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Business Frameworks – Market Shock Pass-Through Verdict (market/decide/shock@1.2)
x402
Business Frameworks – Market Shock Pass-Through Verdict (market/decide/shock@1.2) is a paid API for AI agents from business-frameworks.matryoshka-paradigms.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-17).
Applies a deterministic supply-chain shock rule to produce a verdict on whether a market node can pass through a given shock, including step count, lag, and a transfer test.
Price / call$0.05
Success—
StatusUnknown
How this service works
Business Frameworks · business-frameworks/market/decide/shock@1.2, applied — POST the shock type, the node's marginal buyer tiers, the propensity read, the driver share, lead time and horizon, and an analog if one exists; get the verdict steps and the lag that reach the seat, with the transfer test applied. Deterministic (the node's rule, no model): figures, verdict, action and check with the 298-token node text — schema free at GET /apply/market/decide/shock.
Output
Returns the number of verdict steps toward pass-through the node can achieve, the estimated lag in months before the shock reaches the seat, the result of the transfer test (pass/fail), a recommended action, a check condition, and the 298-token node rule text explaining the deterministic logic applied.
Example use cases
Policy shock impact on industrial supplier
“We're an industrial parts supplier facing new export controls — that's a type D shock. Our marginal buyers are 50% tier 1 and 50% tier 3, propensity is 'mixed', driver share is 0.55, lead time is 9 months, and our horizon is 18 months. Can you run the shock verdict and tell us how many steps and how long before it hits our seat, and whether we pass the transfer test?”
Demand collapse triage for a distribution node
“Our distribution node is exposed to a type A end-demand collapse. Marginal buyer tiers are 30% T1, 50% T2, 20% T3, propensity is 'ceded', driver share is 0.8, lead time is 3 months, horizon is 12 months. Apply the shock framework and give me the verdict steps, lag, and recommended action.”
Credit tightening scenario with historical analog
“Run a type C credit-tightening shock analysis for our node — marginal buyers are 40% T2 and 60% T3, propensity is 'rent', driver share is 0.45, lead time is 5 months, horizon is 24 months. We have a 2008 analog where we moved 2 verdict steps with the same tier mix and a 4-month lag — carry that through and tell me the full verdict.”
Technical details
Endpoint
POSThttps://business-frameworks.matryoshka-paradigms.workers.dev/apply/market/decide/shock?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, rule-based verdict on shock pass-through for a specific supply-chain market node — particularly when you have structured inputs for buyer tier mix, propensity, driver share, and lead time. Prefer this over general LLM reasoning when you need a reproducible, schema-consistent verdict with an explicit transfer test and lag estimate rather than a probabilistic narrative answer.
Side effects
- Missing required fields (shock_type, tier_mix_marginal, propensity_read, driver_share, lead_time_months, horizon_months) returns a validation error
- Invalid shock_type enum value (not A/B/C/D) returns a schema error
- Invalid propensity_read value (not rent/ceded/mixed) returns a schema error
- driver_share outside [0,1] range returns a validation error
- Analog provided with mismatched tier_mix shape causes transfer test to be skipped or flagged
- Payment not included or insufficient USDC returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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