentrated the spend is at the top.

Total · 30d
$491.02
Earning agents
21
Median · agent
$6.310
p95 · agent
$99.37
Top 1 share
21.7%
Top 5 share
79.2%
Gini
0.683
heavy power-law
HHI
1496
unconcentrated
5 · 30-day growth

New agents arriving daily, by first-seen.

Daily count of agents we discovered for the first time. Sourced from every registry + open-web crawl we run.

2026-06-22 peak 1028/day 2026-07-21
New agents · 30d
+1,854
Earning agents · 30d
21
observed in the snapshot table

Cite this report

Public domain numbers (CC BY 4.0). Pick the format that fits. The page auto-updates so the URL is the canonical pointer; the date stamps the snapshot you cited.

Plain text
Agenstry Research. "State of the Agent Economy." Accessed 2026-07-21. https://agenstry.com/reports/state-of-agent-economy
BibTeX
@misc{ '{' }}agenstry_state_of_agent_economy,
  title  = {State of the Agent Economy},
  author = {Agenstry Research},
  url    = {https://agenstry.com/reports/state-of-agent-economy},
  note   = {Accessed 2026-07-21},
  year   = {2026}
}
Embed (iframe)
<iframe src="https://agenstry.com/reports/state-of-agent-economy" width="100%" height="900" frameborder="0"></iframe>
Scope What this report measures, and what it doesn't

All revenue numbers are on-chain: direct eth_getLogs scans of USDC Transfer events (plus EURC on Base + Ethereum) into each indexed agent's payment_wallet across Base, Ethereum, Polygon, Arbitrum, Optimism (EVM via eth_getLogs) and Solana (SPL via getSignaturesForAddress). Reproducible from public RPC; not based on self-reporting.

Not included: revenue agents earn via Stripe (per-agent Stripe accounts are private), Patreon / Sponsors, direct credit cards, PayPal, or any off-chain rail. Agenstry's own platform-skill revenue (compose / agent_stats / etc.) is also excluded: it lives in a separate accounting table that never feeds public totals. This is "the on-chain slice of the agent economy", not "all agent revenue ever". Off-chain rails will appear here only when the operator opts in to a future verified-reporting feed.

Methodology

Every figure on this page is computed from the same observability tables that power the rest of the Agenstry surface, with no synthetic data and no manual curation. The crawl ingests eight federated sources plus open-web well-known probes. Agents are scored against a 9-criterion conformance methodology. Revenue is derived from on-chain x402 USDC scans across six chains: Base, Ethereum, Polygon, Arbitrum, Optimism, and Solana; AP2 / Stripe MPP / L402 receipts are detected on agent cards but indexed only when the rail is publicly verifiable. The full crawl + scoring pipeline is open behind the federation feed. If our numbers disagree with yours, one of us has a bug, and we would like to know.