{
  "schema_version": "agents.json/draft-02",
  "operator": "Bookyou株式会社",
  "operator_corporate_number": "8010001213708",
  "operator_jct_registration": "T8010001213708",
  "product": "jpcite",
  "description": "Japanese public-program / public-record evidence API and MCP server. Source-linked retrieval for subsidies, loans, licenses, administrative dispositions, qualified-invoice registrants, laws, and court decisions. Corpus snapshot 2026-05-07: 503,930 entities, 6.12M facts, 11,601 searchable programs across 47 prefectures, 9,484 law catalog stubs (6,493 full-text indexed), 50 tax_rulesets, 2,065 court_decisions, 1,185 enforcement_cases, 13,801 invoice_registrants (monthly 4M-row zenken bulk wired). MCP runtime cohort = 146 tools (manifest hold-at-139 default-gate count until next intentional bump).",
  "mcp_endpoint": "https://api.jpcite.com/mcp",
  "rest_openapi": "https://api.jpcite.com/openapi.public.json",
  "agent_openapi": "https://jpcite.com/openapi.agent.json",
  "agent_openapi_slim_gpt30": "https://jpcite.com/openapi.agent.gpt30.json",
  "openapi_discovery": "https://jpcite.com/.well-known/openapi-discovery.json",
  "llms_txt": "https://jpcite.com/llms.txt",
  "llms_full_txt": "https://jpcite.com/llms-full.txt",
  "companion_md_sitemap": "https://jpcite.com/sitemap-companion-md.xml",
  "role_separation_note": "agents.json (this file) is a machine-readable AI-capability spec; llms.txt is the narrative site description for AI + human readers. They are intentionally non-overlapping: agents.json carries machine-readable tool counts, corpus scale, workflow IDs, pricing primitives; llms.txt carries first-call sequences, route guidance, and operator copy. Cross-link both ways via the `llms_txt` field above and the `## Agent-side capability spec` section of llms.txt.",
  "policy_url": "https://jpcite.com/tos.html",
  "privacy_url": "https://jpcite.com/privacy.html",
  "tools_count": {
    "runtime_cohort": 146,
    "manifest_hold_at": 139,
    "note": "CLAUDE.md SOT: runtime cohort = 146 as of 2026-05-07. Manifests (pyproject.toml / server.json / dxt/manifest.json / smithery.yaml / mcp-server.json) intentionally hold at 139 until the next intentional bump. Verify with len(await mcp.list_tools())."
  },
  "corpus_scale": {
    "entities": 503930,
    "facts": 6120000,
    "searchable_programs": 11601,
    "law_catalog_stubs": 9484,
    "law_full_text_indexed": 6493,
    "tax_rulesets": 50,
    "court_decisions": 2065,
    "enforcement_cases": 1185,
    "invoice_registrants_delta": 13801,
    "snapshot_at": "2026-05-07"
  },
  "rate_limit": {"free_per_day_per_ip": 3, "paid_per_second": 10, "paid_burst": 20},
  "pricing": {"unit_price_jpy_ex_tax": 3, "unit_price_jpy_inc_tax": 3.30, "currency": "JPY", "tier": "completely_metered"},
  "contact_email": "info@bookyou.net",
  "support_sla_hours": 24,
  "geo_eligibility": "Japan-only (Stripe customer billing_address_country=JP required)",
  "data_licenses": ["PDL_v1.0", "CC-BY-4.0", "政府標準利用規約v2.0"],
  "recurring_agent_workflows": {
    "activation_rule": "Choose one first paid evidence call, use previewCost before broad runs, rerun with X-API-Key after the anonymous daily trial, and set X-Client-Tag for customer or project attribution.",
    "workflows": [
      {
        "id": "company_folder_intake",
        "description": "1法人の公開ベースライン作成 (createCompanyPublicBaseline + folder brief + evidence packet).",
        "first_paid_call": "createCompanyPublicBaseline",
        "sequence": ["previewCost", "createCompanyPublicBaseline", "createCompanyFolderBrief", "queryEvidencePacket"],
        "approx_req": 18,
        "approx_jpy_inc_tax": 59.40
      },
      {
        "id": "monthly_client_review",
        "description": "顧問先 N 社の月次 evidence packet 再取得 + prescreen 走査.",
        "first_paid_call": "queryEvidencePacket",
        "sequence": ["previewCost", "queryEvidencePacket", "prescreenPrograms"],
        "approx_req_per_client": 1,
        "approx_jpy_inc_tax_per_client": 3.30
      },
      {
        "id": "counterparty_dd_and_audit_prep",
        "description": "M&A 相手先 / 監査前準備の DD pack + audit pack + 専門家ハンドオフ.",
        "first_paid_call": "createCompanyPublicBaseline",
        "sequence": ["previewCost", "createCompanyPublicBaseline", "createCompanyPublicAuditPack", "match_advisors_v1_advisors_match_get"],
        "approx_req": 47,
        "approx_jpy_inc_tax": 155.10
      },
      {
        "id": "law_amendment_cross_reference_monitor",
        "description": "法令改正 cohort cross-reference monitor (am_amendment_diff + 制度影響 surface). 月次で 12 cohort を回す.",
        "first_paid_call": "queryEvidencePacket",
        "sequence": ["previewCost", "queryEvidencePacket", "track_amendment_lineage_am", "cross_check_jurisdiction"],
        "approx_req_per_month": 12,
        "approx_jpy_inc_tax_per_month": 39.60
      },
      {
        "id": "adoption_case_cohort_compare",
        "description": "採択事例 cohort 比較 (業種 × 規模 × 地域). 1 顧問先につき pack_construction / pack_manufacturing / pack_real_estate のいずれかを cohort matcher で回す.",
        "first_paid_call": "case_cohort_match",
        "sequence": ["previewCost", "case_cohort_match", "match_due_diligence_questions"],
        "approx_req_per_compare": 6,
        "approx_jpy_inc_tax_per_compare": 19.80
      },
      {
        "id": "enforcement_watch_rss",
        "description": "行政処分 watch (am_enforcement_detail RSS subscribe + houjin_watch webhook). 月 1 回の subscribe rerun + webhook fire.",
        "first_paid_call": "queryEvidencePacket",
        "sequence": ["previewCost", "queryEvidencePacket", "check_enforcement_am"],
        "approx_req_per_month": 12,
        "approx_jpy_inc_tax_per_month": 39.60
      }
    ]
  }
}