Disclosure: I built this, it’s my project, and paid tiers exist. There’s a free tier and everything shown below is viewable without signing up.
What it is: structured sponsorship records extracted from public podcast RSS show notes. One row per (brand, episode):
brand (canonically resolved) | show | episode | publish date | promo code | promo URL + registrable domain | sponsor type (paid / affiliate / house ad) | confidence | confidence tier | first seen | last seen | the verbatim sentence the claim came from
Sample rows straight out of the DB:
– AG1 on Huberman Lab, 2026-07-27, evidence: “AG1: https://drinkag1.com/huberman“
– Visible on Good Hang with Amy Poehler, code HANG, 2 episodes, 14-day span
– Saily on Machtwechsel (German news podcast), code “Machtwechsel”, 3 episodes over 18 days
Method, since this sub cares about it: LLM extraction over the show-notes text, then a deterministic brand-resolution layer on top. Domain evidence merges entities first (drinkag1.com and athleticgreens.com collapse into one AG1 entity), exact normalized-name match second, and anything that is merely name-similar goes to an adjudication queue and is never auto-merged. That last rule is what keeps Dove the soap separate from Dove the chocolate. Every record retains its source sentence so any claim can be audited by hand.
Honest limits, up front:
– Show notes only. Ads that exist purely in audio and never appear in the notes are invisible to this. Transcript coverage is not built yet.
– The corpus is small right now: 314 episodes across 93 shows, US + DE + FR. It grows daily but this is not a historical archive.
– I am deliberately not publishing an accuracy percentage. I ran a held-out evaluation, then used its failures to fix the extractor, which burns that holdout. Any number I quoted today would be inflated. A fresh untouched holdout is the next task. Until then every record carries a confidence tier and only the CONFIRMED tier is presented as fact.
– No spend or impression estimates. This answers who advertises where, not how much they paid.
Free tier is 200 requests/month, paid is $49/$199/$499. Keys are not self-serve yet, so the page is an early-access list rather than a checkout.
Two things I would actually like this sub’s read on: is a per-record evidence string useful to you, or is it dead weight next to a confidence score? And what would you want joined onto this that is missing (show category, audience estimates, historical backfill)?
submitted by /u/Smart-Farmer1966
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