Before vs After FinFeedAPI
| BI needs | Before | After (with SEC API) |
| Ingesting disclosures | Manual collection or delayed batch jobs. | Near real-time ingestion of new filings. |
| Data preparation | Heavy manual cleaning and normalization. | Structured extraction reduces cleanup work. |
| Trend analysis | Inconsistent inputs break time-series analysis. | Aligned disclosures enable clean comparisons over time. |
| Filtering relevance | All filings processed equally. | Targeted filtering focuses on BI-relevant data. |
| Dashboard freshness | Reports lag behind new disclosures. | Dashboards stay closer to real time. |
| Scalability | Manual steps limit company coverage. | Automated workflows support broader datasets. |
| Insight reliability | Results questioned due to messy inputs. | Outputs grounded in official, consistent data. |
| Operational effort | High maintenance and manual overhead. | Reduced effort with automated SEC data pipelines. |







