_ registry / mcp http-sse · checked 15m ago

cuisor

https://cuisor.ro

Registry code: 631ce01055561167

api record

Look up Romanian companies by name or CUI (fiscal code), read their filed financials, fiscal standing, procurement history and legal representatives, and compute aggregates across filtered populations. Data: the Romanian company register (~4M companies) with filed financial statements, ANAF fiscal status, public procurement awards, and legal representatives. Amounts are in lei (RON). Not real-time: every payload states the age of the data it came from.

endpoint
https://cuisor.ro/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is cuisor live?
Yes — it answered the hub's last check (checked 15m ago). It answered 100% of checks over the last 30 days.
Is cuisor free to use?
Yes — the hub reached it with no key and no payment.
What tools does cuisor have?
12 tools: get_financials, resolve_caen, get_procurement, search_companies, get_legal, get_officers, fetch, get_company, ….
Is cuisor safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.5%

90 days 99.1%· all time 99.1%

latency
689ms

last good check

priced tools
0

of 12 tools

_ answered our checks, 90 days 351 checks · signed record
  • degraded → live
  • live → degraded· HTTP 502
  • degraded → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
topic
finance & markets company & filings
used for
  • look up a romanian company by cui
  • get a company's filed financials
  • get public procurement awards
  • compute aggregates over companies
  • get legal representatives
takes → gives
text, data → data
tools
12 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 12 tools
3 open 9 never probed 3 of 12 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_meta reads open 5h ago

    How old each dataset is, how many companies filed in each year, what fraction of the register carries an activity code, and the mapping from every financial field name to its Romanian label. Call this when the user asks how current or how complete the data is.

    mcp-tool

    {
  "type": "object",
  "title": "get_meta_toolArguments",
  "properties": {}
}
    arguments 5 lines
  • list_companies reads open 5h ago

    List companies matching a filter, largest turnover first, at most 100 per page. Pass caen_query for free text ('coffee shops') or caen for explicit codes; judet accepts 'Bucharest', 'Bucuresti' or 'Bucureşti'; cui takes up to 100 comma-separated CUIs. Filters compose, so 'restaurants registered in Cluj last week' is one call. For newly registered companies pass sort='registered_desc' with registered_after — the default turnover order puts them behind every company that has ever filed a figure. Check register.data_through in the response before reporting an empty result: the register is a monthly ONRC snapshot and holds nothing registered after that date. Use cursor to page. If you want a count, an average or a total, use company_stats instead — do not page through companies to compute one.

    mcp-tool

    {
  "type": "object",
  "title": "list_companies_toolArguments",
  "properties": {
    "cui": {
      "type": "string",
      "title": "Cui",
      "default": ""
    },
    "caen": {
      "type": "string",
      "title": "Caen",
      "default": ""
    },
    "sort": {
      "type": "string",
      "title": "Sort",
      "default": "turnover_desc"
    },
    "judet": {
      "type": "string",
      "title": "Judet",
      "default": ""
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 25
    },
    "cursor": {
      "type": "string",
      "title": "Cursor",
      "default": ""
    },
    "status": {
      "type": "string",
      "title": "Status",
      "default": ""
    },
    "caen_query": {
      "type": "string",
      "title": "Caen Query",
      "default": ""
    },
    "min_turnover": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Min Turnover",
      "default": null
    },
    "min_employees": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Min Employees",
      "default": null
    },
    "registered_after": {
      "type": "string",
      "title": "Registered After",
      "default": ""
    },
    "registered_before": {
      "type": "string",
      "title": "Registered Before",
      "default": ""
    }
  }
}
    arguments 80 lines
  • company_stats reads open 5h ago

    Compute ONE number over a filtered population of companies — count, sum, avg, median, p25, p75, min or max. Prefer this over listing companies and doing the arithmetic yourself: it is one call instead of dozens, and it is exact. metric: net_turnover_ron, net_profit_ron, employees, sales_per_employee_ron, profit_margin_pct, company_count, age_years. group_by: year, caen, judet, status, founded_year — use group_by='year' with years='2019-2024' to get a time series you can chart. Always report `coverage.rows_with_metric` alongside the answer: it is routinely about half of `coverage.matched_companies`, because many companies never filed the figure.

    mcp-tool

    {
  "type": "object",
  "title": "company_stats_toolArguments",
  "properties": {
    "agg": {
      "type": "string",
      "title": "Agg",
      "default": "avg"
    },
    "cui": {
      "type": "string",
      "title": "Cui",
      "default": ""
    },
    "caen": {
      "type": "string",
      "title": "Caen",
      "default": ""
    },
    "year": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Year",
      "default": null
    },
    "judet": {
      "type": "string",
      "title": "Judet",
      "default": ""
    },
    "years": {
      "type": "string",
      "title": "Years",
      "default": ""
    },
    "metric": {
      "type": "string",
      "title": "Metric",
      "default": "net_turnover_ron"
    },
    "status": {
      "type": "string",
      "title": "Status",
      "default": ""
    },
    "group_by": {
      "type": "string",
      "title": "Group By",
      "default": ""
    },
    "caen_query": {
      "type": "string",
      "title": "Caen Query",
      "default": ""
    },
    "min_turnover": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Min Turnover",
      "default": null
    },
    "registered_after": {
      "type": "string",
      "title": "Registered After",
      "default": ""
    }
  }
}
    arguments 80 lines
  • get_financials reads unknown 20h ago

    Every filed financial year for one company: turnover, profit (signed — negative is a loss), employees, and the full balance sheet, all in lei. `latest_filed_year` says how recent the filings go, so a year with no row reads as 'not filed yet' rather than 'no data'.

    mcp-tool

    {
  "type": "object",
  "title": "get_financials_toolArguments",
  "required": [
    "cui"
  ],
  "properties": {
    "cui": {
      "type": "string",
      "title": "Cui"
    }
  }
}
    arguments 13 lines
  • resolve_caen reads unknown never probed

    Resolve free text like 'coffee shops' or 'car repair' to CAEN activity codes. ALWAYS call this before filtering by activity — do not guess a CAEN code. More than half the official nomenclator is obsolete CAEN Rev.1 with zero companies, and those are exactly the entries whose descriptions match the obvious word, so a guessed code commonly returns nothing for a question with thousands of answers. Show the user what was matched.

    mcp-tool

    {
  "type": "object",
  "title": "resolve_caen_toolArguments",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 10
    },
    "query": {
      "type": "string",
      "title": "Query"
    }
  }
}
    arguments 18 lines
  • get_procurement reads unknown 16h ago

    Public procurement (SEAP) awards for one company: contracts it won, and contracts it granted as a contracting authority. Bounded to the 200 most recent per side; `total` reports the true count, which can be far larger.

    mcp-tool

    {
  "type": "object",
  "title": "get_procurement_toolArguments",
  "required": [
    "cui"
  ],
  "properties": {
    "cui": {
      "type": "string",
      "title": "Cui"
    },
    "role": {
      "type": "string",
      "title": "Role",
      "default": "both"
    }
  }
}
    arguments 18 lines
  • search_companies reads unknown 2h ago

    Resolve a company name or CUI to candidate companies. Use this first whenever the user names a company rather than giving its CUI. Returns at most 50 candidates, active companies first, largest turnover first. Romanian company names collide heavily, so show the user the candidates rather than assuming the first is right. An unquoted query matches every name containing the words (mina srl: 1015 companies); wrap a name you already know in double quotes to get only the companies called that ("mina srl": 14). Case, diacritics and SRL/S.R.L. all fold. Quote a name, not a CUI.

    mcp-tool

    {
  "type": "object",
  "title": "search_companies_toolArguments",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 10
    },
    "query": {
      "type": "string",
      "title": "Query"
    }
  }
}
    arguments 18 lines
  • get_legal reads unknown 16h ago

    Court dockets (portal.just.ro) and BPI publications for one company, by CUI. Covers roughly the last three years, not a complete litigation history — it answers whether a company is in court now or recently, not whether it has ever been sued. Includes ambiguous matches the public website never shows: a docket whose party name is shared by more than one company in the register, fanned out one row per candidate CUI. No co-party names, no outcome or merits.

    mcp-tool

    {
  "type": "object",
  "title": "get_legal_toolArguments",
  "required": [
    "cui"
  ],
  "properties": {
    "cui": {
      "type": "string",
      "title": "Cui"
    }
  }
}
    arguments 13 lines
  • get_officers reads unknown 16h ago

    Legal representatives and administrators of one company. This is personal data: it requires an API key, every call is recorded against that key, and it is never available anonymously. `sources_present` says which registers contributed, so an empty list means 'none on record from these sources', not 'this company has no officers'.

    mcp-tool

    {
  "type": "object",
  "title": "get_officers_toolArguments",
  "required": [
    "cui"
  ],
  "properties": {
    "cui": {
      "type": "string",
      "title": "Cui"
    }
  }
}
    arguments 13 lines
  • fetch reads unknown 20h ago

    ChatGPT connector fetch: the full company document for one CUI `id`, as returned by a prior `search` call. Identical to get_company with no include= (administrators included; get_officers lists them per source). Use get_company instead unless you are the ChatGPT Apps SDK connector, which requires this exact name.

    mcp-tool

    {
  "type": "object",
  "title": "fetch_toolArguments",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "title": "Id"
    }
  }
}
    arguments 13 lines
  • get_company reads unknown 20h ago

    Identity, status, address, activity and headline figures for one company by CUI. Slim by default. Pass include=['financials','procurement','change_history','peers','same_address'] for more. Carries `as_of` dates: the register and ANAF are refreshed on different schedules. Data: the Romanian company register (~4M companies) with filed financial statements, ANAF fiscal status, public procurement awards, and legal representatives. Amounts are in lei (RON). Not real-time: every payload states the age of the data it came from.

    mcp-tool

    {
  "type": "object",
  "title": "get_company_toolArguments",
  "required": [
    "cui"
  ],
  "properties": {
    "cui": {
      "type": "string",
      "title": "Cui"
    },
    "include": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Include",
      "default": null
    }
  }
}
    arguments 28 lines
  • search reads unknown 2h ago

    ChatGPT connector search: find Romanian companies by name or CUI, returned as {id, title, url}. Identical to search_companies — use that tool instead unless you are the ChatGPT Apps SDK connector, which requires this exact name.

    mcp-tool

    {
  "type": "object",
  "title": "search_toolArguments",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "title": "Query"
    }
  }
}
    arguments 13 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 631ce01055561167.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/631ce01055561167/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/631ce01055561167/badge.svg)](https://brick.blue/agent/631ce01055561167?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.