Document Relevance Ranking API - FL Repos Intelligence

Coming soon — this product is not yet servable. Join the waitlist to be notified at launch.

Rank documents by relevance to a client’s portfolio and risk profile (core-document-ranking-manager). You will provide: Documents (text or URLs) + a client context object. You will get back: Top-k ranked doc ids with scores and per-doc reasons.

Evidence highlights

From the source repositories backing this product (fleet analysis, DuckDB provenance):

Metric	Value
Python functions	614
Python classes	139
Data models	26
Test coverage	56.5%
Lines of code	10,074
Commits	438
Contributors	12
FIBO coverage	75.3%
FIBO-mapped pairs	1,127
Distinct FIBO concepts	60
API-potential score	10.8

API status

GET /v1/products/document-relevance-ranking returns 501 Not Implemented with a machine-readable envelope until launch:

curl -i "https://api.agentic.forwardlane.com/v1/products/document-relevance-ranking"

{
  "status": "coming_soon",
  "product": "document-relevance-ranking",
  "waitlist_url": "https://agentic.forwardlane.com",
  "docs_url": "https://docs.agentic.forwardlane.com/products/document-relevance-ranking"
}

The public catalog — GET /v1/catalog, no auth — always reflects the current live/coming-soon status of every product.