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Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
CFPB Consumer Complaint Database
This dataset is an analytics-ready Parquet version of the public Consumer Financial Protection Bureau Consumer Complaint Database.
Source
Original source: Consumer Financial Protection Bureau
CSV download: https://files.consumerfinance.gov/ccdb/complaints.csv.zip
JSON download: https://files.consumerfinance.gov/ccdb/complaints.json.zip
Search interface: https://www.consumerfinance.gov/data-research/consumer-complaints/search/
Field reference: https://cfpb.github.io/api/ccdb/fields.html
Processing
The original CFPB CSV ZIP file was downloaded and converted into compressed Parquet files.
Processing steps:
- Loaded the CSV in chunks.
- Normalized column names to lowercase snake_case.
- Parsed date fields where possible.
- Exported data as Zstandard-compressed Parquet.
Intended Uses
- Complaint trend analysis
- Financial product analytics
- Company response analysis
- NLP over complaint narratives
- RAG and agent-based analytics
- Public policy and consumer protection research
Limitations
This dataset should not be treated as a representative sample of all consumers or all financial market activity. Complaint volume may reflect many factors, including company size, consumer awareness, product adoption, and reporting patterns.
Citation
Please cite the Consumer Financial Protection Bureau Consumer Complaint Database as the original source.
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