Methodology.
How we structure listings, verify evidence, compute benchmarks and match supply to demand. Version 0.3 — evolves as the market evolves.
Listing structure
Every listing is captured against a fixed schema — Metric version, distinctiveness, condition, strategic significance, spatial risk, time and difficulty multipliers, baseline / target / delivery / remaining units, LPA, NCA, catchment, planning stage. Free-text is only accepted alongside the structured record.
Governance disclosure
Each listing carries a governance record: Register ID, HMMP status, monitoring frequency, financial security, Responsible Body, additionality declaration, stacking / bundling flags. RAG signals are computed from those disclosures — not from marketing copy.
Verification levels
Three tiers: (1) Self-declared — operator statement; (2) Document-checked — Verdaq staff have sighted the HMMP, deed and register entry; (3) Independent — a named ecologist or Responsible Body confirms delivery evidence. The tier is shown on every listing and cannot be edited by operators.
Benchmark methodology
Regional and habitat benchmarks are the median of the trailing 12 months of Verdaq-observed transactions and publicly disclosed prices. Q1 / Q3 shown; sample size published. Where sample size < 5 for a cell, the median is suppressed and marked as thin.
Matching engine
The Credit Finder ranks potentially suitable supply by: legal fit (LPA / catchment / spatial risk), Metric fit (distinctiveness / condition parity), timing (delivery window vs need date), governance tier and price. It never sorts by paid placement, and Verdaq takes no commission during the pilot.