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

US POSTMATER

Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 340425 · Resolution: Indexed Canonical Identity
Total Payments
$21,139.34
Client Filers
2
Payments
6
Activity Range
02/18/2016–01/04/2023
Largest Payment
$20,834.34
Graph: 2 connected filers · 6 payments · $21,139.34 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
1Keating, John P. (Mr.)$20,834.34102/18/2016
2Highland Lakes Republican Women$305.00501/04/2023

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
US POSTMASTER
Vendor ID 340396
2 100.0% 411 0.5%
OFFICE DEPOT
Vendor ID 230284
2 100.0% 3,017 0.1%
USPS
Vendor ID 340732
2 100.0% 1,958 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
01/04/2023Highland Lakes Republican Women$92.00 PO Box Rental
11/16/2022Highland Lakes Republican Women$12.00Postage stamps
09/30/2019Highland Lakes Republican Women$55.00 Correspondence
01/29/2019Highland Lakes Republican Women$84.00P O Box rental
02/18/2016Keating, John P. (Mr.)$20,834.34campaign postage expense
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.