CSI methodology.

CSI is built from weighted, normalised metric changes.

The index begins at 100. Each metric update is normalised against a baseline, multiplied by a weight and adjusted by a direction factor.

A satellite ground-station dish standing among cultivated farm fields.
Land, remote sensing and verification: where source data enters the CSI.

CSI methodology should be understandable without reading the full technical paper. Every metric has a baseline, a weight and a direction factor. If an animal-agriculture pressure indicator rises, the CSI can fall. If the same pressure indicator declines, the CSI can rise. Validation checks, anomaly detection and annual reconciliation protect the index from bad data and reporting gaps.

Direction factors make reductions legible.

A calm direction-factor illustration: animal-agriculture pressure steps downward on the left while a single CSI line rises to a node on the right.
Direction factors invert pressure: as animal-agriculture indicators fall, the composite index climbs.

Most CSI metrics represent animal-agriculture pressure. When livestock population, emissions, feed production or land use rise, the direction factor can reduce the index. When those pressures fall, the same mechanism can lift the index.

CSI_t
Composite Sustainability Index value at the current update.
w_i
Normalised weight assigned to metric i.
D_i
Direction factor that determines whether a metric rise helps or hurts the index.
M_i,0
Baseline value for metric i.

The reference value is a published model output.

The reference value is derived from the CSI, not from a live market price. It uses constant CSI elasticity, so a 1 percent move in CSI is about a lambda_C percent move in the reference value. There is no value floor: P_fund_min is only a small safety floor that keeps ratios defined near zero, not a redemption value. It is defined as a ratio of the base normalisation, P_fund_min = epsilon_fund times P0, so the floor stays scale-invariant if P0 ever moves off 1.0. At CSI 100 the figure is P0, and it falls multiplicatively as the CSI falls. It is a transparency signal, not a price guarantee, redemption right or appreciation promise, and the CSI never changes user balances in v1.

P_fund = max(P_fund_min, P0 times (CSI / 100) to the power lambda_C), with P0 = 1.0, lambda_C the CSI exposure elasticity (interim default 0.60) and P_fund_min = epsilon_fund times P0 (interim epsilon_fund = 0.01). At the provisional CSI 77.71 the reference value is 0.8596. This is the same model (reference model constant_elasticity_v1) the tokenomics page states and the CSI engine computes (ADR-008). The canonical reference updates only on a certified, final CSI snapshot; provisional CSI drives a display estimate only. The wider pipeline is CSI_meas to CSI_ref to P_fund to the observe-only control anchor P_ctrl.

P0
Base reference normalisation, 1.0 in v1. Not a guaranteed price.
lambda_C
CSI exposure elasticity, calibrated by simulation and governance; 1.00 full exposure, 0.60 damped (interim default), 0.00 observe-only.
P_fund_min
A small positive safety floor that keeps ratios and gap metrics defined near zero, defined as the ratio epsilon_fund times P0 so it stays scale-invariant. Not a value or redemption floor; interim, calibration-pending.
epsilon_fund
The safety-floor ratio against P0 (0 < epsilon_fund << 1; interim 0.01). The floor P_fund_min is epsilon_fund times P0, not a naked constant.
CSI_ref
The certified (final, controller-eligible) CSI. Provisional or disputed CSI holds the last certified value for the canonical reference.
Reserves and liquidity
Shape the controller damping (Omega) and bands, never the reference value, to avoid reflexive feedback.

Validation protects the index from bad inputs.

Every update runs through the same pipeline before it can move the index. Each stage is inspectable on its own, and an update only counts once it has cleared them all.

  1. 1

    Source ingestion

    Data arrives from trusted statistical, research, satellite, market or administrative sources.

    Three public source cards — statistical, satellite and trade — feeding along thin lines into a single ingestion inbox.
  2. 2

    Format checks

    The system rejects missing fields, impossible values and malformed reporting periods.

    A data record whose valid fields are ticked while one impossible value is rejected with a cross.
  3. 3

    Cross-source checks

    The system compares each metric with related indicators and alternative sources.

    Two source series overlaid inside a card and broadly agreeing, marked as a cross-source check.
  4. 4

    Anomaly detection

    Controls flag unusual spikes, drops and unexplained patterns.

    A calm data line with a single flagged spike marked by a ringed point against a faint reference band.
  5. 5

    Manual review

    A review process investigates unresolved anomalies before publication.

    A magnifier inspecting a record sheet, confirmed with a green tick.
  6. 6

    CSI update

    Confirmed data updates the relevant sub-index and consolidated CSI.

    Coverage, accuracy and timeliness chips feeding into a single CSI node at its baseline of 100.