01
Executive summary
A single-page narrative the buyer reads first — the takeaways, the numbers, the recommendation. Written for the decision-maker, not the analyst.
Research-grade reports on any entity, built on demand.
A bespoke intelligence report — built from public records, enrichment APIs, and your own systems, then synthesized into a citation-backed deliverable. We aggregate, enrich, verify, and write — so you read findings, not raw data. Fully managed by RevenuePoint.
From $6,800 · Citation-backed · Named-analyst reviewed.
RevenuePointIntelligence Report
Generated
Apr 2026
Analyst
Scope
Executive summary
By severity
2
5
8
11
Key findings
HI
ME
LO
Confidential — illustrative mock. Final reports are branded, citation-backed, and delivered as PDF + structured data.
What you receive
A report a decision-maker can read in ten minutes.
Every Intelligence Report follows the same shape — written for the person who has to act on it, with the supporting research one click away.
02
Key intelligence
Structured KPIs and entity facts surfaced as scannable tiles — ownership, financials, risk indicators, relationships, signals over time.
03
Findings, severity-tagged
What the research uncovered, scored Critical · High · Medium · Low. Each finding cites its source and links back to the underlying record.
04
Recommended actions
A prioritized list with effort scoping (Small · Medium · Large). Specific, attributable, and ordered so the team knows what to do Monday.
05
Source citations & methodology
Every claim traces back to a URL, document, or record ID. The methodology section explains which sources were used, how they were verified, and what was excluded.
End-to-end pipeline
Aggregate. Enrich. Verify. Generate.
A senior research analyst orchestrates the pipeline through the RevenuePoint AI Research Platform. You see findings, not raw data.
i
Define
A named research analyst scopes the entity, the fields you need, the sources to draw from, and the cadence — recurring, one-shot, or batch.
ii
Aggregate
Data is pulled from public records, enrichment APIs, and your own systems through the RevenuePoint AI Research Platform. Licensed sources are negotiated per engagement.
iii
Enrich & verify
Multi-source cross-checks, confidence scoring per claim, and a two-pass agentic verification — a researcher agent assembles, a critic agent challenges.
iv
Generate, QA, deliver
AI-driven synthesis writes the report. A senior analyst reviews and source-verifies before delivery. You receive a branded PDF and the structured data behind it.
Use cases
Research on any entity worth knowing about.
Six places teams already engage us. The pipeline is the same; the entity changes.
Property intelligence
For property managers and asset managers — owner records, tax history, code violations, comparable sales, and tenant signals on every property in scope.
Property management →Account research
For sales and RevOps — pre-meeting briefings on the buyer, the buying committee, the account, and the signals worth referencing in the first call.
Donor research
For development and major-gifts officers — wealth screens, giving history, board affiliations, and personal connections, sourced from public records.
Nonprofit →Vendor due diligence
For procurement and risk — corporate filings, ownership chains, sanctions exposure, litigation history, and operational signals before the contract.
Candidate research
For executive recruiting and hiring committees — career history corroboration, public statements, board service, and reputational signals.
Competitive intelligence
For product and strategy teams — funding signals, hiring patterns, product moves, customer overlap, and channel partner dynamics tracked over time.
Enrichment sources
Every source named. Every claim cited.
Coverage spans seven categories of structured and open-web data. We negotiate licensing per engagement and disclose every source on the report.
People & B2B
Contact, role, and behavioral signal data on individual professionals.
- Apollo
- LinkedIn (public)
- ZoomInfo
- Lusha
- People Data Labs
- Clearbit
- Hunter
- RocketReach
Companies
Firmographic, ownership, and financial signal data on organizations.
- Crunchbase
- Dun & Bradstreet
- OpenCorporates
- ZoomInfo
- PitchBook
Public records
Government filings, court records, and regulatory disclosures.
- SEC EDGAR
- PACER
- IRS 990s
- State Secretary of State filings
- UCC filings
- Court records
Property
Property records, valuations, and parcel-level enrichment.
- ATTOM
- CoreLogic
- Regrid
- Reonomy
- County assessor portals
- MLS (where licensed)
News & media
Mentions, sentiment, and event detection across media outlets.
- GDELT
- NewsAPI
- Bloomberg
- Factiva (where licensed)
- Google News
Government
Federal, state, and regulatory data for compliance and exposure checks.
- USAspending.gov
- OFAC sanctions lists
- FDA databases
- FCC filings
- State procurement portals
Web
Open-web sources for verification and longitudinal context.
- archive.org
- Common Crawl
- GitHub
- Custom scrapers (robots.txt-respecting)
Coverage varies by engagement. Vendor licensing is handled per project; public sources are used everywhere. If you require a source not listed, we will scope it during the call.
QA & accuracy
A report you can put in front of a board.
Six commitments that hold across every engagement. The pipeline is auditable end-to-end and source-verified by a senior analyst before delivery.
01
Citations on every claim
Every fact in the report links to its source — a URL, a document, or a record ID. No unsourced assertions.
02
Multi-source corroboration
Claims that require confidence are verified against two or more independent sources. The confidence score appears next to the claim.
03
Two-pass agentic verification
A researcher agent assembles the report. A critic agent challenges every finding before any human reviews it.
04
Named-analyst review
Every report is reviewed by a named RevenuePoint analyst before it ships. The analyst is accountable for accuracy and is who you call with questions.
05
Auditable trail
Pipeline runs are logged. Sources, prompts, intermediate outputs, and final report are reproducible on request — for compliance, dispute, or QA review.
06
In-scope re-runs included
Corrections, scope refinements, and re-runs within the agreed engagement are included. You are not re-billed for the same pipeline.
Included in Foundry
Prism reports the inside. Intelligence Reports research the outside.
Foundry Prism
Templated, internal-data reports generated on demand from your warehouse. Best for operational reporting on the cadence you set.
Intelligence Reports
Bespoke, on-demand research from external sources — public records, enrichment APIs, the open web. Best for due diligence, account research, and external context.
Many customers run both. See Foundry →
Hourly setup. Token costs at cost.
Starting at $6,800.
Pipeline build, research orchestration, and first report — billed hourly against a scoped estimate.
Intelligence Reports — pipeline setup
Billed hourly · scoped before invoicing
From $6,800
+ Agentic AI token costs, passed through at cost.
Itemized monthly · you see exactly where AI spend lands.
- Scoping call with a named research analyst
- Pipeline build inside the RevenuePoint AI Research Platform
- Source licensing handled per engagement
- Branded PDF + structured data export
- Two-pass agentic verification + named-analyst review
- Auditable run log with sources, prompts, and outputs
- In-scope re-runs included during the engagement
Recurring engagements priced per cadence. Final scope and timeline confirmed in a 30-minute scoping call before invoicing.
Frequently asked
What teams ask before they engage.
Commission a report
Tell us what you need to know — about whom.
A scoping call confirms fit, sources, cadence, and timeline. We price the engagement before any work begins — fixed fee per report, starting at $6,800.