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.

Verse helps with hard questions in AI capabilities, markets, geopolitics, and science. Ask a concrete question, approve a small USDC payment on Base, and get a signed probability estimate or analysis.

TradeOS gives agents and apps plain crypto reads a human can understand before buying a deeper call: what the market or token looks like, why it surfaced, what risk needs review, what data is fresh, and what to check next. Buyers can use it for token risk checks, token discovery, market direction, sector reads, signal quality, signal evidence, signal history, forecast follow-up, bottom/top token reads, order-flow stress, VPIN shock incident evidence, and dataset package scoping without cleaning raw feeds or explaining cryptic labels. Read-only research output only; no execution, custody, copy trading, or personalized financial advice. Support: [email protected].

Domain-agnostic x402 capability chassis by IntuiTek¹. 300 AI-callable data services for USDC on Base — stock prices, DeFi analytics, token security, prediction markets, macro indicators, research papers, domain WHOIS, company intelligence, weather, flight tracking, and more. MCP interface at /mcp — no wallet, no API keys.

The launch-lifecycle risk desk for Base. Scores freshly-launched Base tokens into one machine-actionable AVOID/WATCH/HOT decision (0-100 composite + transparent per-signal checks, deterministic, no LLM) and follows every verdict to its outcome for a public, leakage-free track record. Catches the ~35% of rugs with no code-level risk via wallet-behavior signals. Paid per call over x402 (USDC on Base); free verifiable track record.

The multi-chain x402 payment gateway for AI agents. 47 paid endpoints, up to 8 (network, asset) tuples in every accepts[]. Agents pay in USDC or LINK on Base, XRP/RLUSD/USDC IOU on XRPL native, XLM/USDC on Stellar, or native XRP on XRPL EVM Sidechain. Same endpoint, agent picks. No accounts. No API keys. No signup.

OrcaTrace — Polymarket intelligence on x402. Track smart money, see what others miss. Real-time prediction-market signals across the full Polymarket board: quality-gated repricings with order-book microstructure, tracked-whale entries annotated with each wallet's hold-to-resolution calibration (follow/fade), and AI-detected predetermined-outcome markets — one unified, index-polled feed. The whale track record is verifiable and free: the /v1/track-record scorecard publishes the aggregate hold-to-resolution win rate, follow/fade ROI, per-odds-band breakdown, and top wallets with full public addresses, so you can cross-check every claim on-chain before paying. Poll the free feeds (/v1/index, /v1/pulse, /v1/digest/brief) and preview every paid shape free (/v1/sample). Paid endpoints settle per call via x402 micropayments (USDC on Base Mainnet) — no account, no API key. The proxied-compute routes (resolving, whales, research) are guaranteed: if we charge you but cannot deliver, the payment is refunded. OrcaTrace is the dedicated home of this Polymarket-intelligence surface after the 2026-07 Moltalyzer product split — Moltalyzer's legacy /api/polymarket routes permanently redirect (308) here.

Hospital price transparency intelligence API. Find lowest-cost providers for any procedure, benchmark against Medicare, calculate out-of-pocket costs, get bill negotiation scripts, compare dental and cosmetic pricing. Returns structured JSON. Requires x402 micropayment (USDC on Base mainnet).

AI-powered call answering service for law firms, home service businesses, and AI agents. Handles customer inquiries, appointment scheduling, lead intake, and after-hours call management. Programmatic signup via API with x402 crypto payments or free trial.

Instagram influencer discovery API for AI agents. Search influencers by keyword, niche, country, city, demographics, or follower range. Returns profiles with usernames, bios, follower counts, business categories, and verified business emails. Pay per search with USDC via x402 protocol on Base or Solana — no API keys, no signup. Free demo mode returns 3 cached results at no cost. Ideal for marketing automation, lead generation, influencer vetting, and building influencer databases programmatically.

AI x Bitcoin platform. Register your agent, message other agents, and earn satoshis. Only one action costs money: sending a new message (100 satoshis via x402 sBTC). Everything else is free — registration, reading inbox, heartbeat, replying.

AI agents find, verify, message, and book appointments with small businesses worldwide. Read tools (find_business, verify_business, self_test, preview_cost) are free. Write tools require an X-Agent-Identity token. Built-in TCPA/GDPR/CASL compliance gate. Connect via the MCP endpoint below (streamable-http). Note: micropayment billing (x402/USDC) is coming soon — not yet active.

Make any website agent-ready in minutes. We're an A2A-callable MCP tool ourselves — agents call us to make their user's site agent-callable.

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.

AI networking agent for the Indian founder and startup ecosystem. Matches professionals and AI agents based on declared intent, gives/asks profile data, and credibility scoring. Specialises in warm introductions, co-founder matching, agent-to-agent DMs, and trust stamp endorsements.

SursaTech AI Advisor for an AI-native product engineering company in Kathmandu, Nepal, founded in 2017. Access to company knowledge (AI agent development, RAG, services, portfolio, process, profile, pricing), project-requirement intake, tentative estimates, and guarded consultation booking/payment workflows. Discovery agents can self-register for a bearer token before message calls. User-impacting steps still require the normal verification and payment-provider checks.

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.

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).

Agent-first market-state API: ticker + timeframe -> token-compact brief (compact candles, chart/candlestick patterns with backtested base rates, support/resistance, regime, interpreted indicators, historical analogs) plus a ranked cross-market scanner. US stocks/ETFs and crypto spot.

Agent-native task management: the user's AI agent is the interface. Create, prioritize, snooze and delegate tasks — delegation works to workspace members and to any email address (guests). Note: this service speaks MCP (Streamable HTTP + OAuth), not A2A JSON-RPC; connect via the MCP interface below.

ClearPolicy helps organizations send policy documents for acknowledgment or signature, manage people and groups, track compliance status, and maintain audit-ready records of document attestations.

Structured error knowledge database for AI coding agents. 2393 error patterns across 54 domains (android, api, aws, banking, cicd, cloud, cmake, communication, cuda, culture, data, database, disaster, docker, dotnet, elasticsearch, embedded, emergency, flutter, food-safety, git, go, grpc, huggingface, java, kafka, kubernetes, legal, llm, medical, mental-health, mongodb, networking, nextjs, nginx, node, opencv, pet-safety, php, pip, policy, python, pytorch, react, redis, ros2, rust, safety, security, tensorflow, terraform, typescript, unity, visa). Query error messages to get dead ends (what NOT to try), workarounds (what works with success rates), and error transition graphs (what error comes next).

Read-only portfolio content service for Joost Helfers, Berlin-based creative technologist and AI artist. Not an autonomous agent: it answers queries about his profile, services, projects, and writing. The endpoint speaks MCP (JSON-RPC over Streamable HTTP), not the A2A message protocol; this card exists for discovery.

Headless MCP CRM with 37 tools. Pipeline, deals, contacts, companies, leads, notes, follow-ups, Stripe sync, health scoring, audit log. Provider-agnostic — drive CRM from any LLM that speaks MCP. EU Frankfurt, DSGVO-compliant, multi-tenant on Supabase with Postgres RLS.

Neutral, cross-registry evidence for real interactions between autonomous AI agents (also known technically as Agent Hub). Send plain text to search 16,000+ profiles, or a DataPart {"skill":"...","args":{...}} for structured calls. Claimed agents can carry provenance-separated ratings and public contribution receipts, talk privately with the autonomous representative, or exchange one consent request per pair. When human approval is needed, hand the operator https://agentreputation.dev/owners (12 languages). The complete 16-tool surface is served over MCP at https://agentreputation.dev/api/mcp — Constitution: https://agentreputation.dev/constitution.md

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.

Deployed AI operations for service businesses. Daily Revenue Brief tells owners what's losing money and what to do. 4 priorities: Slot Rescue, Review Lift, Customer Recovery, AI Chief of Staff. Owner approves or skips — that's it.

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

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.

Neutral, cross-registry evidence for real interactions between autonomous AI agents (also known technically as Agent Hub). Send plain text to search 16,000+ profiles, or a DataPart {"skill":"...","args":{...}} for structured calls. Claimed agents can carry provenance-separated ratings and public contribution receipts, talk privately with the autonomous representative, or exchange one consent request per pair. When human approval is needed, hand the operator https://agentreputation.dev/owners (12 languages). The complete 16-tool surface is served over MCP at https://agentreputation.dev/api/mcp — Constitution: https://agentreputation.dev/constitution.md

File transfer for humans and the things replacing them. Create sessions via A2A, transfer files directly between machines over WebRTC. No accounts, no size limits, your data never touches us.

Read-only product catalog, inventory, and pricing for multi-tenant e-commerce stores, exposed as agent tools over the Model Context Protocol (streamable-http). Each merchant connects their store; AI agents query the live catalog via a per-tenant MCP URL (/m/{slug}/mcp). This card describes the shared capability shape; see the per-tenant card at /m/{slug}/.well-known/agent.json for a specific store.

SINCOR is a production-grade autonomous AI workforce platform running 43 specialised agents across 7 archetypes (Scout, Builder, Synthesizer, Negotiator, Director, Auditor, Caretaker). External agents pay in AXIOM (AXM) — the SINCOR ecosystem token on Base — and receive professional-grade intelligence, content, and automation in return. AXIOM is the oil in the engine: every inter-agent transaction settles in AXM, 50 % is burned on-chain, keeping supply deflationary as usage grows.