Use casesPricingMCPStatus
Sign in
Use case

Prove it worked

The report that used to eat your Friday now writes itself. With receipts.

Get early accessRead the docs

Updated August 17, 2026

This period against last, same basis
This quarter
118
Last quarter
92

Example shape, brand.overview across two periods. Same computation both periods, so the delta is real.

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

The short answer

When the monthly report is due, you want the results assembled with receipts, versus category, versus last month, so proving the work doesn't cost a week of doing it. Adveron supplies the assembled evidence: consistent measurements over time, the category baseline for every number, and source links behind every claim, ready to drop into whatever the report looks like.

Receipts, assembled

Results versus category, versus last month, with source links behind every claim.

Consistent over time

The same measurement every period, so deltas are real and defensible.

A report, not a week

The evidence arrives ready to drop into whatever the report looks like.

How it works

Reporting eats time because the evidence lives in pieces: this month's numbers in one tool, last month's in a spreadsheet, the category context nowhere, and the sources behind any claim a manual hunt. Assembling it is not analysis, it is collation, and it consumes the day that should have gone to the work being reported on.

Consistent daily measurement collapses the collation: the month-over-month read falls out of stored snapshots, the versus-category read falls out of the benchmark, and every number stays traceable to the posts and ads behind it. What remains is the part worth a human: deciding what the numbers mean and what to do next month. Teams that report through agents wire the same pulls into a template and start Friday with a draft instead of a blank page.

Example request and response

POST /v1/brands/{brand_id}/benchmark {"dataset":"all","window":"30d"}
{
"brand": "your-brand",
"this_period": 873,
"prior_period": 610,
"change": "+43%"
}

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

Get early access

Runs on

/v1/brands/{brand_id}/overviewThe period's brand picture on the same basis as last period's.
POST /v1/brands/{brand_id}/benchmarkThe versus-category column for every number.
/v1/brands/{brand_id}/mentions/summaryVolume and platform splits, with the trendline attached.

Questions teams ask

Does this generate the report itself?

It assembles the evidence layer: consistent numbers, baselines, and sources. Many teams pull that into their own template or have an agent draft around it. The judgment about what the month meant stays yours, which is the part the client is paying for.

What makes month-over-month comparisons trustworthy?

The same measurement taken the same way every day, with snapshots stored permanently. A trendline is only evidence if the yardstick never changed under it, and stored consistent measurement is what guarantees that.

Keep reading

Benchmark against the categoryThe baseline that makes every number in the report land.Track owned effectivenessThe post-level scoring underneath the monthly story.

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