The cat’s database

What is in the cat’s database

The cat (amazing.cat) — a search engine for court practice, agency acts and laws of Russia for AI agents. The cat searches Supreme Court of the Russian Federation, Constitutional Court, cassation, regional and district court decisions, Supreme Court Plenum resolutions, practice reviews and historical Supreme Arbitrazh Court materials. AI agents also retrieve agency acts from the Federal Antimonopoly Service, and laws and regulations as of a chosen date via MCP.

Verified 2026-10-08; MCP counters 20:20 UTC, district act texts 20:12 UTC, annual case statistics 20:07 UTC; public counters.

Counts are dated at verification. Each corpus states its counting unit: a case record, a court act, a legislative text or a FAS document. Years refer to document dates; the district court annual table uses case registration years.

Court practice: annual counts and a page for each court

Supreme Court of the Russian Federation (ВС РФ)

33,504 acts with extracted text · 2001–2026

Judicial acts of the Supreme Court of the Russian Federation in general jurisdiction and commercial disputes. Search by meaning, case number, text or legal provision, then verify the selected act and its details.

MCP tools: search_practice, find_by_norm, find_term, get_case.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find assignment of claims in Supreme Court of Russia documents.»

  2. The agent calls the cat’s tool:
    find_term(phrase="уступка права требования", court="ВС", limit=1, detail="compact")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "court": "ВС",
      "returned": 1,
      "results": [
        {
          "court": "ВС",
          "doc_id": 2520252,
          "vs_number": "5-КГ25-172-К2",
          "case_number": "5-КГ25-172-К2",
          "date": "2026-01-27",
          "url": "https://www.vsrf.ru/lk/practice/stor_pdf/2520252",
          "source_url": "https://www.vsrf.ru/lk/practice/stor_pdf/2520252"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2026-01-27. No. 5-КГ25-172-К2. Database ID: 2520252. Text: https://www.vsrf.ru/lk/practice/stor_pdf/2520252.

Call executed 2026-10-08T20:06:48.142238+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_term","arguments":{"phrase":"уступка права требования","court":"ВС","limit":1,"detail":"compact"}}}'

Developer API

Constitutional Court of the Russian Federation (КС РФ)

1,000 acts · Dated acts: 1991–2026

Constitutional Court acts and legal positions on the constitutionality of provisions, individual rights and interpretation of legislation. Semantic search, text search, provision search and act retrieval are available.

The corpus contains 1,000 acts; 993 records have a year in the 1991–2026 range.

MCP tools: search_practice, find_by_norm, find_term, get_case.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find Constitutional Court positions on subsidiary liability in bankruptcy.»

  2. The agent calls the cat’s tool:
    search_practice(query="субсидиарная ответственность при банкротстве", court="КС", limit=1, detail="compact")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "results": [
        {
          "doc_id": 737448,
          "court": "КС",
          "date": "2024-02-26",
          "url": "https://doc.ksrf.ru/decision/KSRFDecision737448.pdf",
          "source_url": "https://doc.ksrf.ru/decision/KSRFDecision737448.pdf"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2024-02-26. Database ID: 737448. Text: https://doc.ksrf.ru/decision/KSRFDecision737448.pdf.

Call executed 2026-10-08T20:06:32.846827+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_practice","arguments":{"query":"субсидиарная ответственность при банкротстве","court":"КС","limit":1,"detail":"compact"}}}'

Developer API

Resolutions of the Plenum of the Supreme Court of the Russian Federation

632 resolution records · 1991–2026

A separate corpus of Supreme Court Plenum resolutions: guidance on legislation, amendments to earlier resolutions and organizational resolutions. Search by subject, exact phrase, resolution number or legal provision.

MCP tools: search_practice, find_by_norm, find_term, get_case.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find Supreme Court Plenum guidance on criminal sentencing.»

  2. The agent calls the cat’s tool:
    find_term(phrase="назначение наказания", court="Пленум", limit=1, detail="compact")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "court": "Пленум",
      "returned": 1,
      "results": [
        {
          "court": "Пленум",
          "doc_id": 35905,
          "number": "16",
          "case_number": "16",
          "date": "2026-05-21",
          "url": "https://www.vsrf.ru/documents/all/35905/",
          "source_url": "https://www.vsrf.ru/documents/all/35905/"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2026-05-21. No. 16. Database ID: 35905. Text: https://www.vsrf.ru/documents/all/35905/.

Call executed 2026-10-08T20:06:48.222866+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_term","arguments":{"phrase":"назначение наказания","court":"Пленум","limit":1,"detail":"compact"}}}'

Developer API

For example: Supreme Court Plenum Resolution No. 15 of 21 May 2026, On preparing civil cases for trial (doc_id=35904).

Supreme Arbitrazh Court of the Russian Federation — historical corpus (ВАС РФ)

3,812 acts with extracted text · 2004–2014

Historical materials of the Supreme Arbitrazh Court of the Russian Federation, including resolutions and information letters. Search by meaning, text or provision and retrieve a selected document.

MCP tools: search_practice, find_by_norm, find_term, get_case.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find historical Supreme Arbitrazh Court practice on unauthorized construction.»

  2. The agent calls the cat’s tool:
    find_term(phrase="самовольная постройка", court="ВАС", limit=1, detail="compact")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "court": "ВАС",
      "returned": 1,
      "results": [
        {
          "court": "ВАС",
          "doc_id": 19056,
          "case_number": "А45-2923/2013",
          "date": "2014-07-01",
          "url": "https://www.vsrf.ru/documents/all/19056/",
          "source_url": "https://www.vsrf.ru/documents/all/19056/"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2014-07-01. Database ID: 19056. Text: https://www.vsrf.ru/documents/all/19056/.

Call executed 2026-10-08T20:06:51.017298+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_term","arguments":{"phrase":"самовольная постройка","court":"ВАС","limit":1,"detail":"compact"}}}'

Developer API

Judicial practice reviews of the Supreme Court of the Russian Federation

299 processed review records · 2001–2026

A separate corpus of Supreme Court judicial practice reviews, including periodic and thematic reviews approved by its Presidium. Search by subject, provision and review text.

MCP tools: search_practice, find_by_norm, find_term, get_case.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find Supreme Court practice reviews on utility services.»

  2. The agent calls the cat’s tool:
    find_term(phrase="коммунальные услуги", court="ОбзорВС", limit=1, detail="compact")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "court": "ОбзорВС",
      "returned": 1,
      "results": [
        {
          "court": "ОбзорВС",
          "doc_id": 36136,
          "number": "2 (2026)",
          "case_number": "2 (2026)",
          "date": "2026-07-03",
          "url": "https://www.vsrf.ru/documents/all/36136/",
          "source_url": "https://www.vsrf.ru/documents/all/36136/"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2026-07-03. No. 2 (2026). Database ID: 36136. Text: https://www.vsrf.ru/documents/all/36136/.

Call executed 2026-10-08T20:07:08.115847+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_term","arguments":{"phrase":"коммунальные услуги","court":"ОбзорВС","limit":1,"detail":"compact"}}}'

Developer API

Russian legislation and regulatory acts

6,343 acts with indexed text · 1990–2026

Codes, federal and federal constitutional laws, Russian laws, decrees and resolutions from the legal information bank. The catalogue contains 13,416 records; 6,343 acts have indexed text, with 45,514 indexed articles.

The 1990–2026 range refers to adoption dates of acts with text. Tools retrieve an article or section, search text and request a revision for a specified date.

Departmental regulatory acts: 220 downloaded originals from 2003–2022, including 192 with extracted text. npa_originals_search and npa_originals_text search the downloaded originals; npa_find and npa_text query the Legislation of Russia bank.

MCP tools: get_norm_text, law_find, law_get_text, law_search, law_history, npa_catalog_search, npa_originals_search, npa_originals_text, npa_find, npa_text.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to retrieve Civil Code Article 1152 on acceptance of inheritance.»

  2. The agent calls the cat’s tool:
    get_norm_text(norms="1152 ГК", with_practice=false)
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "norms": [
        {
          "norm": "1152 ГК",
          "article": "1152",
          "matched": [
            {
              "law": "Гражданский кодекс РФ",
              "article": "1152",
              "redaction_date": "20250715",
              "source_url": "https://mcp.amazingcat.net/russian_law/gk_rf?part=63583#st-1152",
              "text": "Статья 1152. Принятие наследства\n1. Для приобретения наследства наследник должен его принять.\nДля приобретения выморочного имущества (статья 1151) принятие наследства не требуется.\n2. Принятие наследником части наследства означает принятие всего причитающегося ему наследства, в чем бы оно ни заключалось и где бы оно ни находилось.\nПри призвании наследника к наследованию одновременно по нескольким основаниям (по завещанию и по закону или в порядке наследственной трансмиссии и в результате открытия наследства и тому подобное) наследник может принять наследство, причитающееся ему по одному из этих оснований, по нескольким из них или по всем основаниям.\nНе допускается принятие наследства под условием или с оговорками.\n3. Принятие наследства одним или несколькими наследниками не означает принятия наследства остальными наследниками.\n4. Принятое наследство признается принадлежащим наследнику со дня открытия наследства независимо от времени его фактического принятия, а также независимо от момента государственной регистрации права наследника на наследственное имущество, когда такое право подлежит государственной регистрации."
            }
          ]
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned Civil Code Article 1152 on acceptance of inheritance.

Call executed 2026-10-08T20:07:04.632743+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_norm_text","arguments":{"norms":"1152 ГК","with_practice":false}}}'

Developer API

Nine cassation courts of general jurisdiction

1,402,707 acts · 2019–2026

Acts of the nine cassation courts of general jurisdiction, 2019–2026. Search by words, phrases, provisions and available case record fields; retrieve a case record or a selected act.

The corpus contains 1,809,516 case records from nine courts. Civil cases, administrative proceedings under KAS, administrative offence cases under KoAP and criminal cases are separate. Search defaults to civil cases; specify the required type.

MCP tools: kas_search, kas_by_norm, kas_case, kas_acts, kas_act, kas_verify_quote, kas_stats.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find Seventh Cassation Court practice on reinstatement at work.»

  2. The agent calls the cat’s tool:
    kas_search(text="восстановление NEAR/5 работе", court=7, kind="civil", limit=1, detail="brief")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "найдено": 1307,
      "показано": 1,
      "результаты": [
        {
          "act_id": 613147,
          "суд": "7 КСОЮ",
          "дата": "2025-08-26"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2025-08-26. Database ID: 613147.

Call executed 2026-10-08T20:07:11.799474+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"kas_search","arguments":{"text":"восстановление NEAR/5 работе","court":7,"kind":"civil","limit":1,"detail":"brief"}}}'

Developer API

Regional, territorial, republican and other subject-level courts of Russia

5,246,926 collected documents with text · 2012–2026

Documents from 82 subject-level courts: appeals and first-instance cases within their jurisdiction. Regional, territorial, republican and other regional courts, including Saint Petersburg City Court. Registry document dates: 2012–2026.

Search by words, phrases or provisions, filter case details, retrieve case records and texts, and verify quotations. Civil, KAS administrative, KoAP administrative offence and criminal proceedings are distinguished.

Moscow City Court: 326 documents with extracted text from 2022–2026.

MCP tools: oblsud_search, oblsud_by_norm, oblsud_case, oblsud_acts, oblsud_act, oblsud_verify_quote, oblsud_stats, oblsud_courts.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to check the word «алименты» in Kirov Regional Court act 521.»

  2. The agent calls the cat’s tool:
    oblsud_search(text="алименты", court="43OS0000", act_ids="521", proc="civil", limit=1, detail="brief")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "семейство": "oblsud",
      "результаты": [
        {
          "act_id": 521,
          "act_key": "43OS0000|doc|901449|1",
          "суд": "Кировский областной суд (Кировская область)",
          "код_суда": "43OS0000",
          "номер": "33-110/2024 (33-6783/2023;)",
          "дата": "2023-12-27"
        }
      ],
      "найдено": 1,
      "показано": 1
    }
  4. The agent replies to you — example:

    The cat returned a document dated 2023-12-27. No. 33-110/2024 (33-6783/2023;). Database ID: 521.

Call executed 2026-10-08T20:14:19.230587+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"oblsud_search","arguments":{"text":"алименты","court":"43OS0000","act_ids":"521","proc":"civil","limit":1,"detail":"brief"}}}'

Developer API

District and city courts of general jurisdiction

18,502,197 act records with available text · 2009–2026 registration years of cases with collected acts

District and city courts across Russian regions: 2,028 courts from the regional source. Moscow district courts are listed separately below.

The registry contains proceedings with registration years 2003–2026; registration years of cases with collected acts are 2009–2026. The text count measures act records; the table below measures proceedings by the year in the case number.

The case-number index contains 42,232,133 proceeding records. Case records include parties, judges, categories and results. Dates and case status help trace case movement.

Full-text and legal provision indexes support district practice research by words, exact phrases and statutory provisions. The raysud_* family includes search, provision lookup, case records, batch and single-act retrieval, quotation checking, statistics and court lookup.

The index catch-up job for collected data runs every 15 minutes. Recognized personal names are masked in responses.

Moscow district courts: 35 courts, 53,758 proceeding records with registration year 2026, and 1,454 act records from 2025–2026, including 1,411 with text.

MCP tools: raysud_*.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat (amazing.cat) to look up Vichuga City Court, Ivanovo Region, in the court directory.»

  2. The agent calls the cat’s tool:
    raysud_courts(code="37RS0002", limit=1)
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "найдено": 1,
      "показано": 1,
      "суды": [
        {
          "код": "37RS0002",
          "суд": "Вичугский городской суд (Ивановская область)",
          "регион": "Ивановская область",
          "карточек_дел": 16206
        }
      ]
    }
  4. The agent replies to you — example:

    Court code: 37RS0002. The cat directory has 16206 case records for that court.

Call executed 2026-10-08T20:07:23.835070+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"raysud_courts","arguments":{"code":"37RS0002","limit":1}}}'

Developer API

Annual statistics snapshot: 08.10.2026 20:07 UTC. The year comes from the case number and denotes registration. The table combines district courts from the regional source and Moscow district courts.

District courts: proceedings by registration year
Registration yearProceedingsProceedings with an act
200330
200520
200620
200760
20084,9510
200926,8594
2010251,58033,574
2011359,47788,883
2012483,235143,244
2013629,650216,190
2014784,469307,217
20151,009,740435,957
20161,181,471541,136
20171,219,272570,994
20181,374,630662,472
20191,593,564782,733
20202,189,4171,173,626
20213,264,0051,774,887
20226,392,8732,403,312
20235,861,9132,296,175
20245,831,9922,627,454
20255,188,6662,624,358
20264,570,5381,796,484

Federal Antimonopoly Service of Russia (FAS)

134,165 documents · 2005–2026

Administrative practice of the Federal Antimonopoly Service and its territorial offices: decisions, orders, resolutions, warnings, notices and other procurement, competition, advertising and tariff documents. FAS is an administrative authority; its documents are not court acts.

There are 134,165 documents, including 126,968 with searchable text, and separately 435,802 case records. A document, an available text and a case record are different units. Search by words, phrases, number, document type and territorial office, then retrieve text or verify a quotation.

MCP tools: fas_search, fas_doc, fas_verify_quote, fas_stats.

Conversation with an AI agent

  1. You write to ChatGPT or Claude:

    «Ask the cat to find Federal Antimonopoly Service documents on procurement specifications.»

  2. The agent calls the cat’s tool:
    fas_search(query="техническое задание", limit=1, detail="card")
  3. The cat returns JSON:

    Shortened response: selected fields are preserved.

    {
      "найдено": 5381,
      "показано": 1,
      "результаты": [
        {
          "uuid": "6bf2bb1d-2ece-45f1-89f6-5053f1a16d11",
          "url": "https://br.fas.gov.ru/ca/upravlenie-kontrolya-razmeshcheniya-gosudarstvennogo-zakaza/6bf2bb1d-2ece-45f1-89f6-5053f1a16d11/"
        }
      ]
    }
  4. The agent replies to you — example:

    The cat returned a document from the selected corpus. Database ID: 6bf2bb1d-2ece-45f1-89f6-5053f1a16d11. Text: https://br.fas.gov.ru/ca/upravlenie-kontrolya-razmeshcheniya-gosudarstvennogo-zakaza/6bf2bb1d-2ece-45f1-89f6-5053f1a16d11/.

Call executed 2026-10-08T20:07:25.243331+00:00.

For developers: a direct API call

Run initialize and notifications/initialized first. Insert your token and Mcp-Session-Id. The request body contains a tool name and parameters.

curl -sS 'https://mcp.amazingcat.net/mcp' \
  -H 'Authorization: Bearer YOUR_AMAZINGCAT_TOKEN' \
  -H 'Mcp-Session-Id: YOUR_MCP_SESSION_ID' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'Content-Type: application/json' \
  --data-raw '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"fas_search","arguments":{"query":"техническое задание","limit":1,"detail":"card"}}}'

Developer API

Database FAQ

Does amazing.cat include Supreme Court Plenum resolutions?

Yes. A separate Plenum of the Supreme Court of Russia corpus contains 632 resolution records for 1991–2026, searchable by meaning, number and provision. The count measures resolution records.

Does it include the Supreme Court and Constitutional Court of Russia?

Yes. There are 33,504 Supreme Court acts with extracted text for 2001–2026 and 1,000 Constitutional Court acts. In the Constitutional Court corpus, 993 records have a year in the 1991–2026 range.

Does it include the Supreme Arbitrazh Court and Supreme Court practice reviews?

Yes. The historical Supreme Arbitrazh Court corpus contains 3,812 acts with extracted text for 2004–2014. A separate corpus has 299 processed Supreme Court practice reviews for 2001–2026.

Does it include district courts and Moscow?

District court corpus: 18,502,197 act records with available text. 2,028 courts from the regional source; 42,232,133 proceeding records. Registration years of cases with acts: 2009–2026. Text and provision search, case records and act texts. Moscow district courts: 35 courts, 53,758 proceeding records with registration year 2026, and 1,454 act records from 2025–2026, including 1,411 with text.

Does it include legislation texts as well as court practice?

Yes. The legislation catalogue has 13,416 records and 6,343 acts with indexed text. Tools retrieve articles and sections, search text and request dated revisions. Departmental regulatory acts: 220 downloaded originals, 192 with text; tools also search the Legislation of Russia bank.

What do the counts on this page measure?

They are record counts dated 8 October 2026. Each corpus states its unit: an act with text, a resolution record, a review, a catalogue record, a document or a proceeding record. The district court annual table uses the registration year from the case number.

Are FAS documents court practice?

They are administrative practice of the Federal Antimonopoly Service, not court acts, and form a separate corpus.