High risk #01 Slicing
Artificial slicing of direct purchases
Repeated direct purchases from one supplier, each below the legal ceiling, together above it.
35,864 cases 14.74 Bn.
one case = authority–supplier–CPV–year group
PeBaniiNostri.ro checks every public purchase in SEAP, from 2018 to today, against ten risk indicators.
21,999,654 purchases analysed 10 risk indicators 8,670 authorities flagged
Ask the data from Claude, ChatGPT or Gemini, through our MCP server
Money tracked
What contracting authorities spent, in the three streams: tenders, direct purchases and offline purchases.
1,023.21 Bn.
* Incomplete year: the data starts in April 2018, and the current year is not over. Spending over time
By the contracting authority's seat, all years and all three streams. All counties
The purchase's CPV domain; for tenders, the procedure's main code. CPV statistics
Who is flagged
Each entity is counted once, however many indicators flag it. Money is never added across indicators, because each one counts something different.
8,670
47.5% of the 18,238 authorities that spent public money
3,953
21.7% of authorities, out of 8 indicators that score them
32,232
14.4% of the 223,776 suppliers paid with public money
The indicators
Each indicator has its own page: the methodology, the cases and the purchases each case was computed from.
High risk #01 Slicing
Repeated direct purchases from one supplier, each below the legal ceiling, together above it.
35,864 cases 14.74 Bn.
one case = authority–supplier–CPV–year group
High risk #02 At the ceiling
Direct purchases whose value stops just below the ceiling above which the law requires a tender.
45,948 cases 11.89 Bn.
one case = direct purchase
High risk #03 New companies
Companies collecting public money days after being registered.
9,165 cases 1.15 Bn.
one case = new company
Medium risk #04 Captivity
Near-exclusive relationships between an authority and a supplier.
378 cases 46.91 Bn.
one case = authority–supplier pair
High risk #05 Single bidder
Tender lots that drew a single offer and on which money has already been spent.
213,980 cases 271.92 Bn.
one case = tender lot
High risk #06 Single-bidder rate
Contracting authorities by the share of their tender lots that drew a single offer.
5,138 cases 262.01 Bn.
one case = ranked authority
High risk #07 Exact price match
Tender lots on which exactly the estimated sum was spent, to the leu.
19,310 cases 5.50 Bn.
one case = tender lot
Medium risk #08 Year-end
Authorities that spend far more in the last three weeks of December than the rest of the country.
3,152 cases 1.06 Bn.
one case = authority-year
Medium risk #09 DSI index
How much of an authority's money is spent through direct purchases, without a tender.
4,323 cases 109.79 Bn.
one case = authority
Medium risk #10 Concentration
Markets where an authority's money went to a few suppliers, although the country had hundreds.
649 cases 51.28 Bn.
one case = market: authority–CPV
Cases and money do not add up across indicators. A flagged case is not an accusation.
The authorities and suppliers flagged by the most indicators. Among equals, the order is by money.
| Authority | Spend | Indicators |
|---|---|---|
| COMPANIA AQUASERV SA MUREȘ | 837,741,188 | 7 of 8 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Authority ranking by single-bidder rate, Price matching the estimate exactly, Year-end spending, Discretionary spend index, Supplier concentration (HHI) |
| INSTITUTUL DE URGENTA PENTRU BOLI CARDIOVASCULARE SI TRANSPLANT TARGU-MURES MUREȘ | 690,190,564 | 7 of 8 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Authority ranking by single-bidder rate, Price matching the estimate exactly, Year-end spending, Discretionary spend index, Supplier concentration (HHI) |
| SOCIETATEA DE REPARATII LOCOMOTIVE CFR- SCRL BRASOV SA BRAȘOV | 343,968,369 | 7 of 8 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Supplier captivity, Authority ranking by single-bidder rate, Price matching the estimate exactly, Discretionary spend index, Supplier concentration (HHI) |
| SPITALUL CLINIC JUDETEAN DE URGENTA TARGU MURES MUREȘ | 295,861,599 | 7 of 8 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Authority ranking by single-bidder rate, Price matching the estimate exactly, Year-end spending, Discretionary spend index, Supplier concentration (HHI) |
| ORASUL DARABANI BOTOȘANI | 291,353,947 | 7 of 8 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Authority ranking by single-bidder rate, Price matching the estimate exactly, Year-end spending, Discretionary spend index, Supplier concentration (HHI) |
| Supplier | Revenue | Indicators |
|---|---|---|
| E-NFORMATION SRL BUCUREȘTI | 448,149,105 | 6 of 7 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Supplier captivity, Tender lots with a single bidder, Price matching the estimate exactly, Supplier concentration (HHI) |
| UNIVERSITATEA BABES BOLYAI CLUJ | 25,067,388 | 6 of 7 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, New companies winning public money, Tender lots with a single bidder, Price matching the estimate exactly, Supplier concentration (HHI) |
| DANTE INTERNATIONAL SA BUCUREȘTI | 3,667,389,939 | 5 of 7 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Supplier captivity, Price matching the estimate exactly, Supplier concentration (HHI) |
| DELTAMED SRL CLUJ | 3,322,752,767 | 5 of 7 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Tender lots with a single bidder, Price matching the estimate exactly, Supplier concentration (HHI) |
| OMV PETROM MARKETING SRL BUCUREȘTI | 2,457,883,135 | 5 of 7 indicators: Artificial slicing of direct purchases, Direct purchases at the legal ceiling, Tender lots with a single bidder, Price matching the estimate exactly, Supplier concentration (HHI) |
A flagged case is not an accusation. The thresholds are statistical, and the data is the data published on data.gov.ro.
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„Profile Cluj-Napoca City Hall: how much it spent each year, on what, whom it bought from, and which indicators flag it.”
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Every figure on this page comes from the public API, through the endpoints below. The parameters each one takes are in the documentation; each needs an access key.
/api/v1/stats/totals/api/v1/stats/entities/api/v1/stats/periods/api/v1/stats/timeline/api/v1/stats/breakdown/api/v1/red-flags/coverage/api/v1/red-flags/overview/api/v1/red-flags/overview/years/api/v1/red-flags/most-flagged/authorities/api/v1/red-flags/most-flagged/suppliers