Methodology

Evidence first, user priorities second, payment never.

Mishava scores facts from evidence, snapshots the reasoning, then lets users apply their own shopping priorities. Missing evidence lowers coverage and confidence; it does not create fake certainty.

Canonical chain

Evidence sources become evidence items, structured facts, indicators, SDG or pillar scores, snapshots, preference overlays, and then rankings.

Payment firewall

ranking_payment_boost_allowed is always false. Forbidden inputs include payment_status, subscription_tier, hosted_profile_enabled, claimed_profile_status, sponsorship_status, ad_spend, paid_boost, sales_commission, affiliate_fee, referral_fee, plan_key, billing_status, billing_interval, stripe_customer_id, stripe_subscription_id, stripe_subscription_status, current_period_end, cancel_at_period_end, setup_service_purchase, setup_service_status, checkout_session_id, invoice_status, sponsored_network_status, ai_parse_status, ai_suggestion_status, ai_provider, ai_model, ai_confidence, ai_estimated_cost.

Scoring version foundation

VersionStatusDefault pillar model
Mishava_Scoring_V2.01_2026.05.24Draft, not active until governance approvalLabor, environment, governance, and community start equal

SDG inspection list

SDG 1

No poverty

SDG 2

Zero hunger

SDG 3

Good health and well-being

SDG 4

Quality education

SDG 5

Gender equality

SDG 6

Clean water and sanitation

SDG 7

Affordable and clean energy

SDG 8

Decent work and economic growth

SDG 9

Industry, innovation and infrastructure

SDG 10

Reduced inequalities

SDG 11

Sustainable cities and communities

SDG 12

Responsible consumption and production

SDG 13

Climate action

SDG 14

Life below water

SDG 15

Life on land

SDG 16

Peace, justice and strong institutions

SDG 17

Partnerships for the goals