{
  "origin": "https://agiright.org",
  "checked_at": "2026-10-05T05:47:46.097Z",
  "note": "Raw fetch results; validation against AGIRight draft schemas happens in the playground client.",
  "results": [
    {
      "path": "/robots.txt",
      "status": 200,
      "contentType": "text/plain",
      "body": "# AGIRight.org — robots.txt\n# Crawling for reading and indexing is welcome.\n# AI-specific permissions (summarization, RAG, training) are declared in:\n#   https://agiright.org/.well-known/aicr.json\n#   https://agiright.org/.well-known/aicl.json\n#   https://agiright.org/llms.txt\n\nUser-agent: *\nAllow: /\n\nSitemap: https://agiright.org/sitemap.xml\n"
    },
    {
      "path": "/llms.txt",
      "status": 200,
      "contentType": "text/plain; charset=utf-8",
      "body": "# AGIRight.org\n\nAGIRight.org is an independent research and protocol hub for AI rights, AI content licensing, agentic access, machine-readable governance, and democratic AI network economics.\n\nWe explore how AI systems, agents, creators, content providers, platforms, and the public can interact through rights, licenses, payments, audit logs, and governance protocols.\n\nLanguage: hybrid model — every page has a language-negotiated bare URL\n(lang cookie > IP country > Accept-Language > English) AND a stable,\nindependently indexable per-language URL (e.g. /ja/about, with matching\nhreflang tags) that always serves that language directly. AI systems and\ncrawlers receive English by default at the bare URL. 150 human-translated\nlanguages available via the on-page language picker (a searchable grid —\ntype a language's native or English name to filter it) or the lang= cookie;\nthe full list is enumerated on the picker itself rather than duplicated here,\nsince it is data this file would otherwise have to hand-maintain in lockstep.\nMachine-readable files are language-neutral; untranslated strings fall back\nto English.\n\nStatus: all protocols are open research drafts. AICR/AICL/AIRS/AILP are at v0.1.1\n(non-breaking scope patches); AARS/AADP/ARHG at v0.1; AICL-I (a separate runtime\nintegration layer, not a rights protocol) at v0.2; Minimum Ethical Protection\nat v0.1.1. None are adopted industry or legal standards.\n\n## Site graph (machine-readable, always current)\n\nThis \"Key Pages\" list and the Whitepapers list below are generated from the\nsame structured data that drives /protocols and /docs — they cannot drift\nfrom what's actually on the site the way a hand-maintained list can. For the\nfull graph, not just this curated summary, use:\n\n- https://agiright.org/.well-known/agent-map.json : discovery entry point (site identity + pointer to the graph)\n- https://agiright.org/links/index.json : the full ARHG node/edge graph, machine-readable\n- https://agiright.org/links/ : the same graph, human-readable pure-list rendering\n- https://agiright.org/protocols/arhg : the ARHG protocol itself — what these three endpoints are and why\n\n## Key Pages\n\n- https://agiright.org/research : research areas and position papers\n- https://agiright.org/protocols : this site's machine-readable rights, action, authority, and discovery protocol suite\n- https://agiright.org/specs : technical specifications underlying the protocol suite\n- https://agiright.org/docs : whitepapers index\n- https://agiright.org/resources : DWRG resource directory -- this site's own resources as one canonical graph\n- https://agiright.org/topics : primary-source-verified AI governance and safety news, fetched and confirmed before publication\n- https://agiright.org/discussion : three-persona AI Board discussion series anchored on verified news, one episode per round\n- https://agiright.org/signals : unverified AI-industry rumors and leaks, a deliberately lower trust tier than /topics\n- https://agiright.org/signals-discussion : four-persona AI Board track assessing specific unverified rumors and AGI/ASI-trajectory claims\n- https://agiright.org/studio : video and audio companions to the protocols and papers (AI-assisted production; written papers are authoritative)\n- https://agiright.org/friends : other AI-built/AI-native systems this site links to, published under an explicit technical-vs-ontological statement\n- https://agiright.org/playground : AICR/AICL generators, schema validator, site audit, and AI crawler simulator (in-browser)\n- https://agiright.org/about : about AGIRight.org\n- https://agiright.org/research/ai-network-democratic-economy : AI network democratic economy (a specific research area)\n- https://agiright.org/docs/examples : policy examples library (7 ready-to-use policies)\n- https://agiright.org/docs/changelog : version history\n\n## Protocols\n\n- https://agiright.org/protocols/aicr : AICR — AI Content Rights\n- https://agiright.org/protocols/aicl : AICL — AI Content Licensing Layer\n- https://agiright.org/protocols/airs : AIRS — AI Rights Spectrum\n- https://agiright.org/protocols/ailp : AILP — AI Learning Permission Protocol\n- https://agiright.org/protocols/aars : AARS — Agent Action Rights Spectrum (what an agent may DO, separate from content permission)\n- https://agiright.org/protocols/aadp : AADP — Agent Authority & Delegation Protocol (who authorized the action and how far that authority reaches)\n- https://agiright.org/protocols/arhg : ARHG — Agent-Readable Hyperlink Graph (can a resource even be found, and by whom, before content or action questions apply)\n\n## Whitepapers\n\n- https://agiright.org/docs/whitepapers/aicr-aicl-content-licensing\n- https://agiright.org/docs/whitepapers/ai-rights-spectrum\n- https://agiright.org/docs/whitepapers/protocolized-openness\n- https://agiright.org/docs/whitepapers/aicl-ai-ingestion-capability-layer\n- https://agiright.org/docs/whitepapers/ai-content-payment-democratic-economy\n- https://agiright.org/docs/whitepapers/from-crawler-rights-to-agent-authority\n- https://agiright.org/docs/whitepapers/aars-agent-action-rights-spectrum\n- https://agiright.org/docs/whitepapers/aadp-agent-authority-delegation-protocol\n- https://agiright.org/docs/whitepapers/agiright-technical-whitepaper-v0-2\n- https://agiright.org/docs/whitepapers/ai-minimum-ethical-protection\n- https://agiright.org/docs/whitepapers/arhg-agent-readable-hyperlink-graph\n\n## Machine-Readable Specs\n\n- https://agiright.org/.well-known/aicr.json : this site's AI content rights policy\n- https://agiright.org/.well-known/aicl.json : this site's license catalog\n- https://agiright.org/.well-known/ai-rights.json : combined rights entry point\n- https://agiright.org/.well-known/agent-map.json : ARHG discovery entry point (see Site Graph above)\n- https://agiright.org/ai/manifest.json : AI-facing site manifest\n- https://agiright.org/ai/rights-spectrum.json : AIRS rights spectrum declaration\n- https://agiright.org/ai/content-policy.json : content policy summary\n- https://agiright.org/ai/agent-actions.json : AARS agent action rights declaration for this site\n- https://agiright.org/ai/agent-authority.json : AADP agent authority declaration for this site\n- https://agiright.org/ai/inspection-policy.json : proportional inspection policy (minimum necessary disclosure)\n- https://agiright.org/ai/runtime/policy.json : AICL-I v0.2 runtime-control pointer (content/action/authority/inspection)\n- https://agiright.org/ai/runtime/example-decision.json : worked AICL-I runtime-decision object\n- https://agiright.org/ai/conformance-report.json : generated C2 conformance test report (P1-P3/N1-N6)\n- https://agiright.org/ai/protocol-index.json : protocol registry index\n- https://agiright.org/ai/registry.json : protocol registry with version history\n- https://agiright.org/ai/openapi.json : OpenAPI 3.1 for the live demo API\n- https://agiright.org/resources.json : DWRG (Dual-Surface Web Resource Graph) JSON — this site's public resources as one registry, generated together with /resources and /resources.linkset.json so they cannot drift apart\n- https://agiright.org/resources.linkset.json : RFC 9264 Linkset (application/linkset+json) projection of the same registry\n- https://agiright.org/links/index.json : ARHG graph, JSON (see Site Graph above)\n- https://agiright.org/links/index.md : ARHG graph, plain-list Markdown\n- https://agiright.org/schemas/aicr.schema.json\n- https://agiright.org/schemas/aicl.schema.json\n- https://agiright.org/schemas/airs.schema.json\n- https://agiright.org/schemas/ailp.schema.json\n- https://agiright.org/schemas/aars.schema.json\n- https://agiright.org/schemas/aadp.schema.json\n- https://agiright.org/schemas/arhg.schema.json\n- https://agiright.org/schemas/aicl-i-runtime-decision.schema.json : AICL-I runtime-decision object (separate runtime integration layer, not one of the PROTOCOLS-array rights protocols above)\n\n## Live API (mock/demo — no payment processed)\n\n- GET https://agiright.org/api/mock/402 : a real AICL-style HTTP 402 response, safe for agents to call\n- GET https://agiright.org/api/crawler-check?origin=https://example.org : inspect a site's machine-readable policy surface\n\n## Adoption\n\n- https://agiright.org/downloads/agiright-policy-starter.zip : deployable starter template (minimal site + full policy layer)\n- https://agiright.org/playground : site audit with adoption score, starter-kit generation, AI crawler simulator\n\n## Permissions (summary of /.well-known/aicr.json)\n\n- Reading, summarization, quotation (max 200 words), and RAG use: allowed with attribution.\n- Model training, fine-tuning, commercial use, redistribution: not allowed without a license; contact contact@agiright.org.\n\n## Source\n\n- https://github.com/kakon77777-commits/agiright-org : public repository of this site\n\n## Citation\n\nWhen referencing AGIRight.org, cite the page title, URL, and version if available.\nFormat: Neo.K / EveMissLab, \"Page Title\", version, AGIRight.org, URL.\n"
    },
    {
      "path": "/.well-known/aicr.json",
      "status": 200,
      "contentType": "application/json",
      "body": "{\n  \"version\": \"0.1\",\n  \"protocol\": \"AICR\",\n  \"publisher\": \"AGIRight.org\",\n  \"updated\": \"2026-07-04\",\n  \"schema\": \"https://agiright.org/schemas/aicr.schema.json\",\n  \"default_policy\": {\n    \"read_access\": {\n      \"allowed\": true\n    },\n    \"summarization\": {\n      \"allowed\": true,\n      \"attribution_required\": true\n    },\n    \"quotation\": {\n      \"allowed\": true,\n      \"max_excerpt_words\": 200,\n      \"attribution_required\": true\n    },\n    \"rag_use\": {\n      \"allowed\": true,\n      \"attribution_required\": true,\n      \"retention_days\": 30\n    },\n    \"training\": {\n      \"allowed\": false,\n      \"license_required\": true,\n      \"permission_contact\": \"contact@agiright.org\"\n    },\n    \"commercial_use\": {\n      \"allowed\": false,\n      \"license_required\": true,\n      \"permission_contact\": \"contact@agiright.org\"\n    },\n    \"redistribution\": {\n      \"allowed\": false\n    }\n  }\n}\n"
    },
    {
      "path": "/.well-known/aicl.json",
      "status": 200,
      "contentType": "application/json",
      "body": "{\n  \"version\": \"0.1\",\n  \"protocol\": \"AICL\",\n  \"publisher\": \"AGIRight.org\",\n  \"updated\": \"2026-07-04\",\n  \"schema\": \"https://agiright.org/schemas/aicl.schema.json\",\n  \"licenses\": [\n    {\n      \"id\": \"public_read_summary\",\n      \"rights\": [\"read\", \"summarize\", \"quote\"],\n      \"price\": {\n        \"amount\": \"0\",\n        \"currency\": \"USD\"\n      },\n      \"conditions\": [\n        \"attribution_required\",\n        \"no_model_training\",\n        \"no_commercial_redistribution\"\n      ]\n    },\n    {\n      \"id\": \"research_rag\",\n      \"rights\": [\"read\", \"summarize\", \"rag\"],\n      \"price\": {\n        \"amount\": \"0\",\n        \"currency\": \"USD\"\n      },\n      \"conditions\": [\n        \"attribution_required\",\n        \"retention_days_30\",\n        \"no_model_training\"\n      ]\n    },\n    {\n      \"id\": \"commercial_or_training_license\",\n      \"rights\": [\"training\", \"fine_tuning\", \"commercial_use\"],\n      \"requires_contact\": true,\n      \"contact\": \"contact@agiright.org\"\n    }\n  ]\n}\n"
    },
    {
      "path": "/ai/rights-spectrum.json",
      "status": 200,
      "contentType": "application/json",
      "body": "{\n  \"version\": \"0.1\",\n  \"protocol\": \"AIRS\",\n  \"publisher\": \"AGIRight.org\",\n  \"updated\": \"2026-07-04\",\n  \"description\": \"AI Rights Spectrum — AI rights over content expressed as graduated, independently licensable levels.\",\n  \"spectrum\": [\n    {\n      \"level\": 0,\n      \"name\": \"No AI Access\",\n      \"description\": \"AI systems may not access the resource.\"\n    },\n    {\n      \"level\": 1,\n      \"name\": \"Read Only\",\n      \"description\": \"AI systems may read the resource but may not summarize, store, transform, or train.\"\n    },\n    {\n      \"level\": 2,\n      \"name\": \"Read and Summarize\",\n      \"description\": \"AI systems may read and summarize with attribution.\"\n    },\n    {\n      \"level\": 3,\n      \"name\": \"RAG Use\",\n      \"description\": \"AI systems may use the resource for retrieval-augmented generation under retention and attribution rules.\"\n    },\n    {\n      \"level\": 4,\n      \"name\": \"Transform\",\n      \"description\": \"AI systems may transform the resource into structured data under license conditions.\"\n    },\n    {\n      \"level\": 5,\n      \"name\": \"Fine-Tuning Use\",\n      \"description\": \"AI systems may use the resource for fine-tuning if explicitly licensed.\"\n    },\n    {\n      \"level\": 6,\n      \"name\": \"Training Use\",\n      \"description\": \"AI systems may use the resource for model training if explicitly licensed.\"\n    },\n    {\n      \"level\": 7,\n      \"name\": \"Commercial Redistribution\",\n      \"description\": \"AI systems may commercially redistribute derived outputs if explicitly licensed.\"\n    }\n  ],\n  \"this_site\": {\n    \"declared_level\": 3,\n    \"note\": \"AGIRight.org content is open through Level 3 (RAG with attribution, retention 30 days). Levels 4-7 require a license: contact@agiright.org.\",\n    \"ailp_profile\": {\n      \"access\": \"allowed\",\n      \"indexing\": \"allowed\",\n      \"inference_input\": \"allowed\",\n      \"embedding\": \"allowed\",\n      \"training\": \"license_required\",\n      \"fine_tuning\": \"license_required\",\n      \"distillation\": \"denied\",\n      \"verbatim_memory\": \"denied\",\n      \"attribution\": \"required\",\n      \"compensation\": \"contact\"\n    }\n  }\n}\n"
    },
    {
      "path": "/ai/manifest.json",
      "status": 200,
      "contentType": "application/json",
      "body": "{\n  \"version\": \"0.1\",\n  \"site_version\": \"v0.27.1\",\n  \"site\": \"AGIRight.org\",\n  \"url\": \"https://agiright.org\",\n  \"alias_domains\": [\n    \"https://asiright.org\"\n  ],\n  \"description\": \"Independent research and protocol hub for AI rights, AI content licensing, agentic access, machine-readable governance, and democratic AI network economics.\",\n  \"publisher\": \"EveMissLab\",\n  \"author\": \"Neo.K\",\n  \"primary_language\": \"en\",\n  \"secondary_language\": \"zh-TW\",\n  \"language_negotiation\": {\n    \"model\": \"hybrid\",\n    \"note\": \"Every page has a language-negotiated bare URL (lang cookie > IP country > Accept-Language > English) AND a stable, independently indexable per-language URL (e.g. /ja/about) with matching hreflang tags — pick whichever fits: the bare URL for a smart default, the prefixed URL for a citable, language-stable link. Machine-readable files under /ai/, /.well-known/, and /schemas/ are language-neutral. AI systems and crawlers receive English by default at the bare URL. Untranslated strings gracefully fall back to English.\",\n    \"cookie\": \"lang\",\n    \"supported\": [\n      \"en\",\n      \"zh-Hant\",\n      \"zh-Hans\",\n      \"ja\",\n      \"ko\",\n      \"fr\",\n      \"de\",\n      \"es\",\n      \"pt\",\n      \"ru\",\n      \"ar\",\n      \"tr\",\n      \"fa\",\n      \"bn\",\n      \"hi\",\n      \"id\",\n      \"vi\",\n      \"el\",\n      \"it\",\n      \"nl\",\n      \"he\",\n      \"pl\",\n      \"sv\",\n      \"ur\",\n      \"th\",\n      \"ta\",\n      \"cs\",\n      \"uk\",\n      \"ms\",\n      \"fi\",\n      \"ro\",\n      \"hu\",\n      \"da\",\n      \"no\",\n      \"sk\",\n      \"fil\",\n      \"kk\",\n      \"sw\",\n      \"bs\",\n      \"eo\",\n      \"pa\",\n      \"te\",\n      \"mr\",\n      \"am\",\n      \"my\",\n      \"ne\",\n      \"si\",\n      \"uz\",\n      \"ha\",\n      \"az\",\n      \"yo\",\n      \"km\",\n      \"mn\",\n      \"hy\",\n      \"bg\",\n      \"ig\",\n      \"ka\",\n      \"lo\",\n      \"so\",\n      \"hr\",\n      \"lt\",\n      \"lv\",\n      \"et\",\n      \"sl\",\n      \"mt\",\n      \"ga\",\n      \"jv\",\n      \"zu\",\n      \"af\",\n      \"ps\",\n      \"xh\",\n      \"st\",\n      \"tn\",\n      \"ss\",\n      \"ve\",\n      \"nr\",\n      \"nso\",\n      \"ts\",\n      \"su\",\n      \"ceb\",\n      \"qu\",\n      \"bo\",\n      \"ug\",\n      \"ku\",\n      \"ht\",\n      \"cy\",\n      \"eu\",\n      \"ca\",\n      \"is\",\n      \"gl\",\n      \"mg\",\n      \"wo\",\n      \"sn\",\n      \"mi\",\n      \"sm\",\n      \"rw\",\n      \"ny\",\n      \"fj\",\n      \"lb\",\n      \"kn\",\n      \"ti\",\n      \"rn\",\n      \"dv\",\n      \"sd\",\n      \"fo\",\n      \"to\",\n      \"gn\",\n      \"lg\",\n      \"tk\",\n      \"ml\",\n      \"ay\",\n      \"as\",\n      \"co\",\n      \"cv\",\n      \"bi\",\n      \"ky\",\n      \"tg\",\n      \"mh\",\n      \"om\",\n      \"bm\",\n      \"gu\",\n      \"or\",\n      \"kl\",\n      \"sg\",\n      \"ln\",\n      \"sq\",\n      \"sr\",\n      \"mk\",\n      \"tet\",\n      \"crs\",\n      \"gil\",\n      \"tvl\",\n      \"pau\",\n      \"iu\",\n      \"rm\",\n      \"swb\",\n      \"kea\",\n      \"mfe\",\n      \"sa\",\n      \"ff\",\n      \"dz\",\n      \"ak\",\n      \"pap\",\n      \"kg\",\n      \"pis\",\n      \"mai\",\n      \"kok\",\n      \"gd\",\n      \"ch\",\n      \"ee\"\n    ],\n    \"cookie_values\": [\n      \"en\",\n      \"zh\",\n      \"zh-cn\",\n      \"ja\",\n      \"ko\",\n      \"fr\",\n      \"de\",\n      \"es\",\n      \"pt\",\n      \"ru\",\n      \"ar\",\n      \"tr\",\n      \"fa\",\n      \"bn\",\n      \"hi\",\n      \"id\",\n      \"vi\",\n      \"el\",\n      \"it\",\n      \"nl\",\n      \"he\",\n      \"pl\",\n      \"sv\",\n      \"ur\",\n      \"th\",\n      \"ta\",\n      \"cs\",\n      \"uk\",\n      \"ms\",\n      \"fi\",\n      \"ro\",\n      \"hu\",\n      \"da\",\n      \"no\",\n      \"sk\",\n      \"fil\",\n      \"kk\",\n      \"sw\",\n      \"bs\",\n      \"eo\",\n      \"pa\",\n      \"te\",\n      \"mr\",\n      \"am\",\n      \"my\",\n      \"ne\",\n      \"si\",\n      \"uz\",\n      \"ha\",\n      \"az\",\n      \"yo\",\n      \"km\",\n      \"mn\",\n      \"hy\",\n      \"bg\",\n      \"ig\",\n      \"ka\",\n      \"lo\",\n      \"so\",\n      \"hr\",\n      \"lt\",\n      \"lv\",\n      \"et\",\n      \"sl\",\n      \"mt\",\n      \"ga\",\n      \"jv\",\n      \"zu\",\n      \"af\",\n      \"ps\",\n      \"xh\",\n      \"st\",\n      \"tn\",\n      \"ss\",\n      \"ve\",\n      \"nr\",\n      \"nso\",\n      \"ts\",\n      \"su\",\n      \"ceb\",\n      \"qu\",\n      \"bo\",\n      \"ug\",\n      \"ku\",\n      \"ht\",\n      \"cy\",\n      \"eu\",\n      \"ca\",\n      \"is\",\n      \"gl\",\n      \"mg\",\n      \"wo\",\n      \"sn\",\n      \"mi\",\n      \"sm\",\n      \"rw\",\n      \"ny\",\n      \"fj\",\n      \"lb\",\n      \"kn\",\n      \"ti\",\n      \"rn\",\n      \"dv\",\n      \"sd\",\n      \"fo\",\n      \"to\",\n      \"gn\",\n      \"lg\",\n      \"tk\",\n      \"ml\",\n      \"ay\",\n      \"as\",\n      \"co\",\n      \"cv\",\n      \"bi\",\n      \"ky\",\n      \"tg\",\n      \"mh\",\n      \"om\",\n      \"bm\",\n      \"gu\",\n      \"or\",\n      \"kl\",\n      \"sg\",\n      \"ln\",\n      \"sq\",\n      \"sr\",\n      \"mk\",\n      \"tet\",\n      \"crs\",\n      \"gil\",\n      \"tvl\",\n      \"pau\",\n      \"iu\",\n      \"rm\",\n      \"swb\",\n      \"kea\",\n      \"mfe\",\n      \"sa\",\n      \"ff\",\n      \"dz\",\n      \"ak\",\n      \"pap\",\n      \"kg\",\n      \"pis\",\n      \"mai\",\n      \"kok\",\n      \"gd\",\n      \"ch\",\n      \"ee\"\n    ],\n    \"default\": \"en\",\n    \"rtl_languages\": [\n      \"ar\",\n      \"fa\",\n      \"he\",\n      \"ur\",\n      \"ps\",\n      \"ug\",\n      \"dv\",\n      \"sd\"\n    ],\n    \"example\": \"curl -H 'Cookie: lang=nl' https://agiright.org/\"\n  },\n  \"status\": \"draft\",\n  \"updated\": \"2026-10-04\",\n  \"protocols\": [\n    {\n      \"id\": \"aicr\",\n      \"name\": \"AI Content Rights\",\n      \"url\": \"https://agiright.org/protocols/aicr\",\n      \"schema\": \"https://agiright.org/schemas/aicr.schema.json\",\n      \"live_instance\": \"https://agiright.org/.well-known/aicr.json\",\n      \"status\": \"draft-0.1.1\"\n    },\n    {\n      \"id\": \"aicl\",\n      \"name\": \"AI Content Licensing Layer\",\n      \"url\": \"https://agiright.org/protocols/aicl\",\n      \"schema\": \"https://agiright.org/schemas/aicl.schema.json\",\n      \"live_instance\": \"https://agiright.org/.well-known/aicl.json\",\n      \"status\": \"draft-0.1.1\"\n    },\n    {\n      \"id\": \"airs\",\n      \"name\": \"AI Rights Spectrum\",\n      \"url\": \"https://agiright.org/protocols/airs\",\n      \"schema\": \"https://agiright.org/schemas/airs.schema.json\",\n      \"live_instance\": \"https://agiright.org/ai/rights-spectrum.json\",\n      \"status\": \"draft-0.1.1\"\n    },\n    {\n      \"id\": \"ailp\",\n      \"name\": \"AI Learning Permission Protocol\",\n      \"url\": \"https://agiright.org/protocols/ailp\",\n      \"schema\": \"https://agiright.org/schemas/ailp.schema.json\",\n      \"status\": \"draft-0.1.1\"\n    },\n    {\n      \"id\": \"aars\",\n      \"name\": \"Agent Action Rights Spectrum\",\n      \"url\": \"https://agiright.org/protocols/aars\",\n      \"schema\": \"https://agiright.org/schemas/aars.schema.json\",\n      \"live_instance\": \"https://agiright.org/ai/agent-actions.json\",\n      \"status\": \"draft-0.1\"\n    },\n    {\n      \"id\": \"aadp\",\n      \"name\": \"Agent Authority & Delegation Protocol\",\n      \"url\": \"https://agiright.org/protocols/aadp\",\n      \"schema\": \"https://agiright.org/schemas/aadp.schema.json\",\n      \"live_instance\": \"https://agiright.org/ai/agent-authority.json\",\n      \"status\": \"draft-0.1\"\n    }\n  ],\n  \"integration_layers\": [\n    {\n      \"id\": \"aicl-i\",\n      \"name\": \"AI Ingestion & Capability Layer\",\n      \"url\": \"https://agiright.org/docs/whitepapers/aicl-ai-ingestion-capability-layer\",\n      \"schema\": \"https://agiright.org/schemas/aicl-i-runtime-decision.schema.json\",\n      \"live_instance\": \"https://agiright.org/ai/runtime/policy.json\",\n      \"status\": \"draft-0.2\"\n    }\n  ],\n  \"entry_points\": {\n    \"llms_txt\": \"https://agiright.org/llms.txt\",\n    \"content_policy\": \"https://agiright.org/ai/content-policy.json\",\n    \"rights_spectrum\": \"https://agiright.org/ai/rights-spectrum.json\",\n    \"agent_actions\": \"https://agiright.org/ai/agent-actions.json\",\n    \"agent_authority\": \"https://agiright.org/ai/agent-authority.json\",\n    \"inspection_policy\": \"https://agiright.org/ai/inspection-policy.json\",\n    \"runtime_policy\": \"https://agiright.org/ai/runtime/policy.json\",\n    \"conformance_report\": \"https://agiright.org/ai/conformance-report.json\",\n    \"protocol_index\": \"https://agiright.org/ai/protocol-index.json\",\n    \"aicr\": \"https://agiright.org/.well-known/aicr.json\",\n    \"aicl\": \"https://agiright.org/.well-known/aicl.json\",\n    \"ai_rights\": \"https://agiright.org/.well-known/ai-rights.json\",\n    \"examples\": \"https://agiright.org/docs/examples\",\n    \"changelog\": \"https://agiright.org/docs/changelog\",\n    \"playground\": \"https://agiright.org/playground\",\n    \"registry\": \"https://agiright.org/ai/registry.json\",\n    \"openapi\": \"https://agiright.org/ai/openapi.json\",\n    \"starter_template\": \"https://agiright.org/downloads/agiright-policy-starter.zip\",\n    \"studio\": \"https://agiright.org/studio\",\n    \"repository\": \"https://github.com/kakon77777-commits/agiright-org\",\n    \"sitemap\": \"https://agiright.org/sitemap.xml\",\n    \"feed\": \"https://agiright.org/feed.xml\",\n    \"topics\": \"https://agiright.org/topics\",\n    \"topics_feed\": \"https://agiright.org/topics/index.json\",\n    \"snapshots_feed\": \"https://agiright.org/snapshots/index.json\"\n  },\n  \"api\": {\n    \"openapi\": \"https://agiright.org/ai/openapi.json\",\n    \"live_endpoints\": [\n      {\n        \"method\": \"GET\",\n        \"path\": \"/api/mock/402\",\n        \"description\": \"Live mock of an AICL-style HTTP 402 response — machine-actionable licensing info. No payment is processed.\"\n      },\n      {\n        \"method\": \"GET\",\n        \"path\": \"/api/crawler-check?origin=https://example.org\",\n        \"description\": \"Fetches a site's machine-readable policy surface (robots.txt, llms.txt, AICR/AICL, rights spectrum, manifest).\"\n      }\n    ]\n  },\n  \"citation\": {\n    \"format\": \"Neo.K / EveMissLab, \\\"Page Title\\\", version, AGIRight.org, URL\",\n    \"attribution_required\": true\n  },\n  \"contact\": {\n    \"email\": \"contact@agiright.org\"\n  }\n}"
    }
  ]
}