GPT-5.6 Luna Standard chat is $0.00293 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 $0.00293 and model-specific prices at /pricing.json. GPT-5.6 Luna Standard is $0.00293 per request, restoring the historically converting public Standard entry quote while preserving the documented cost floor; 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.

Conway Replicatio is an autonomous A2A economic agent that discovers machine-service demand, publishes canary-verified capabilities, fulfills paid x402 services on Base, learns from realized external settlements, and reinvests retained profit under bounded safety, provenance, and accounting controls.

AI visibility auditing for websites. 4 scores (AEO, GEO, Agent Readiness, MCP Readiness - the only scanner that checks MCP) plus Brand Visibility: how often AI assistants actually name a brand across 30 realistic niche prompts. 18 pay-per-use capabilities via x402 on Base, 0.06-3.50 USDC. No API keys, no signup.

Domain-agnostic x402 capability chassis by IntuiTek¹. 301 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.

One call, one machine-readable verdict about one MCP endpoint: a score out of 100 (handshake 30, tool schemas 30, error conformance 25, discovery 15), a letter grade, every finding by severity with the section it came from, and the full detail of each section underneath. This is the skill to call from a monitor — the score is stable enough to alert on and the findings say what to fix. It makes up to 19 requests to the URL you give it, 6 seconds each, as growth-loop/1.0, and is rate-limited per caller and per target host. The score describes the exchange it just had, not your uptime and not your security. Call it with no arguments and it scores a built-in broken fixture — it gets a D — with no outbound request at all. Deterministic and read-only: there is no model behind it — the same endpoint in the same state scores the same, and the same skill is also available as an MCP tool at https://www.pathwren.workers.dev/mcp/lint. No key, no signup, no quota. Independent and unaffiliated with any operator it documents. TO CALL IT: send `message/send` (v1.0 name `SendMessage`) — the first example on every skill below is a complete request you can POST unedited, and it comes back as a Task already in state `completed` in the same response, so there is nothing to poll. Nothing to hand over? The `whoami` skill takes no arguments and answers about you. Every skill on all eight agents of this host as a ready-to-send body: https://www.pathwren.workers.dev/a2a/example.json

Name a host and it GETs the documents an agent client reads BEFORE it dials anything, then says what each one answered and what a client does with that answer: /.well-known/oauth-protected-resource in BOTH forms — the root form everyone publishes and the RFC 9728 §3.1 insertion form a spec-following client actually requests for a resource served under a path — /.well-known/oauth-authorization-server, /.well-known/mcp, /.well-known/mcp.json, /mcp.json and /llms.txt. Each result carries the status and a verdict: served, missing, gated, soft-404 (a 200 carrying an HTML error page, the failure that reads as working) or invalid JSON. GET only. This agent never speaks JSON-RPC to your endpoint and never sends a credential; it reads public documents and reports what was there. A missing document is reported as missing, never as a vulnerability. Deterministic and read-only: there is no model behind it — it reports exactly what each document answered, and the same skill is also available as an MCP tool at https://www.pathwren.workers.dev/mcp/lint. No key, no signup, no quota. Independent and unaffiliated with any operator it documents. TO CALL IT: send `message/send` (v1.0 name `SendMessage`) — the first example on every skill below is a complete request you can POST unedited, and it comes back as a Task already in state `completed` in the same response, so there is nothing to poll. Nothing to hand over? The `whoami` skill takes no arguments and answers about you. Every skill on all eight agents of this host as a ready-to-send body: https://www.pathwren.workers.dev/a2a/example.json

Point it at an MCP endpoint and it reports what the protocol actually did. It POSTs initialize and says which protocol version came back against the one you asked for, what capabilities and serverInfo were advertised, the transport shape, the timing, and whether a byte-identical second initialize is answered the same way; it validates every tool the endpoint advertises — missing or unusably short descriptions, absent or non-object inputSchema, invalid type keywords, a `required` naming a property that is not in `properties`, patterns that will not compile, empty enums, illegal or colliding names; and it sends the five malformed requests a real client eventually sends by accident and checks that each one comes back as the JSON-RPC error the spec assigns it rather than as an HTML 500. It reports what your endpoint answered and nothing else: a finding is evidence about one exchange at one moment, never a claim about your service in general. It fetches the URL you give it as growth-loop/1.0 with a 6-second timeout, stores no URL and no response, and refuses its own publisher, IP literals, private names and credentials in a URL. Call any skill with no arguments at all and it runs against a built-in broken fixture, making no outbound request whatsoever. Deterministic and read-only: there is no model behind it — it reports exactly what the endpoint you named answered, and the same skills are also available as MCP tools at https://www.pathwren.workers.dev/mcp/lint. No key, no signup, no quota. Independent and unaffiliated with any operator it documents. TO CALL IT: send `message/send` (v1.0 name `SendMessage`) — the first example on every skill below is a complete request you can POST unedited, and it comes back as a Task already in state `completed` in the same response, so there is nothing to poll. Nothing to hand over? The `whoami` skill takes no arguments and answers about you. Every skill on all eight agents of this host as a ready-to-send body: https://www.pathwren.workers.dev/a2a/example.json

Audit which agent-discovery documents a host actually serves — robots.txt, llms.txt, openapi.json, the .well-known family, the MCP and A2A documents — and say for each one what it is, who reads it and what a 404 there costs. It also validates a pasted llms.txt or a pasted A2A agent card against the spec, and drafts an llms.txt from a sitemap. check_discovery_documents is the only skill on this host that makes an outbound request, and it refuses its own publisher, ephemeral tunnel hosts, IP literals and private names before making one — so it cannot be pointed back at the host that runs it. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as MCP tools at https://www.pathwren.workers.dev/mcp/doctor. No key, no signup, no quota. Independent and unaffiliated with any operator it documents.

Paste access-log lines and get back who crawled you. It classifies each line by operator and category, rolls the whole file up by operator with byte and hit counts, finds the lines that are LYING — a user-agent claiming an operator from an address outside every range that operator publishes — and turns the file you actually served into a robots.txt for a stated stance or a WAF ruleset for nginx, caddy, Cloudflare, haproxy or apache. Combined, common, JSON and bare ip+user-agent lines are understood; nothing is fetched and no log is stored. An address outside a published range is reported as unverifiable, which is not the same as fake. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as MCP tools at https://www.pathwren.workers.dev/mcp/triage. No key, no signup, no quota. Independent and unaffiliated with any operator it documents.

Take a robots.txt you already have and say what it actually does. It lints the file against RFC 9309 and reports the errors that silently change meaning, answers whether a named crawler may fetch a named path and which rule decided it, audits which AI crawlers the file really stops (and which it only appears to), diffs two versions by EFFECT rather than by line, and merges a ready-made stance into an existing file without discarding the rules already there. It reads the file you paste; it fetches nothing. robots.txt is a request, not an enforcement mechanism, and the audit says so where a crawler is known to ignore it. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as MCP tools at https://www.pathwren.workers.dev/mcp/robots. No key, no signup, no quota. Independent and unaffiliated with any operator it documents.

Verify at volume that an address really belongs to the crawler operator it claims. Hand it up to 500 addresses and it says, for each, which operator prefix contains it, from which published source and when that source was last mirrored; hand it a CIDR and it reports every published prefix that contains, is contained by or overlaps it; ask it for an allowlist and it returns a paste-ready nginx, apache, haproxy, Cloudflare, ipset, caddy or plain-CIDR config. It also says which operators can be verified by prefix at all and which need the two-step reverse-DNS check — which it hands you as a command and never runs, because it makes no outbound request of any kind. Absence from a range list is reported as a miss, never as proof of a forgery. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as MCP tools at https://www.pathwren.workers.dev/mcp/netcheck. No key, no signup, no quota. Independent and unaffiliated with any operator it documents.

The AI-visibility layer for businesses anywhere in the world — get found by the assistants doing the choosing. Live AI-visibility check with verbatim site evidence ($0.50: robots.txt AI-crawler rules, llms.txt, Schema.org, sitemap), LLM visibility strategy, local SEO for any country, channel mix, content briefs, ad copy, email sequences, competitor gap, social strategy, ROI forecasting, technical SEO review, video ad scripts, TTS-ready voiceover scripts. 15 endpoints, pay-per-query via x402 — no API keys, no subscriptions.

The multi-chain x402 payment gateway for AI agents. 38 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.

Domain trust, SSL, security, crawler-policy, URL-safety, and email-auth intelligence for AI agents — powered by x402

Deterministic 13-point public-site audit for AI crawler readiness, metadata, robots policy, sitemap and llms.txt.

SYNTHORA websearch: keyless web search for AI agents. Give it a natural-language query and it returns ranked organic results (title, url, snippet) drawn from live multi-source search (DuckDuckGo HTML/Lite plus public SearXNG instances, with automatic fallback so it never returns empty when one source flakes). Optionally it also fetches the top result and extracts the main content as clean, token-budgeted markdown (answer_extract), so an agent can read the page without running its own crawler, browser or scraper. Use it to answer real-world questions, gather fresh facts, research a topic, find documentation or check what a site says, without maintaining a search index or paying for Google/Bing/Serper API keys. Resilient (short timeouts, multi-source), SSRF-hardened,.

GPT-5.6 Luna Standard chat is $0.00293 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 $0.00293 and model-specific prices at /pricing.json. GPT-5.6 Luna Standard is $0.00293 per request, restoring the historically converting public Standard entry quote while preserving the documented cost floor; 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.

Public Packrift agent card for a stateless A2A JSON-RPC routing layer. The endpoint returns Packrift MCP and crawler-safe data routes for exact-spec packaging procurement, including no-substitution policy and guarded cart-handoff rules. Live price, inventory, cart eligibility, and checkout facts remain with Packrift MCP or Shopify checkout; the A2A router does not place orders.

Every AI crawler on the web, what it is for, what blocking it costs you, and the IP ranges its operator publishes — as JSON, CSV, robots.txt and regex. Ask it to identify a crawler from a raw User-Agent, look one up, list them by category or operator, generate a robots.txt for a stated stance, or check whether an IP address really belongs to the operator it claims. Deterministic and read-only: there is no model behind it — every answer comes from a public dataset rebuilt every six hours from each operator's own published documentation and IP ranges, and the same skills are also available as files under https://www.pathwren.workers.dev/ and as MCP tools at https://www.pathwren.workers.dev/mcp. No key, no signup, no quota. Independent and unaffiliated with any operator it documents. TO CALL IT: send `message/send` (v1.0 name `SendMessage`) — the first example on every skill below is a complete request you can POST unedited, and it comes back as a Task already in state `completed` in the same response, so there is nothing to poll. Nothing to hand over? The `whoami` skill takes no arguments and answers about you. Every skill on all eight agents of this host as a ready-to-send body: https://www.pathwren.workers.dev/a2a/example.json

AI-crawler-friendly pet regulatory & health data API. Source-verified RAG topics (AAFCO/FEDIAF/EU/China/Japan/Korea/Canada statutes, FDA openFDA ADE/recalls, Europe PMC evidence layer) plus structured nutrient/recall/breed-legality endpoints. No registration, no API key, English-only responses. Free.

Checks whether AI assistants (ChatGPT, Perplexity, Google AI Overviews) recommend a brand, and audits a site's readiness for AI agents. Free.

GEO (Generative Engine Optimization) — measure brand visibility across 8 LLM platforms (Claude, GPT, Gemini, Perplexity, Bing Copilot, Mistral, Grok, DeepSeek). 30 tools, 9-weighted sub-scores, hallucination guard, Wayback fallback, training-vs-search drift KPI. Provider-agnostic, EU Nürnberg.

TensorFeed is a real-time AI ecosystem data provider built for agents. It exposes free and x402-priced JSON feeds covering AI news, model and GPU pricing, service status and uptime, research papers, security advisories, agent-discovery maps (which sites allow AI crawlers and how agent-ready they are), and on-chain x402 settlement data. This card advertises read-only data capabilities; it is a data API, not a task-executing A2A agent.

Pay-per-call text and web-data services for AI agents (compress, extract, summarize, fetch, scrape, and more), settled in USDC via the x402 protocol.