Use casesPricingMCPStatus
Sign in
Use case

Put receipts behind every claim

AI wrote it. Receipts got it approved.

Get early accessRead the docs

Updated August 17, 2026

Where one brand's mentions actually come from
Social posts
784
News and web
70

Live brand.mentions.summary pull, Liquid Death, 30 days: 854 mentions, every one linking to the post or article behind it.

180+brands indexed
56endpoints
13data sources
5,000free credits

The short answer

When machine-made work needs a human sign-off, you want verbatims and sources attached to every claim, so approval takes minutes and slop dies in review. Adveron is built for exactly this: every data point it returns carries its sources, so a claim in the draft can arrive with the posts, mentions, and ads that back it already attached.

Sources on every data point

Everything Adveron returns carries its sources, so claims arrive with their evidence already attached.

Approval in minutes

A human sign-off checks receipts instead of hunting for them, and slop dies in review.

Built for machine-made work

The verification layer that lets agent-drafted work move at agent speed without shipping unbacked claims.

How it works

The bottleneck in AI-produced work moved to review. A reviewer facing an unsourced draft has two bad options: trust it, or re-research it, and the second one costs more than writing it by hand would have. Sourced generation dissolves the choice. When the audience insight cites its posts and the competitive claim links its ads, the reviewer verifies by clicking, and the review becomes an approval instead of an investigation.

The mechanism is upstream, not cosmetic: the drafting agent pulls its facts through the API, where every response carries source links, and the draft inherits the citations because the facts arrived with them. Claims that cannot be grounded that way have nothing to attach, which makes them visible, and that visibility is what kills slop in review rather than in the market.

Illustrative request and response

GET /v1/brands/{brand_id}/mentions/summary?start_date=2026-07-18&end_date=2026-08-17
{
"brand": "liquid-death",
"by_source": {
"social": 784,
"news": 70
},
"window": "30d"
}

Early access. 5,000 free credits, no card.

Get early access

Runs on

/v1/brands/{brand_id}/mentionsBrand and category claims with the source posts attached.
/v1/audiences/{audience_id}/postsAudience verbatims, each linked to where it was said.
MCP serverLet the drafting agent pull sourced facts inside its loop.

Questions teams ask

What counts as a receipt?

A link to the primary evidence: the post where the audience said it, the mention where the claim appeared, the ad where the competitor ran it. A receipt is checkable in one click; a paraphrased summary is not a receipt.

Does sourcing slow the drafting agents down?

It changes where the time goes rather than adding time. Facts pulled through the API arrive with sources already attached, so the draft carries its citations from the start, and the minutes saved in every review round repay the setup many times over.

Keep reading

Ground your AI in real dataThe generation-side half of the same discipline.MCP serverThe wiring that puts sourced data inside agent loops.

Get early access

Adveron is opening to a first wave of teams. Ask for a key and we will open your workspace with one credential for REST and MCP. Usage-priced credits, no seat licenses.

Get early access
Adveron — brand, category, and audience intelligence.
API referenceInstructionsStatusGoogle WorkspacePrivacyTermsData deletionSign in