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ValueinValuein
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Prove your edge with receipts

Every thesis and claim scored over time — a verifiable track record for an allocator, a boss, or your followers.

The problem

"Trust me, I called it" doesn't raise capital or win followers. Without a time-stamped, scored record, your best calls are indistinguishable from luck — and your process is invisible to anyone evaluating you.

How Valuein does it

  1. 1

    Write claims, not vibes

    save_claim records an atomic, evidence-backed statement cited to a filing; link_claim_to_thesis composes claims into a thesis with conviction and horizon.

  2. 2

    Let the data grade you

    score_claim and score_thesis_outcome auto-grade your calls against what actually happened — your accuracy is measured, not asserted.

  3. 3

    Make it public on your terms

    list_public_theses_by_user powers a public @handle profile with your scored track record — an SEO/AEO-indexed page that turns your research into reputation.

In practice

In the Workspace

You ask

Log a claim: 'Gross margin re-rates above 60% within 4 quarters' tied to my long thesis, cited to the latest 10-Q.

Valuein returns

Claim saved + linked to the thesis, cited to the filing. It will auto-score as quarters print, updating your public accuracy track record.

The outcome

Your edge becomes provable — a compounding, auditable record you can take to an allocator, a boss, or an audience.

Powered by

save_claimsave_thesislink_claim_to_thesisscore_thesis_outcomescore_claimlist_public_theses_by_user

Frequently asked

Is my research public by default?

No — theses, claims, and reports are private by default. You choose what to publish to your @handle profile and what to keep private or share by link.

How are claims scored?

Each claim is an evidence-backed, testable statement cited to a filing. As new data arrives it's auto-graded against the outcome, building a measured accuracy record over time.

Related use cases

Do this with your own data — free.

The free S&P 500 tier needs no credit card. One token works across MCP, the Python SDK, and the Workspace.