Trevor H.

Commented on Searching for Effective Clay Solutions to Fetch an...·Posted inFeedback & Requests

Tried Claygent variants (Navigator, Argon). Argon helps with discovery, but consistent PDF reading is unreliable and sometimes summaries come from secondary sources instead of the PDF.
Ideal: a Clay-native pattern that handles redirects/viewers and image-only PDFs with OCR. If needed, we’d consider a tiny external “PDF fetcher” API called from Clay (handles redirects/cookies/JS-gated downloads + OCR, returns text URL and hash).
Scale target is 10k–20k accounts with cost control. We’ll capture provenance and confidence, and only push high-confidence results downstream.
Questions: what’s working for you in Clay today for high-reliability PDF fetch-and-parse? Any agent-chaining prompts, retries/backoff patterns, or tools you recommend? If you use a minimal external helper, what’s the lightest approach that plugs cleanly into a Custom API step?

Searching for Effective Clay Solutions to Fetch and Analyze PDFs

Hey, team! 👋 Looking for some help from this group for reliable ways in Clay to fetch and read web-sourced PDFs at scale in order to analyze/summarize/extract key fields. We're starting by first discovering the URL of the PDF via GPT5.1 (has been the best results so far -- would love anyone's thoughts on using a lighter-weight model for this) which works, but agents often fail to open the actual PDF from a direct URL. We much prefer Clay-first solutions, while open to minimal external helper/API if there’s a proven pattern. More details in 🧵 . PS: please redirect me to a better channel for this if I'm barking up the wrong tree!

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