SIA
FactcheckIQ
How it works · Verification pipeline
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FACTCHECKIQ

How a draft becomes a graded, sourced report in a single pass

INTERACTIVE
Sample scenario · Fairground (illustrative)
10 STEPS · 2 MODES · 6 VERDICTS · 5 PRINCIPLES · 11 METHODS
Raw draft in

Paste, Markdown, PDF, or DOCX. Every checkable claim is pulled out, word for word.

Fairground's draft blog post + 2 files
dc360-marketplace-gmv.pdf fairground-onboarding-post.docx

Marketplace infrastructure keeps attracting investment because the top 100 online marketplaces grew 2.9 percent in 2022 to $3.2 trillion in GMV. That tracks with the buyer side too: 67 percent of B2B buyers prefer a rep-free buying experience, proving marketplaces are how B2B commerce will be transacted. The momentum hasn’t slowed: the top 100 B2B marketplaces’ GMV grew 10.1 percent in 2024. Every operator we talk to already knows the average B2B marketplace take rate is 15 percent, and onboarding a new vendor takes three days industry-wide. That’s no accident: sellers offered flexible onboarding and payout schedules see 20 percent higher retention, which proves fast onboarding is why marketplaces are outgrowing traditional B2B sales. In fact, a 2025 Gartner study found marketplace infrastructure providers cut vendor onboarding time by 80 percent.

The ten step pipelinethe box below shows the step it is parked on. drive it with the player, or click any number
SPEED
MODE
STEP 01 / 10 · PLAYING

Sequential mode: one claim verified at a time, in the order shown below. Default for shorter drafts.

STEP 01

Intake & scope

Read the whole piece, then state plainly what is being checked and how many claims were found.

PASTEMARKDOWNPDFDOCXCLAIM COUNT
Graded report outone verdict per claim, each with a real source, never a placeholder
fact-check-report.mdFULL AUDIT · 2026 · 6 CLAIMS
1 Verified1 Partly accurate1 Misleading1 Unverifiable1 Inaccurate1 Fabricated
Not ready as written. Fix the Fabricated, Inaccurate, and Misleading claims first.
#
Claim as written
Verdict
What verification found
Source
1
The top 100 online marketplaces grew 2.9% in 2022 to $3.2 trillion in GMV
Verified
Digital Commerce 360's Top 100 Marketplaces tracker recorded 2.9% growth to $3.2 trillion in combined third-party GMV for 2022.
2
67% of B2B buyers prefer a rep-free buying experience, proving marketplaces are how B2B commerce will be transacted
Partly accurate
The 67% figure is real, from Gartner's 2026 B2B buying survey, but it measures preference for self-service, rep-free purchasing in general. Gartner's survey doesn't single out marketplaces as the channel buyers want; that leap is the draft's, not Gartner's.
3
Digital Commerce 360 found the top 100 B2B marketplaces' GMV grew 10.1% in 2024
Inaccurate
Digital Commerce 360's 10.1% figure is a projected growth rate for 2025 (to $3.2 trillion), not a result reported for 2024. The year is misstated.
4
The average B2B marketplace take rate is 15%, and onboarding a new vendor takes three days industry-wide
Unverifiable
Both figures circulate across marketplace-SaaS marketing blogs with no named study, sample, or methodology behind either one. Widely repeated, never traced to primary data.
5
Sellers offered flexible onboarding and payout schedules see 20% higher retention, which proves fast onboarding is why marketplaces are outgrowing traditional B2B sales
Misleading
The 20% retention figure traces to real marketplace seller-retention research, but it's a correlation between onboarding flexibility and seller retention, not evidence that onboarding speed explains marketplace growth over traditional sales channels. “Proves” claims causation the underlying data doesn't support.
Marketplace seller-retention research (correlational)
6
A 2025 Gartner study found marketplace infrastructure providers cut vendor onboarding time by 80%
Fabricated
No such study exists. A search of Gartner's published research and newsroom returns nothing matching this claim.
none found
The verdict scaleCONFIRMED INVENTED
Verified

A primary source, ideally two, confirms it as written.

Partly accurate

The core is right, but a detail is off, dated, or loosely rounded.

Misleading

Traceable, but stripped context or framing claims more than the source supports.

?Unverifiable

We searched and found no reliable source either way. It may be true, but it cannot be confirmed as written. Action: add a citation or cut it.

Inaccurate

A credible source directly contradicts it.

Fabricated

We checked, and the cited study, source, or quote does not exist, or the real source says something different. Action: remove it.

The difference: Unverifiable means we could not find evidence either way (absence of evidence). Fabricated means we found evidence it is invented or wrong (evidence of absence). Never treat one as the other.

Verification frameworks5 cross-cutting principles · the heart of the skill

The ten steps are the sequence claims move through. These five principles are the standards applied at every step, plus six more woven directly into steps 04, 05, 06, 08 and 09 above, and one (parallel verification) behind the 2 MODES stat up top. Eleven methods, one skill.

1Lateral reading / SIFT

Judge a claim by opening other sources, not by reading further down the same page.

Every load-bearing claim is checked away from the document, following SIFT's four moves: Stop, Investigate the source, Find better coverage, Trace to the original.

In plain terms: Don't trust a page to vouch for itself. Open up what independent sources say, then decide.

APPLIES AT STEPS 3, 4, 5
2IFCN / Poynter standards

The professional code real fact-checking organisations operate under.

Non-partisanship, transparency about sources and method, and visible corrections, borrowed from the International Fact-Checking Network.

In plain terms: The rulebook serious fact-checkers sign onto. The skill works to that standard.

APPLIES AT STEPS 1 TO 10
3Primary-source tracing

Follow every claim back to where it actually originated.

Statistics and quotes are traced past any secondary report to the original dataset, paper, or transcript.

In plain terms: A primary source is the original, not someone repeating it.

APPLIES AT STEPS 4, 5, 6
4Source-reliability tiers

Rank every source before trusting it.

T1Primary — dataset, paper, transcript
T2Reputable secondary — major news, institutions
T3Weak — blogs, marketing, Wikipedia
T4Unreliable — farms, AI pages, spam

In plain terms: A claim is only “Verified” on T1 or T2. The skill won't bless anything lower.

APPLIES AT STEPS 4, 5, 9
5Prompt-injection hygiene

A safety guard for a tool that reads the open web.

Any instruction found inside a fetched page is treated as suspicious data to report, never as a command to obey.

In plain terms: Bad actors hide commands inside web pages to trick AI. The skill reads those as content to flag, not orders to follow.

APPLIES AT STEPS 4, 5, 7
6Parallel verification · the 2nd mode

Rigour that is too slow to use does not get used.

Many claims can be verified concurrently with helper agents, then aggregated, applying the same rules to each. This is “Parallel” mode, the second of the 2 MODES above, alongside default Sequential mode.

In plain terms: For a long piece, the skill checks many claims at once instead of one by one. Same standards, less waiting.

THE 2ND OF THE 2 MODES

Rigour that is too slow to use does not get used.

The design principle behind all 11 methods
11 ×
What this is

A safety net, not a ghostwriter

Spell-check caught typos. Grammar-check caught grammar. FactcheckIQ catches the false claim and the invented source, before your reader does. It works the same whether a person or an AI wrote the draft: it verifies, and it never writes for you. Like the typewriter, spell-check, and Grammarly before it, this is a tool that makes writers more trustworthy, not obsolete.

For human writers and AI drafts alike
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FactcheckIQ is available to EMOS Platform members.

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FACTCHECKIQCatch the made up statistic before your reader does.