| name | finta-sdk-patterns |
| description | Integration patterns for Finta fundraising CRM with email and calendar APIs.
Use when building automated investor outreach, syncing data from Finta exports,
or creating custom fundraising dashboards.
Trigger with phrases like "finta integration", "finta patterns",
"finta automation", "finta data pipeline".
|
| allowed-tools | Read, Write, Edit |
| version | 1.7.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","fundraising-crm","investor-management","finta"] |
| compatibility | Designed for Claude Code |
Finta SDK Patterns
Overview
Finta does not expose a public REST API. Integrate via: (1) CSV export + Python processing, (2) email integrations (Gmail/Outlook), (3) Zapier/Make webhooks, or (4) Stripe/payment integrations for capital collection.
CSV-Based Pipeline Tracker
import pandas as pd
from pathlib import Path
class FintaPipelineTracker:
def __init__(self, export_path: str):
self.df = pd.read_csv(export_path)
def investors_by_stage(self) -> dict:
return self.df.groupby("Stage")["Name"].apply(list).to_dict()
def conversion_funnel(self) -> list[dict]:
stages = self.df["Stage"].value_counts()
return [{"stage": s, "count": c} for s, c in stages.items()]
def overdue_followups(self, days: int = 7) -> pd.DataFrame:
self.df["Last Contact"] = pd.to_datetime(self.df["Last Contact"])
cutoff = pd.Timestamp.now() - pd.Timedelta(days=days)
return self.df[
(.df[].isin([, ]))
& (.df[] < cutoff)
]
() -> :
closed = .df[.df[] == ]
closed[].()