oli-python is the official Python SDK for the Open Labels Initiative (OLI), a framework for standardized and trusted blockchain address labels.
This SDK lets you read, write, validate, and revoke address labels within the OLI Label Pool and compute confidence scores based on attesters' relationships within the OLI Label Trust.
pip install oli-pythonfromoliimportOLIimportos# Initialize the clientoli=OLI(
private_key=os.getenv("PRIVATE_KEY"),
api_key=os.getenv("OLI_API_KEY")
)Setup Instructions:
- Create a
.envfile to store your private variables - Load an EOA wallet by setting the
private_keyvariable - The EOA wallet is used to track your reputation within OLI
- To access all advanced API endpoints, pass an
api_keyvariable. You can get your free API key from here
Additional Options:
You can also set the chain parameter to specify which EAS contracts location to use and the custom_rpc_url variable when initializing.
# Define your OLI compliant attestationaddress="0x9438b8B447179740cD97869997a2FCc9b4AA63a2"chain_id="eip155:1"# Ethereum mainnettags= {
"contract_name": "growthepie donation address",
"is_eoa": True,
"owner_project": "growthepie",
}
# (Optional) Validate your attestation before submissionis_valid=oli.validate_label(address, chain_id, tags)
print("Your attestation is OLI compliant:", is_valid)
# Submit label to the OLI Label Poolresponse=oli.submit_label(address, chain_id, tags)
print(response)attestations= [
{"address": address, "chain_id": chain_id, "tags": tags},
{"address": address, "chain_id": chain_id, "tags": tags},
]
response=oli.submit_label_bulk(attestations)
print(response)Note: All revocations are onchain transactions and therefore require you to have ETH on Base for gas in your wallet.
# Revoke a single attestationoli.revoke_by_uid(uid="0x...")
# Bulk revocationuids= ["0x1...", "0x2..."]
oli.revoke_bulk_by_uids(uids)response=oli.get_attestations()
print(response)Available filters: uid, attester, recipient, schema_info, since, order, limit
# All labels for an addressresponse=oli.get_labels(address="0x9438b8B447179740cD97869997a2FCc9b4AA63a2")
print(response)Available filters: address, chain_id, limit, include_all
addresses= ["0x9438b8B447179740cD97869997a2FCc9b4AA63a2", "0x4752ba5DBc23f44D87826276BF6Fd6b1C372aD24"]
response=oli.get_labels_bulk(addresses)
print(response)Available filters: addresses, chain_id, limit_per_address, include_all
response=oli.search_addresses_by_tag(
tag_id="owner_project",
tag_value="growthepie"
)
print(response)Available filters: tag_id, tag_value, chain_id, limit
chain_id="eip155:1"stats=oli.get_attester_analytics(chain_id)
print(stats)# Set a new source node for trust propagationtrust_table=oli.set_trust_node("0xYourAddress")
print(oli.trust.trust_table)
# Import your trust list from YAML fileimportyamlwithopen('example_trust_list.yml', 'r') asfile:
trust_list=yaml.safe_load(file)
owner_name=trust_list.get('owner_name')
attesters=trust_list.get('attesters', [])
attestations=trust_list.get('attestations', [])
# Check if the trust list is OLI compliantis_valid=oli.validate_trust_list(
owner_name, attesters, attestations
)
print("Your trust list is OLI compliant:", is_valid)
# Add a private trust list to the trust grapholi.add_trust_list(
owner_name, attesters, attestations
)
# Submit your trust list to the global trust graphresponse=oli.submit_trust_list(
owner_name, attesters, attestations
)
print(response)Once you set your trust node or submit your trust list, the transitive trust algorithm can assign a trust score to all labels. Use the following endpoints, which now assign a confidence score to each label. You can also set min_confidence to filter based on confidence thresholds.
# All trusted labels for an addressresponse=oli.get_trusted_labels(address="0x4752ba5DBc23f44D87826276BF6Fd6b1C372aD24")
print(response)Available filters: address, chain_id, limit, include_all, min_confidence
addresses= ["0x9438b8B447179740cD97869997a2FCc9b4AA63a2", "0x4752ba5DBc23f44D87826276BF6Fd6b1C372aD24"]
response=oli.get_trusted_labels_bulk(addresses)
print(response)Available filters: addresses, chain_id, limit_per_address, include_all, min_confidence
response=oli.search_trusted_addresses_by_tag(
tag_id="owner_project",
tag_value="growthepie"
)
print(response)Available filters: tag_id, tag_value, chain_id, limit, min_confidence
growthepie provides dataset exports as Parquet files for all attestations inside the OLI Label Pool, updated daily:
oli.get_full_raw_export_parquet()
oli.get_full_decoded_export_parquet()Option: Pass the filepath as a variable to store the export in a specific location.
MIT © Open Labels Initiative