AI data broker guides & worksheets
Start with the decision you need to make: choose an intermediary, compare its fees, or qualify a buyer. Then prepare a bounded brief for your dataset type.
Broker briefs
Technical manuals: prepare a broker-ready dataset brief
Describe manual families, revisions, extraction quality, and source boundaries before asking a broker to qualify a technical-document dataset.
Read the guide Broker briefsInspection images: prepare a broker-ready dataset brief
Count distinct inspected parts, document defect labels, and explain camera conditions so an intermediary can qualify an inspection-image inquiry.
Read the guide Broker briefsProduct catalogs: prepare a broker-ready dataset brief
Prepare product and variant counts, field-level provenance, update history, and missingness for an AI data broker’s first review.
Read the guide Broker briefsVideo archives: prepare a broker-ready dataset brief
Describe distinct recordings, derived clips, transcripts, subject coverage, and review boundaries before a broker pitches an archive.
Read the guide Broker briefsSupport knowledge bases: prepare a broker-ready brief
Separate approved help articles from customer tickets, document revisions and product coverage, and prepare a bounded knowledge-base brief.
Read the guidePreparation guide
How to choose an AI data broker
Compare intermediary roles, buyer-access evidence, conflicts, exclusivity, and reporting before appointing an AI data broker.
Read the guide Preparation guideData broker fees: compare proposals and net proceeds
Use a two-proposal fee calculator, a no-sale scenario, and a contract checklist to compare data broker commissions, retainers, and preparation costs.
Read the guide Preparation guideQualify an AI data buyer: discovery worksheet
Use a practical buyer qualification worksheet to record the task, evaluator, budget status, sample boundaries, and next decision before preparing data.
Read the guide Preparation guideAI data broker vs marketplace vs direct outreach
Compare who finds prospects, qualifies buyers, negotiates scope, and handles delivery across three ways to explore a business dataset sale.
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