Core3PolCategories

Documentation for eth_defi.core3.vault_protocol.Core3PolCategories Python class.

class Core3PolCategories

Bases: TypedDict

Latest per-category Probability of Loss (PoL) sub-scores.

Core3 assesses PoL across five risk categories, each with its own sub-score on the same 0 (Exceptional) to 100 (Critical) scale as the overall PoL. Sourced from the API-native category breakdown (/v1/{slug}/pol/by_category), stored daily in pol_category_daily. Any sub-score may be None for less-covered projects.

Attributes summary

ts	ISO 8601 timestamp of the category snapshot these scores come from.
security	Security sub-score: audits, bug bounty, contract verification, monitoring.
financial	Financial sub-score: revenue sources, treasury quality, token inflation.
operational	Operational sub-score: GitHub activity, team track record, liquidity.
reputational	Reputational sub-score: auditor ratings, incidents, social metrics, insurance.
regulatory	Regulatory sub-score: KYC/KYT, jurisdiction, legal documentation, transparency.

Methods summary

__init__(*args, **kwargs)
clear()	Remove all items from the dict.
copy()	Return a shallow copy of the dict.
fromkeys([value])	Create a new dictionary with keys from iterable and values set to value.
get(key[, default])	Return the value for key if key is in the dictionary, else default.
items()	Return a set-like object providing a view on the dict's items.
keys()	Return a set-like object providing a view on the dict's keys.
pop(k[,d])	If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem()	Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()	Return an object providing a view on the dict's values.

ts: Optional[str]

ISO 8601 timestamp of the category snapshot these scores come from. None if not available.

security: Optional[float]

Security sub-score: audits, bug bounty, contract verification, monitoring.

financial: Optional[float]

Financial sub-score: revenue sources, treasury quality, token inflation.

operational: Optional[float]

Operational sub-score: GitHub activity, team track record, liquidity.

reputational: Optional[float]

Reputational sub-score: auditor ratings, incidents, social metrics, insurance.

regulatory: Optional[float]

Regulatory sub-score: KYC/KYT, jurisdiction, legal documentation, transparency.

__init__(*args, **kwargs)

__new__(**kwargs)

clear()

Remove all items from the dict.

copy()

Return a shallow copy of the dict.

fromkeys(value=None, /)

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)

Return the value for key if key is in the dictionary, else default.

items()

Return a set-like object providing a view on the dict’s items.

keys()

Return a set-like object providing a view on the dict’s keys.

pop(k[, d]) → v, remove specified key and return the corresponding value.

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values()

Return an object providing a view on the dict’s values.