Texas Ethics Commission data Release v1.4 Source snapshot September 17, 2026 Latest eligible reported transaction September 15, 2026
Canonical Vendor

Kinder + Debauche

Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 178672 · Resolution: Indexed Canonical Identity
Total Payments
$6,250.00
Client Filers
2
Payments
3
Activity Range
01/02/2016–03/29/2016
Largest Payment
$2,500.00
Graph: 2 connected filers · 3 payments · $6,250.00 represented
Canonical vendor assembled from reviewed Texas Ethics Commission reported payee identities. Source records remain unchanged.

Reported Names

Payee names preserved from the reported/curated source layer and resolved to this canonical vendor.

Top Client Filers

Canonical client relationships from vendor_clients_canonical.
#FilerPaidPaymentsLast Payment
1Gonzales, Norma (Ms.)$3,750.00203/02/2016
2Thomson, Kristal (Ms.)$2,500.00103/29/2016

Shared Client Network

Other canonical vendors paid by the same filer clients. Ranked by shared-client count. This is a structural overlap measure, not evidence of affiliation or coordination.
Vendor Shared Clients Focal Coverage Peer Clients Network Overlap
NEBCD
Vendor ID 223772
2 100.0% 13 15.4%
HOTEL EMMA
Vendor ID 150518
2 100.0% 32 6.3%
ALAMO MAILING
Vendor ID 9609
2 100.0% 79 2.5%
BEXAR COUNTY DEMOCRATIC PARTY
Vendor ID 33267
2 100.0% 184 1.1%
ANNIE'S LIST
Vendor ID 18014
2 100.0% 201 1.0%
FACEBOOK
Vendor ID 109240
2 100.0% 1,638 0.1%
HEB
Vendor ID 142370
2 100.0% 1,480 0.1%
Method: Focal Coverage = shared clients ÷ this vendor's client count. Network Overlap = Jaccard similarity: shared clients ÷ union of both client sets.

Recent Reported Payments

DateClient FilerAmountDescription
03/29/2016Thomson, Kristal (Ms.)$2,500.00Campaign Consultant
03/02/2016Gonzales, Norma (Ms.)$2,250.00general consulting and assistance in preparing mail piece
01/02/2016Gonzales, Norma (Ms.)$1,500.00Political consulting and strategy
Evidence basis: A canonical vendor identity was resolved using the curated vendor layer. Raw reported-payee statistics remain separate from canonical vendor statistics so the source record and analytical identity are distinguishable.