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Most credit card acceptance agencies also provide a “test” site that does everything but actually bill someone.

There you can see auth/post/settle transactions (as if they’d really happened) etc.

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They are a technical resource for programmers – that’s all.‘virtually nil’ is a good description First of all – with regard to testing CC numbers – if you’re testing against a LIVE CREDIT CARD ACCEPTANCE SITE – you really need to have your head examined.:) Especially, since each transaction – accepted or otherwise – costs somewhere from

They are a technical resource for programmers – that’s all.‘virtually nil’ is a good description First of all – with regard to testing CC numbers – if you’re testing against a LIVE CREDIT CARD ACCEPTANCE SITE – you really need to have your head examined.:) Especially, since each transaction – accepted or otherwise – costs somewhere from [[

They are a technical resource for programmers – that’s all.

‘virtually nil’ is a good description First of all – with regard to testing CC numbers – if you’re testing against a LIVE CREDIT CARD ACCEPTANCE SITE – you really need to have your head examined.

:) Especially, since each transaction – accepted or otherwise – costs somewhere from $0.25 to over a buck a pop (depending on the site), so you’re wasting money.

Just wondering if you have picked numbers from a range than is not used by the cc companies and thus guaranteed to be invalid or if you’re just assuming that the chances of a random credit card number and a random expiry date matching up are as slim as to be virtually nil.

I’m doing something similar (generating a load of cc Luhn numbers) to test an ecommerce site and don’t want to accidentally have somebody billed.

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They are a technical resource for programmers – that’s all.‘virtually nil’ is a good description First of all – with regard to testing CC numbers – if you’re testing against a LIVE CREDIT CARD ACCEPTANCE SITE – you really need to have your head examined.:) Especially, since each transaction – accepted or otherwise – costs somewhere from $0.25 to over a buck a pop (depending on the site), so you’re wasting money.Just wondering if you have picked numbers from a range than is not used by the cc companies and thus guaranteed to be invalid or if you’re just assuming that the chances of a random credit card number and a random expiry date matching up are as slim as to be virtually nil.I’m doing something similar (generating a load of cc Luhn numbers) to test an ecommerce site and don’t want to accidentally have somebody billed.

]].25 to over a buck a pop (depending on the site), so you’re wasting money.Just wondering if you have picked numbers from a range than is not used by the cc companies and thus guaranteed to be invalid or if you’re just assuming that the chances of a random credit card number and a random expiry date matching up are as slim as to be virtually nil.I’m doing something similar (generating a load of cc Luhn numbers) to test an ecommerce site and don’t want to accidentally have somebody billed.

.25 to over a buck a pop (depending on the site), so you’re wasting money.Just wondering if you have picked numbers from a range than is not used by the cc companies and thus guaranteed to be invalid or if you’re just assuming that the chances of a random credit card number and a random expiry date matching up are as slim as to be virtually nil.I’m doing something similar (generating a load of cc Luhn numbers) to test an ecommerce site and don’t want to accidentally have somebody billed.

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