SpreadSpace Python SDK
Official Python client for the SpreadSpace API — document extraction and financial spreading for lending.
Install
pip install spreadspace
Requires Python 3.9+.
Authentication
from spreadspace import SpreadSpace
client = SpreadSpace(api_key="ss_test_...") # or omit and set SPREADSPACE_API_KEY
The key prefix selects the environment:
ss_test_...— routes to your sandbox tenant (seed data, safe to experiment).ss_live_...— routes to your live tenant (real data).
If api_key is omitted, the client reads SPREADSPACE_API_KEY from the
environment. Never hard-code a live key; never commit any key.
Client options
client = SpreadSpace(
api_key="ss_test_...",
base_url="https://api.spreadspace.app", # override for a private deployment
api_version="2026-05-03", # pins the SpreadSpace-Version header
timeout=60.0, # seconds, per request
max_retries=2, # 429 + 5xx + transport errors
)
API version pinning
Every request sends a dated SpreadSpace-Version header. The SDK pins a default
version per release (decoupled from the SDK's own semver). Pin it explicitly to
insulate your integration from server-side changes, and override per call when
you need a newer surface:
client.borrowers.list(api_version="2026-06-01") # one call on a newer version
Pagination (lazy, auto cursor)
List endpoints return a lazy iterator that walks cursors for you — it fetches the next page only as you consume it.
for borrower in client.borrowers.list():
print(borrower["borrower_id"])
# Filters pass straight through and persist across pages:
for job in client.jobs.list(limit=50):
print(job["job_id"])
Core lists yield typed Borrower, Loan, and JobStatus dictionaries. They
remain ordinary dictionaries at runtime.
borrower = client.borrowers.create({"name": "Example borrower"})
loan = client.loans.create(borrower["borrower_id"], {"name": "Example loan"})
current_loan = client.loans.get(loan["loan_id"])
Extraction export + wait
Exports run asynchronously. create returns a handle; wait polls to
completion (raising ExportFailedError on failed, ExportTimeoutError on
timeout). Terminal statuses are succeeded / failed / cancelled;
cancelling — a cancel that landed mid-bundle — is NOT terminal, so wait
polls through it. format is json, csv, or xlsx; xlsx is available for
bank statements only.
borrower_id, loan_id and document_ids are required, as they are on the server.
export = client.exports.create(
borrower_id="abc123",
loan_id="def456",
document_ids=["7a1d4e9c2b3f4a5d8e6c1b0f", "2a3b4c5d6e7f809112345678"],
format="json",
)
result = export.wait(timeout=300) # seconds
print(result.status, result.download_url) # fresh download link on each retrieval
print(result.document_counts) # {"requested": .., "exported": .., "skipped": ..}
print(result.bundle) # {"name": .., "size_bytes": .., "line_item_count": ..}
# Or ask for a fresh link by id (raises ExportNotReadyError until succeeded).
# The expiry comes off the same read, so it describes this link:
link = client.exports.download_link(result.export_id)
print(link.url, link.expires_at)
# List exports as ExtractionExport rows (items live under `exports`, not `data`):
for row in client.exports.list(status="running"):
print(row.export_id, row.status)
# Cancel a still-running export (cancelling a finished one raises ConflictError;
# cancelling an already-cancelled one is an idempotent success):
export.cancel()
# ...or by id: client.exports.cancel(result.export_id)
Upload a document + wait for processing
job = client.documents.upload(
"statement.pdf", loan_id="def456", borrower_id="abc123",
operation_key="application-123-document-1", # persist before the first attempt
)
print(job.id) # persist the accepted job ID alongside the operation key
status = client.jobs.get(job.id) # JobStatus dictionary
final = job.wait(timeout=600) # seconds
print(final["status"])
The upload helper requests a presigned URL, PUTs the file bytes directly to
storage with the matching Content-Type (part of the V4 signature), then returns
a job handle you can wait on. Every upload belongs to a loan, so loan_id is
required; borrower_id is optional.
Persist the operation key and returned job ID. Reusing the key produces stable,
distinct presign and confirm idempotency keys. After accepted confirm, use
client.jobs.get(job_id) to resume status checks. Presigned URLs expire, so a
replayed presign response does not permit indefinite upload restarts. API version
and retry overrides apply to both API stages and stay off the storage PUT.
Read an extracted document (typed)
client.extractions has one get_<family> / list_<family>s pair per
document family (get_tax_return / list_tax_returns, get_bank_statement /
list_bank_statements, ...), annotated with TypedDicts from
spreadspace.extractions, plus get_report_data for any category in the shape
of its family:
schedule = client.extractions.get_debt_schedule(borrower_id, document_id)
print(schedule["form_variant"], len(schedule["debt_schedule"]))
for row in client.extractions.list_debt_schedules(borrower_id)["schedules"]:
print(row["extracted_document_id"], row["report_data"]["as_of_date"])
Error handling
All errors derive from SpreadSpaceError. Match on the typed subclass, never on
the message string:
from spreadspace import (
SpreadSpaceError, # base
NetworkError, # transport failure, no HTTP response
BadRequestError, # 400
AuthenticationError, # 401
PermissionDeniedError, # 403
NotFoundError, # 404
ConflictError, # 409
RateLimitError, # 429
InternalServerError, # 5xx
)
try:
client.borrowers.get("missing-id")
except RateLimitError as e:
print("retry after", e.retry_after, "seconds")
except NotFoundError as e:
print("not found")
except SpreadSpaceError as e:
# Every error carries request_id — quote it in support tickets.
print(e.message, e.status_code, e.request_id)
request_id comes from the X-Request-ID response header (falling back to the
error body). Transient failures (429, 5xx, transport errors) are retried
automatically up to max_retries with exponential backoff + full jitter,
honoring Retry-After.
Money is exact
Monetary values decode as decimal.Decimal, not float — the SDK reads the
literal digits off the wire, so amounts are exact with no float rounding:
b = client.borrowers.get("...") # [needs sandbox key]
assert b["total_revenue"] == Decimal("1234.56") # never 1234.5600000000001
Development
The generated OpenAPI core lives in src/spreadspace/_generated/ and is built in
CI (scripts/generate.sh, Java-based — not run locally). It is gitignored and
must never be hand-edited. The hand-written ergonomic layer (transport,
helpers, typed errors) is the only code committed by hand.
pip install -e '.[dev]'
pytest
License
MIT
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