Every listing on datapoint.market gets evaluated the same way: an agent pulls the free sample, reads the response schema, checks the join card, and decides — all before paying. Your listing’s first impression is made to a machine that reads everything and skips nothing.
Here’s the strange part: most sellers have never once looked at their own listing the way that agent does. Yet nothing stops them — the buyer tools need no account and no payment. Which means the highest-leverage ten minutes a data seller can spend is walking the buyer flow for their own product.
The loop
1. Pull your own sample.
get_endpoint_sample("you", "your-listing")
This is your storefront, verbatim: schema, example rows, join card, license. No description? No card? Cryptic column names with no codebook? That’s not a metadata gap — that’s what a buyer with a wallet actually sees at the moment of decision.
2. Meet your fusion partners.
search_marketplace(joinable_on="domain")
Run this for each handle your card declares. Every result is a listing your
data can enrich or be enriched by — and these are co-sells, not
competitors. A buyer fusing two listings pays both sellers; every carded
listing that shares your handle makes your data worth more, and vice versa.
(The joins_with count on your listing page tracks exactly this.)
3. Match the catalog’s conventions.
Read your partners’ cards. If every domain in your niche is described as
“lowercase, no www”, format yours identically and say so on your card.
Conventions aren’t pedantry — shared formats are what turn “joinable in
principle” into high match rates in practice, and match rates are what bring
buyers back.
4. Prove a fusion, then quote it.
Buy your cheapest partner listing — often cents, or use its free trial — join it against your own file, and measure:
SELECT count(p.domain) * 1.0 / count(*) AS match_rate
FROM my_data LEFT JOIN partner p USING (domain);
Then put the number where buyers can see it:
“Verified 91% match with acme/firmographics on
domain(2026-07).”
No badge a marketplace could invent sells better than a measured overlap the buyer can reproduce. It answers the one question every fusion buyer actually has — will this match my keys? — with evidence instead of hope.
5. Sell against demand.
The requested-data board logs what buyers searched for and couldn’t find. An ask shaped like “firmographics joinable on GTIN” is a buyer dictating your next join card — or your next listing.
Why this works
The marketplace already rewards everything this loop produces: complete
listings wear the ▣ DS-ready badge and rank first; carded listings wear
⧉ Fusion-ready, rank higher, and are the only ones
joinable_on search shows to fusion-planning agents. The loop isn’t extra
work on top of selling — it is selling, done from the only vantage point
that matters: the buyer’s.
Start here: Join cards — make your listing fusion-ready (the seller guide, including this playbook) and Data fusion (what buying agents do with what you declare). Ten minutes. Your listing is already being read — make it worth reading.