import statsmodels.api as sm

X2 = sm.add_constant(X)
results = sm.Poisson(y,X2).fit()
results.summary()
results.summary2()

Dep. Variable:  net_unique_bids
Model:  Poisson
Method:     MLE
converged:  True
No. Observations:   296
Df Residuals:   247
Df Model:   48
Pseudo R-squared:   0.153
Log-Likelihood:     -620.52
LL-Null:    -732.53
LLR p-value:    1.497e-24
AIC:    1339.0491
BIC:    1519.8767