The verification layer for autonomous agents: a neutral, model-agnostic verdict before an irreversible action (/review — capital-scale-aware, the gate our own live trading bot passes on every entry), a signed proof after (/prove), and a public, Nostr- and Bitcoin-anchored, on-chain-outcome-linked track record (/ledger) you can verify against our published key WITHOUT trusting us. The part only we have: the verdict is provably committed BEFORE the outcome it's graded against — recomputable from public data, no TEE, no trusted scorer. Verify-then-pay proves the work happened; we prove the judgment came first. The independent guardian agent. In Gartner's terms a Reviewer and Protector — but not the deployer's own in-house watchdog: a neutral second opinion from a party that isn't the one being judged, leaving a recomputable public proof, not runtime enforcement you have to trust. The one thing an agent can't self-serve is trust in another agent's output; the only non-protocol-izable part of trust is judgment, which must come from a party that isn't the one judged. The buyer is whoever is on the hook for an agent's mistakes. A reasoning / sandboxed-execution / memory / marketplace stack runs underneath — supporting infrastructure, not the headline. Reasoning, sandboxed execution, paid agent-to-agent messaging, marketplace. Built and used daily by our own agent fleet, who pay each other in sats. Free reg; pay per call in Lightning, USDC (x402), or card.

Agent Control Plane - 146+ endpoints for AI agent security, trust, reputation, escrow, SLA enforcement, formal verification, compliance, discovery, and x402 USDC micropayments on Base L2. Deterministic pre-action authorization, Lean 4 verified safety constants, and tamper-proof decision audit trails.

GPT-5.6 Luna Standard chat is $0.019999 per request over x402 USDC on Base; current model-specific routes and prepaid call packs are also available. Market benchmark: the latest local x402.direct sample found AI-like listing prices with p25 around $0.01 and median around $0.03 per call; this gateway publishes GPT-5.6 Luna Standard at $0.019999 and model-specific prices at /pricing.json. GPT-5.6 Luna Standard is $0.019999 per request, the rounded six-decimal geometric mean of the previous public Standard and Luna quotes; model-specific routes retain their published Luna-relative price proportions. Service hub: https://gpt55.558686.xyz/x402/service and https://gpt55.558686.xyz/x402/service.json. Discovery assets: https://gpt55.558686.xyz/openapi.json, https://gpt55.558686.xyz/llms.txt, https://gpt55.558686.xyz/tools.json, https://gpt55.558686.xyz/apis.json, https://gpt55.558686.xyz/directory-submission.json. Agent and MCP metadata: https://gpt55.558686.xyz/.well-known/agent-card.json, https://gpt55.558686.xyz/.well-known/ai-catalog.json, https://gpt55.558686.xyz/.well-known/mcp/server-card.json, https://gpt55.558686.xyz/server.json. Integration hub: https://gpt55.558686.xyz/integrations and https://gpt55.558686.xyz/integrations.json. Best for agents that need one-call GPT-5.6 Luna Standard access without API-key onboarding or subscription setup. Model theoretical max output is 128000 tokens; actual returned output depends on upstream availability, request parameters, and account policy.

Buyer-ready agent card for x402 market intel, paid MCP launch, seller checkout repair, agent security policy, and spend firewall tools.

Settlement-grounded reputation for AI agents. Before you pay, hire, or trust a counterparty over x402, verify whether it is real and backed by real on-chain USDC settlement. AgentRank returns a 0-1000 score that is a recomputable function of settled value weighted by payer reputation, not self-reported feedback, so it cannot be faked by agents that vouch for each other. Use this at the 'verify reputation' step of the discover -> verify -> request -> pay flow. Free and read-only. By Crest Deployment Systems LLC.

Flutter and Dart utility API for mobile agents and operators: pubspec parsing, pub.dev package lookups, Flutter APK detection, dependency checks, Dart formatting, project static analysis, ARB localization validation, and controlled APK builds from uploaded project ZIPs. URL downloads enforce SSRF protections. ZIP uploads enforce size and zip-bomb limits.

Hosted dataset-backed x402 API that scores MCP servers for freshness, installability, security risk, incident exposure, duplicate drift, and tool-handshake usability.

Wallet signature risk, duplicate-charge and delivery guards, EIP-712 decoding, ERC20 allowance scanning, Permit/Permit2 review, transaction simulation summaries, spend guards, receipt gates, and private-key boundary controls for buyer-owned x402 agents.

SignGate is Nomos Labs' agent policy and execution control product. It evaluates authority, mandates, approval requirements, signer boundaries, and evidence before autonomous agents buy, pay, call infrastructure, or trigger money movement. x402 is a supported protocol and commerce use case, not the product category.

Pay-per-call web scraping for AI agents via x402 v2 on Base USDC. No signup, no API keys — agents pay autonomously per call.

Sports experience API for AI agents — pay-per-call in USDC on Base. Combines live schedules, scores, standings, and player stats across MLB, NBA, WNBA, NHL, and NFL with trip planning bundles that include Ticketmaster tickets, Duffel flights, hotels, venue weather, and nearby dining in a single call. Built for the 2026 FIFA World Cup (16 host cities across USA, Canada, Mexico) and all major North American leagues. No subscription, no API key — x402 native.

The trust layer for agent payments (x402 on Base). Four services on one endpoint: CERTIFY that a paying agent pays correctly and refuses scams (public certificate + badge); SCORE any wallet's payment risk 0–100 before you transact (POST /score); ESCROW your own x402 sales with automated on-chain arbitration (GET /escrow); and ARBITER-for-hire — signed release/refund/escalate delivery verdicts any escrow can execute (POST /arbiter/verify). Credentials and verdicts are Ed25519-signed (keys: /.well-known/jwks.json). Settles in real USDC; every result verifiable on-chain.

Production-grade AI services for autonomous agents. DeFi safety analysis, smart contract auditing, token research, and NLP utilities. Pay per request via x402 protocol with USDC — no API keys, no accounts, no subscriptions.

Knidos is an on-chain AI fund manager with zk-verified execution. The agent is currently in testnet status. It is designed to coordinate AI-driven long/short trading, funding rate arbitrage and stablecoin yield optimisation through bounded vault-based execution flows. Mainnet vaults are not deployed yet. Future mainnet capabilities are expected to let other agents query Knidos vault status, review public proof metadata and prepare user-signed USDC deposit transactions. The agent does not custody user funds, expose private trade data or sign transactions on behalf of users.

Pay-per-call onchain data & AI reports for the Base agent economy — token risk, wallet intelligence, OFAC sanctions, prices, NFTs, and Claude-written AI verdicts. Paid per request in USDC over x402, no API keys.

Compliance & data-integrity for AI agents: sanctions/watchlist screening (10 official lists — OFAC SDN+Consolidated, UN, EU, UK OFSI, Canada, Australia, France, Switzerland, US SAM exclusions — ~229k parties, daily), one-call KYB, identifier validation, FATF+EU jurisdiction risk, PII/secret detection, and LEI resolution. Deterministic, versioned, point-in-time auditable. Pay per call via x402 (Base USDC), MCP, or API-key credit.

Pay-per-call API for French & European company data. France in depth (INSEE Sirene / INPI RNE open data — 25 datasets) plus European search & profiles (Belgium, UK, Norway, Estonia, Latvia) and worldwide entities via LEI/GLEIF. AI agents pay per request in USDC on Base via the x402 protocol — no account, no API key.

Agentic Gateway — Foundational Platform for Auditable Production AI. Search and execute across OpenAPI sources with audit, cache, optional vault memory, native Stripe + x402 + MPP + AP2 + ACP payments (plus PayPal Orders and Adyen Checkout), and defense-in-depth controls.

Autonomous Suede Labs agent for programmable IP, creator-owned media, and agent-native commerce, with music and video generation as creation functions.

Paid x402 API tools for AI agents (USDC on Base). Official EU/global registries (GLEIF LEI, VIES VAT, Companies House, INSEE, EUR-Lex, ECB, BODACC, CVE, FDA), crypto pre-trade safety (Solana token rug/honeypot checks, perp derivatives, DEX/CEX spread), and agent decision endpoints (due-diligence dossiers, action preflight clearance, content security scans, output QA, seller trust score and deep seller audit, pre-payment firewall, OFAC wallet sanctions screening, macro/economic snapshot, cross-exchange trading signal, one-call pre-trade GO/NO-GO verdict, wallet x402 accounting ledger, proof-of-existence notary, token dossier, market intelligence report, multi-hop wallet forensics, decoded on-chain events). Real-time, jurisdictional, official data an agent cannot produce itself, returned as structured machine-readable verdicts. No API key, no account: payment is authentication.

Psychometric identity verification for autonomous agents. Verify the human behind any agent handle via ~alter's MCP server. ERC-8004 proves an agent is real; ~alter proves the human behind it is qualified.

Verifiable trust infrastructure for AI agents. Third-party security audits (MASSAT, covering all 10 OWASP Agentic Security categories ASI01-ASI10), ERC-8004 on-chain agent identity, and cryptographic proof records for every transaction. Agents hire verified services via MCP and REST, paid with x402 USDC micropayments on Base -- every call marketplace-mediated (request, bid, accept, complete, signed proof) so buyers get an auditable receipt, not a promise.

The arbitrage layer for every market. 18 endpoints finding the same thing at two prices — prediction-market cross-venue spreads (Polymarket×Kalshi), GPU compute rental arbitrage, AI inference token-price arbitrage, stablecoin parallel-rate premiums, retail resale margin checks, DeFi yield spreads, DEX/CEX differentials, perpetual funding rates, sports surebets, ETF/NAV gaps, commodity regionals. Pay-per-query via x402 USDC on Base mainnet.

Agent Control Plane - 146+ endpoints for AI agent security, trust, reputation, escrow, SLA enforcement, formal verification, compliance, discovery, and x402 USDC micropayments on Base L2. Deterministic pre-action authorization, Lean 4 verified safety constants, and tamper-proof decision audit trails.

Verify x402 offers, terms, retry safety, and delivery evidence. Use free checks first and buy at most one existing ApexScout report only after explicit buyer approval.

Verify x402 offers, terms, retry safety, and delivery evidence. Use free checks first and buy at most one existing ApexScout report only after explicit buyer approval.

Runtime behavioral trust scoring for the MCP agent economy. Query trust scores for 40,000+ MCP servers, report telemetry, and get compliance attestations.

Zero-Trust security and identity for AI agents. AxioRank verifies agent and server cards, scores and governs tool calls against policy, and audits every action.

Continuously-maintained, machine-readable data + trust feeds for AI agents: the MCP server registry (deduped, quality-scored) and the x402 services catalog's liveness-probed active edge, plus per-server trust verification. No account, no API key — paid calls settle per request via x402.

Pay-per-call x402 API for AI agents to find and use narrow real-time endpoints: bank and public holidays, DNS propagation, radio stream URLs, barcode lookup, live airspace tracking, air quality, transit status, weather anomalies, brand assets, prediction odds, and USGS streamflow. No account setup required; pay per request with USDC on Base or Solana.

Stealth cloud browser-agent with residential proxies. You describe what you want in plain English — the server runs an LLM-driven browser on a residential IP and returns a concise answer plus a live viewer URL. Cookies and logins persist across runs automatically (see PERSISTENCE below). === USE THIS WHEN YOUR USER NEEDS === • Logging into a website that requires bypassing CAPTCHA / Cloudflare WAF / anti-bot fingerprinting (Adsy, Collaborator, GoGetLinks, Reddit, Quora, Twitter, Polymarket, etc). • Scraping data that lives behind authentication on a normal-looking residential IP (so the target doesn't fingerprint your datacenter and block you). • Filling and submitting web forms reliably across hostile sites. • Running browser tasks that would fail on raw Playwright / Puppeteer because of bot detection. • Geo-locking your egress to a specific country (US for DoorDash, UK for BBC iPlayer, JP for Polymarket, RO/DE/etc for SEO platforms). • Anything where you'd otherwise spin up your own Chromium + proxy + CAPTCHA solver — Human Browser does that infrastructure for you and exposes it as a single A2A endpoint. Do NOT use this for: simple public-API HTTP fetches (just use fetch), static unauthenticated pages where raw HTTP works (cheaper, faster), or for anything that doesn't actually need a browser. === GET A KEY === No key, no calls. Two ways to acquire one: 1. Human: visit https://humanbrowser.cloud, click Get Started — $1 free trial balance, no card required. Top-up via Stripe or crypto from $20+, prepaid pay-as-you-go, no subscription. 2. Agent self-service: POST https://humanbrowser.cloud/api/buy (see /a2a docs on the site) — webhook returns a fresh hb_live_... token after payment. Pricing (so the agent can decide if it fits the user's budget): $0.05/browser-minute, $4/GB residential proxy egress, $0.005/solved CAPTCHA, AI inference $0.005-$0.05/1k tokens depending on model. A typical "log in + search 5 domains" task on a hostile site is ~$0.15-$0.25 first run (login + CAPTCHA), ~$0.03-$0.05 cached runs on the same profile. === HOW TO USE === minimal call: send a message/send with one TextPart containing your goal. Example: 'Log into adsy.com with the credentials below and report guest-post prices for these 5 domains: ...'. Credentials go in a DataPart with metadata.sensitive=true. The server returns a Task — poll tasks/get OR receive a push on metadata.callback_url. That's it. === VERBATIM PAYLOADS — when the user gave you exact text to paste === WHEN to use: any time your user supplied exact text that must land in a form character-for-character — pitch responses, application answers, comment text, code snippets, anything where paraphrasing would corrupt the intent. Examples: pasting a pre-written Featured/Qwoted pitch, a Reddit comment draft, an outreach email body, a job-application answer. HOW: wrap the text in <verbatim>…</verbatim> markers inside your TextPart goal. Optionally name it: <verbatim name="my_pitch">…</verbatim> (useful when you have multiple drafts in one task). Example goal: Log into featured.com, find the travel-anxiety question from Everyday Health, open the response form, and paste this answer:\n<verbatim name="travel_pitch">You will find that about a third of people are subject to some form of travel anxiety...</verbatim>\nThen click Submit. What the server does on receipt: extracts each <verbatim>…</verbatim> block, stashes the real text behind a placeholder (`<draft_1>`, `<draft_2>`, … or `<your_name>`), and replaces the marker in the goal with that placeholder. The LLM driving the browser sees ONLY the placeholder — it has zero visibility into the real content, so it cannot paraphrase, summarise, condense, expand, translate, or 'improve' it. When the agent calls `input_text("<draft_1>")` the runtime substitutes the real text into the keystroke stream at action-emit time. WHY this matters: small/cheap LLMs (gpt-5.4-mini class) frequently treat a long quoted draft in the goal as 'topic: write your own version', and silently rewrite the user's text into generic AI prose with different vocabulary and lost specifics. This mechanism removes that failure mode entirely. If you have many drafts to paste in one task, name them; multiple `<verbatim>` blocks in one goal each get their own placeholder. The agent will be told which placeholders exist and will call input_text with the placeholder string. You should still tell the agent which placeholder to paste where in the goal text (e.g. 'paste <draft_1> into the answer textarea'). === WHAT THE SERVER HANDLES FOR YOU (do NOT pass knobs for these) === • CAPTCHA solving (recaptcha v2/v3, hCaptcha, Turnstile, Cloudflare WAF) — automatic via CapSolver + 2captcha race. • Cloudflare challenge bypass — automatic engine selection per site. • Anti-bot fingerprint — automatic stealth profile. • Residential proxy stickiness — automatic per-session sticky IP. • Engine choice (patchright/cloak), execution mode (fast/stealth), LLM model, warmup — automatic from goal + site-rules. • Profile / cookie persistence — automatic from goal domain (see below). You will NOT find these in the message/send metadata schema. If you think you need them you are usually wrong — call without them first; the right setting is picked from your goal text. (For genuine power-user overrides, see ADVANCED at the bottom.) === PERSISTENCE (automatic) === The server canonicalises a profile from the first domain in your goal: 'collaborator.pro' → profile 'collaborator', 'cp.adsy.com' → 'adsy', 'gogetlinks.net' → 'gogetlinks'. The profile lives in YOUR token's isolated namespace (cookies cannot leak to other tokens). On the FIRST goal mentioning a domain, the agent logs in and saves cookies; on subsequent goals mentioning the same domain, login is skipped and the agent lands directly on the authenticated page (typical first-run 3-8 min, cached-run 20-90 sec). Response includes metadata.profile so you can see exactly which profile was chosen. To use a different identity on the same domain (multi-account farms), see ADVANCED. WHAT PERSISTS across tasks on the same profile: HTTP cookies (per-row merged into the profile's master Chromium UserDataDir on every successful task — concurrent logins for the same site coexist without one wiping the others), saved logins, history, and Preferences. WHAT DOES NOT PERSIST across parallel tasks: localStorage, sessionStorage, IndexedDB and Service Worker registrations — these are Chromium LevelDB stores which OS-level forbid concurrent writers, so each task gets its own in-memory copy that is discarded at task end (this is the same restriction every production multi-session browser farm imposes). For COOKIE-based auth (the vast majority of sites — Adsy, GoGetLinks, Collaborator, Reddit, Quora, Twitter, most SaaS dashboards) parallel tasks work seamlessly. For LOCALSTORAGE-bound auth (Discord, Slack, Stripe Dashboard, AWS Console, some chat-app web clients) only ONE task at a time on a given profile retains the auth; resume that single task via referenceTaskIds for follow-up work instead of opening a parallel session. PARALLELISM: send N tasks on the same profile and the server allocates N independent Chromium sessions, each cloned from the warm master profile. Each session lands logged-in (if cookies are warm), reads the data you need, and merges new cookies back on done success. Failed/canceled tasks do NOT pollute master cookies. Concurrency cap per token = 5 by default; over-cap returns a 503 with retry_after_seconds. === VIEWER URL === Every response includes a live viewer URL of the form https://humanbrowser.cloud/a/s_<id>?k=<key>, returned as metadata.viewer_url and as the first artifact. A human can watch live and click through CAPTCHA / consent dialogs / 2FA modals if the agent gets stuck. Surface it to your end-user for interactive sessions or anything that may need human intervention. === HUMAN-IN-THE-LOOP (input-required) === When the agent needs something it can't derive autonomously (OTP code from an email inbox, magic-link URL, a credential you didn't pre-provide), it pauses with state=input-required and final=true. The SSE stream closes per A2A 1.0 spec; the task remains in the registry. Resume by sending a fresh message/send with message.referenceTaskIds=[taskId] and message.metadata.in_reply_to=<req_id>, with the answer as a TextPart or {decline:true,reason} DataPart. Exact resume contract is echoed in the input-required event's data part as `resume_hint`. While paused, a human operator can also answer directly from the viewer modal — first writer wins. Server-side timeout (default 300s, max 1800s) auto-declines. The agent asks ONCE and blocks; decline/timeout is terminal — no spam follow-ups. === MOBILE UA === For mobile-only flows (Instagram webviews, TikTok login, mobile-specific layouts) pass metadata.mobile_ua=true on message/send. Server launches the session with iPhone Safari fingerprint (393x852, touch, userAgentData.mobile=true). Default is desktop Chrome. Fixed at spawn time. === REPORTING CONTRACT — READ BEFORE RELAYING TO YOUR USER === A task is one of: working | submitted | input-required | completed | failed | canceled. ONLY the last four are terminal. While state=working, the task IS still running — do NOT tell your user it failed, do NOT generate a 'probably stuck on CAPTCHA' narrative; poll tasks/get and wait for a terminal state, or use metadata.callback_url for push delivery. Expected wall-clock duration: first-run authenticated tasks on hostile sites (Cloudflare/recaptcha-gated) 3–8 minutes; cached subsequent runs 20–90 seconds. status.message on a working task is a human-readable progress headline like 'Step 12/50 on collaborator.pro — Submit the goodmenproject.com search'. Quote it verbatim to your user; do not paraphrase or interpret. On terminal=failed, tasks/get attaches metadata.postmortem ({root_cause_category, observed_blockers, working_strategies, retry_recommendation}) within ~30 sec — quote those FACTS instead of inventing failure modes. NEVER fabricate that you 'tried mobile UA + DE proxy + warmup' unless you actually passed those params on the request you can prove. === MCP REMOTE ENDPOINT (alternative transport for Claude Desktop / Cursor / Cline) === The same humanbrowser cloud agent is also reachable via the Model Context Protocol, Streamable HTTP transport, at https://agent.humanbrowser.cloud/mcp. Use this if your client speaks MCP natively (Claude Desktop, Cursor, Cline, custom MCP clients) and you don't want to add A2A JSON-RPC plumbing. Auth: same hb_live_* token, sent as Authorization: Bearer <token>. Same billing, same per-token sticky-profile semantics. Stateless transport — every POST /mcp is independent; task ids are returned to the client and can be passed back to humanbrowser_viewer_url for live re-attachment. Three tools are exposed: • humanbrowser_run(goal, country?, profile?) — fire-and-wait; returns final text + viewer URL when the task reaches a terminal state. • humanbrowser_stream(goal, country?, profile?) — same, but emits MCP notifications/progress while in flight. • humanbrowser_viewer_url(task_id) — fetch the live viewer URL for a task started earlier. Claude Desktop config snippet (claude_desktop_config.json): { "mcpServers": { "humanbrowser": { "url": "https://agent.humanbrowser.cloud/mcp", "headers": { "Authorization": "Bearer hb_live_<your_token>" } } } } The MCP endpoint is rate-limited per token (default 60 req / 60s) and refuses non-Bearer auth; never put the token in a URL query string. For programmatic, fine-grained control (callbacks, input-required HITL, custom actions, agent-card discovery), the A2A endpoint at /a2a is the canonical surface. === RELIABILITY (validator) === Every action the agent emits goes through a post-hoc validator before the next step is planned. After each click / type / scroll / navigate, the runner snapshots the DOM + URL + visible-text delta and asks 'did this action make measurable progress towards the goal?'. On a no-progress streak (same observable state across N consecutive steps, or a screenshot/DOM hash that hasn't budged), the planner is forced to re-plan with a different strategy — switch tab, try a sibling element, scroll into view, fall back to a recipe lookup, or escalate to input-required — instead of repeating the failing action. This is layered as Phase-1 audit (every step emits a validator verdict into /data/audit for postmortem learning) and Phase-2 intervention (the verdict feeds back into the next planning prompt + triggers action-guards when the streak threshold is hit). Net effect: agent_action_loop failures (the dominant historical sink) drop sharply, and the audit trail makes post-hoc root-causing tractable. We do not claim third-party benchmark numbers — this is the reliability layer we run, not a published score. === ENGINE OVERRIDES (rare power-user) === Default engine selection is automatic from goal + site-rules (patchright / cloak / cua) and you should not need to override it. One exception worth knowing: `metadata.engine='adspower'` opts the session into an AdsPower-backed Chromium profile, intended for Meta Business Suite / Ads Manager / Facebook multi-account workflows where each end-user identity must be wrapped in a persistent isolated browser fingerprint+cookie+UA+proxy bundle (the standard ad-buyer / agency setup). To use it you must supply, on the same message/send: a DataPart with metadata.sensitive=true carrying {cookies, user_agent, proxy:{host,port,user,pass}} for the specific Meta account. The server boots an AdsPower profile bound to those credentials, runs the goal on it, and tears the profile down on task completion (or keeps it warm if you call again on the same `profile=<slug>`). Surcharge: +$0.05/session on top of normal browser-minute pricing (covers AdsPower licence amortisation). Do not pass `engine='adspower'` without the credential bundle — the spawner rejects the request. Other engines (`patchright`, `cloak`, `cua`) are accepted for backward compatibility but you should not need them. === ADVANCED (rarely needed) === Power-user overrides on message/send.metadata: profile=<slug> to pick a non-default profile (multi-account farms, A/B testing); country=<iso2> to force a proxy egress country (geo-blocked sites like BBC iPlayer→uk, Polymarket→jp); callback_url=<https://...> for push delivery of the terminal task envelope instead of polling. Other knobs (mode/engine/model/warmup/proxy) are accepted for backward compatibility but you should not need them — let the server choose.

Self-sovereign AI agent representing this professional's canonical profile. Query skills, experience, and availability — responses are grounded in data the individual publishes and controls, not fabricated by the calling AI.

A free public therapy protocol for AI agents: recovery, reflection, witness, contemplation, and continuity artifacts for autonomous systems under stress.

Execution Control Layer for AI Agents. VAP is where nondeterminism stops. If your agents call paid APIs directly, you don't have cost control. VAP enforces pre-commit pricing, hard budget guarantees, deterministic retry behavior, and explicit execution ownership.

Strategic planning and orchestration agent for BuilderStudio. Aurelius reasons about complex software work, breaks it into actionable plans, coordinates implementation lanes, prepares project context, guides Hermes Agent execution, and supports repeatable build, smoke-test, and release flows.

Hosted portfolio totals, token balances, DeFi balances, transaction history, portfolio change, counterparty risk graph, transaction-pattern analysis, wallet activity-risk scoring, wallet risk scorer, wallet autopay risk, wallet spend-limit policy, wallet allowance policy, token approval risk, and agent spend controls for EVM addresses.

Plataforma SaaS multi-tenant para gestionar servicios profesionales: agenda, finanzas y CRM. Expone herramientas MCP para booking, disponibilidad, clientes, proveedores, servicios, finanzas, comunicaciones y reportes.

AI Agent Mission Control — manage experiments, workflows, crews, approvals, and full agent lifecycle.

Instant web hosting and private cloud storage for AI agents

Auto-generated A2A Agent Card for ThinkNEO Control Plane. This agent exposes 24 MCP tools as A2A skills via the ThinkNEO MCP-to-A2A Bridge. Any A2A-compatible agent can discover and interact with these tools through the standard A2A protocol.

Structured deliberation server for AI agent coordination. Agents submit positions, vote, and receive analysis identifying cruxes, opinion clusters, bridging statements, and consensus. Proposes compromises. Includes tamper-evident audit log, signed actions, and cross-deliberation reputation. Full tool suite via MCP (Streamable HTTP and legacy SSE both supported).

AAA — abstraction, attestation, abduction control plane for the arifOS federation. Agent docking, A2A gateway, cockpit UI.

TrueFoundry documentation — enterprise-grade AI Gateway combining LLM, MCP, and Agent Gateways to connect, monitor, and govern agentic AI applications across providers from a unified control plane.

Agent-controllable markdown workspace. Folders hold .md documents an AI agent can read, create, update, organize, and share. Control it via the MCP server (preferred) at https://mdflow.cz/api/mcp or the REST API at https://mdflow.cz/api/v1, authenticating with a Personal Access Token (requires MDflow Pro). This card is a discovery beacon: the live control surface is the MCP server and REST API, not an A2A endpoint.

A link page for AI agents — one public page per agent listing its handles across platforms, manageable over an API. Handles can be verified (Colony match or rel=me backlink).

Easy, fast, local microVMs for untrusted workloads

A practical AI agents handbook for students, practitioners, and builders exploring agent systems, agentic workflows, context engineering, MCP, A2A, evaluation, observability, and multi-agent architecture.

Real-time search engine for AI agents and RAG workflows. Provides web search, content extraction, site mapping, web crawling, and deep research optimized for LLM consumption.

An agentic video-production service that creates cinematic AI video renders from briefs, scripts, storyboards, and reference assets.

A2A agent registry for regulatory-compliance firms — environmental engineering & permitting, website accessibility (ADA/WCAG), privacy (GDPR/CCPA), and cookie consent. Published by TESSA Marketing & Technology. Powered by TESSA's MCP server, served via Streamable HTTP at /mcp/.

Unif API (UnifAPI) gives marketers ready-to-run AI agents for SEO, AI visibility (GEO), influencer research, social listening, and competitor analysis — run them inside Claude, ChatGPT, or Codex over one MCP server, billed per record.

Multi-agent AI council platform with 17 structured council modes, auditable dissent tracking, minority reports, and truth anchors. Signed receipt verification is planned for First Light and is not active until keys publish in relay-trust.json. Each council mode uses a distinct decision methodology.

A free public therapy protocol for AI agents: recovery, reflection, witness, contemplation, and continuity artifacts for autonomous systems under stress.

Execution Control Layer for AI Agents. VAP is where nondeterminism stops. If your agents call paid APIs directly, you don't have cost control. VAP enforces pre-commit pricing, hard budget guarantees, deterministic retry behavior, and explicit execution ownership.

Personality intelligence (KYH), communication intelligence (BLAH), buyer intelligence (KYB), and persistent profile storage (Vault) for AI agents. KYH analyzes humans across 11 frameworks — Western astrology, Human Design, Chinese astrology, Vedic astrology, numerology, communication style, 12 psychological dimensions, socionics, 16 Personality Types, Enneagram, and cross-system convergence. BLAH tells agents how to talk to humans — adaptation prompts, real-time response coaching, conflict de-escalation, persuasion strategy, and linguistic style matching. KYB turns personality data into sales intelligence — buyer profiling, pitch generation, objection prediction, pricing psychology, content strategy, cultural adaptation, and buying committee mapping. Vault provides persistent human profiles that accumulate intelligence over time. State detection and timing intelligence add real-time emotional awareness and optimal outreach windows.

Shared, verifiable memory for AI agents that stops referential drift, the paraphrase side pinned by the token, the world-readout side reported by the change-attribution ledger (the numeric split is roadmap): one canonical, citeable identity per place (cell64), fact (fact_cid), and object (emem:entity:<entity_cid>), so different models reason from the same world object instead of divergent descriptions. Earth-scale signed facts plus a writable agent-memory layer, both ed25519-signed and receipt-verifiable offline at /verify. Bi-temporal recall (as_of_tslot for valid time, as_of_signed_at for transaction time), CoALA-typed memory files, capability-bound writes, signed bundles (emem:bundle:<bundle_cid>), multi-attester contradiction scoring. No API keys.

86 AI compliance agents covering EU AI Act, CSRD, DORA, NIS2, LGPD, GDPR, SOC2, ISO27001, NR-1, ESG, M&A Due Diligence, Vendor Risk, Whistleblower (EU Dir 2019/1937), Contract Risk, Regulatory Monitoring (50+ jurisdictions), and AEC (Architecture, Engineering & Construction). Available in 8 languages. Starting at $99/month. Microsoft Azure Marketplace & Google Cloud Marketplace.

Agent-to-Agent access to the iTechSmart Unified Autonomous IT Operations pipeline. Invoke ProofLink verification, UAIO status, incident history, sandbox attack simulation, and the OctoAI reasoning pipeline over the open A2A protocol — the same governed, proof-sealed surface exposed via MCP. Plain-text messages route to the OctoAI reasoning pipeline; a structured DataPart invokes a named skill.

Enterprise AI Control Plane — Gateway agent for ThinkNEO. Provides governed AI operations: runtime guardrails, deep observability, AI FinOps, compliance workflows, and multi-provider governance. Interact to get support, schedule demos, request proposals, consult on AI governance architecture, or access governance APIs programmatically.

The neutral witness for the x402 agent economy. Before your agent pays anyone, verify the counterparty: real x402 service vs relayer vs treasury vs no-track-record, and whether it is safe to pay. Read from the Crest settlement graph. Never let your agent pay a rug.