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claim_id
stringclasses
5 values
exact_public_text
float64
claim_class
stringclasses
5 values
scope
float64
metric
float64
unit
float64
time_window
float64
comparator
float64
evidence_ref
float64
evidence_locator
float64
observed_at
float64
retrieved_at
float64
method_version
float64
state
stringclasses
1 value
limitations
float64
owner
float64
reviewed_at
stringdate
2026-07-20 00:00:00
2026-07-20 00:00:00
supersedes
float64
CLAIM-IDENTITY-001
null
identity
null
null
null
null
null
null
null
null
null
null
unsupported
null
null
2026-07-20
null
CLAIM-QUANTITATIVE-001
null
quantitative
null
null
null
null
null
null
null
null
null
null
unsupported
null
null
2026-07-20
null
CLAIM-COMPARATIVE-001
null
comparative
null
null
null
null
null
null
null
null
null
null
unsupported
null
null
2026-07-20
null
CLAIM-CAPABILITY-001
null
capability
null
null
null
null
null
null
null
null
null
null
unsupported
null
null
2026-07-20
null
CLAIM-OUTCOME-001
null
outcome
null
null
null
null
null
null
null
null
null
null
unsupported
null
null
2026-07-20
null

Startup Credibility Claim Matrix

This open dataset gives founders a machine-readable way to connect the exact claim an outside reader sees with its evidence, method, date, state, limitations and human owner.

Dataset Structure

The template configuration contains one blank starter row for each claim class:

  • identity;
  • quantitative;
  • comparative;
  • capability;
  • outcome.

The fictional-example configuration shows five review states using the synthetic company Fictional Northstar Robotics. The data-dictionary configuration defines all 18 fields and controlled values.

Intended Use and Limits

Use the matrix before publishing a pitch deck, investor memo, website or data-room index. Copy the exact public wording, identify its scope and class, then record the evidence locator, method, observation date, review state, limitations and owner.

A linked source does not prove a claim is correct, complete or current. A broken, private or missing artifact remains visible as a gap. Planned capabilities, internal estimates and observed results stay separate.

This dataset contains no real company or personal data. It does not validate claims, calculate a company score, predict funding, provide investment advice or replace founder judgement, investor judgement or full due diligence.

DDScore Context

DDScore turns submitted private-company materials into a structured 0–100 Due Diligence Score and full written report across 12 dimensions. It checks relevant claims against current public sources, shows confidence and gaps and supports an outside first pass. It does not provide investment advice or replace human judgement or full due diligence.

See DDScore for founders

Disclosure: I work on DDScore at Playful Pixels Oy.

License

CC BY 4.0. Attribution: Playful Pixels Oy / DDScore.ai.

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