Parafact is a capable, well-positioned fact-checker. It checks human or AI-written text in real time, returns a citation for every claim, and reports around 93% accuracy. Say you write short pieces and want fast, sourced checks. It does the job.
TrueStandard takes a different position on purpose. It does not hand your draft to one model. It runs the same claims through several frontier models, then shows you where they agree, where they disagree, and what still needs a human look. And there is no limit on how long your draft can be.
At a glance
Both tools answer 'are the claims in this draft true?' They answer it differently.
| Dimension | TrueStandard | Parafact |
|---|---|---|
| Verification method | Multi-model consensus — several frontier models, disagreement shown | Single model, one verdict per claim |
| Stated accuracy | Consensus surfaces uncertainty instead of a single score | ~93% (self-reported) |
| Words per check | No per-check word ceiling | 500 (Essential) / 750 (Pro) / 1,000 (Enterprise) |
| Citations | Per-claim, plus flags for what to verify by hand | Per-claim citation |
| Starting price | Premium — priced as a verification layer | $20/month |
| Best fit | Long-form, high-stakes drafts | Short-form, fast turnaround |
One model vs. a panel
Parafact passes your claims to a single AI model and returns that model's judgment. This is fast, and much of the time it is right. The problem is built in: one model has no way to tell you when it is confidently wrong. There is no second opinion to disagree with the first.
TrueStandard runs the same claims through several frontier models and reports where they line up and where they split. Agreement raises your confidence. Disagreement is the alarm, and it points you straight at the claims worth checking yourself. One accuracy number cannot give you that, because it averages away the exact places a model is unsure.
The word-count ceiling
This is the difference most buyers miss until they hit it. Parafact's plans cap each check at 500 words (Essential), 750 (Pro), or 1,000 (Enterprise). A typical 2,000-word newsletter or blog post does not fit in one pass. You split it, check the parts one at a time, and lose the context across paragraphs, where contradictions often hide.
TrueStandard does not impose a per-check word ceiling. You verify the whole piece as one document, the way your reader will actually read it. Think of a solo publisher, or a content team shipping long-form on a deadline: for them the line is simple. One tool fits the workflow, the other fights it.
Pricing compared
Parafact's published plans, as of May 2026:
| Essential — $20/mo | 30,000 words/mo, max 500 words per check, source citations |
| Pro — $49/mo | 60,000 words/mo, max 750 words per check, developer API |
| Enterprise — custom | Unlimited words, max 1,000 words per check, priority support |
TrueStandard is priced higher, on purpose. It is built for work where one embarrassing or harmful error costs far more than the plan. That kind of stake earns a slow second opinion, not the cheapest check you can find. Say price per check is the only thing you care about, and Parafact wins that line item.
Who each is best for
Parafact is the better choice if
- — Most of your work is short — social posts, abstracts, single sections under 500–750 words
- — You want the lowest cost per check and fast turnaround
- — A single sourced verdict per claim is enough for your risk level
TrueStandard is the better choice if
- — You publish long-form — newsletters, articles, scripts — and need the whole draft checked at once
- — A missed claim damages your reputation or revenue. Shown doubt beats a confident guess
- — You want to see where models disagree, not just one answer
Switching from Parafact
There is nothing to migrate: verification tools hold no data you need to move. Take your next finished draft, the one you would split into 500-word chunks for Parafact, and paste it into TrueStandard whole instead. Then compare the two reports on the same piece. The honest test is simple. On the full document, does model disagreement catch something the single-model verdict did not?
Common questions
Is TrueStandard a replacement for Parafact?
Say your work is short-form and single-model checking suits you. Parafact is a reasonable tool. TrueStandard is the better fit when drafts run long, when a missed claim is expensive, or when you want to see model disagreement rather than one confident verdict.
Does Parafact really cap checks at 500–1,000 words?
Per Parafact's published plans (as of May 2026): Essential allows up to 500 words per check, Pro up to 750, and Enterprise up to 1,000. A 2,000-word newsletter has to be split across several checks. TrueStandard does not impose a per-check word ceiling.
Why does multi-model consensus matter for fact-checking?
A single model can be confidently wrong, and it has no way to flag its own blind spots. Run the claims through several models and disagreement shows up. That is exactly the signal you want: it tells you which claims to check by hand before you publish.
Is TrueStandard more expensive than Parafact?
Yes, and deliberately. Parafact starts at $20/month, and TrueStandard is priced as a verification layer for work where one error caught pays for the tool many times over. Say cost per check is your only test, and Parafact is cheaper.
Keep reading
AI Detector vs Fact Checker
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Does Claude Watermark My Writing?
Claude marks the words it chooses, and if you wrote them, there is almost nothing to mark.
AI Detectors Ask the Wrong Question
They flag honest writers. They mark famous human documents as AI, and OpenAI quietly killed its own detector. But the deeper problem is not that detection is unreliable. It is that 'was this written by AI?' was never the question that protects you.
GPTZero's Hallucination Detector, Explained
It catches citations that don't exist. By GPTZero's own admission, it does not check whether what you wrote is true. Here is exactly what its hallucination and source tools do. Here is where the gap is, and what closes it.
TrueStandard vs Omniscient AI
Both run several models, and both show where those models agree. The difference is the moment each one is built for. Omniscient checks what you are reading. TrueStandard checks what you are about to publish.
Check the whole draft, not 500 words of it
Run your next piece through multi-model consensus. There is no per-check word ceiling, and disagreement is shown as a feature, not hidden behind one confident answer.
Verify a draft