Client Reporting
Bound a supplied cohort with unresolved outcomes
Bound the final pass rate for a finite declared client pilot cohort while some acceptance outcomes are unresolved.
Experimental native example · local preview · revision 1
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What you need
- Authorized supplied facts matching the closed contract.
- Declared completeness, identity and unit assumptions reviewed by an agency operator.
Follow the workflow step by step
Supplied agency data
Receive the explicitly supplied manual input packet.
Bound a supplied cohort with unresolved outcomes
Bound the final pass rate for a finite declared client pilot cohort while some acceptance outcomes are unresolved.
Setup and review
- Download the workflow JSON from this page and inspect its inputs schema and Code node.
- Prepare a synthetic packet matching the input schema. Keep unknown values explicit and report completeness honestly.
- Review the on-page literal example before running your own supplied-data case.
- Inspect every unknown, tie, missing reference or bounded status before taking a downstream action.
Inspect every node
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Supplied agency data · wfManualTrigger
{
"label": "Supplied agency data"
}Bound a supplied cohort with unresolved outcomes · code
{
"code": "\nfunction fail(reason){throw new Error('input: '+reason);}\nfunction check(schema,value,where){\n if(value===null){if(schema.type==='null'||Array.isArray(schema.type)&&schema.type.includes('null'))return;fail(where+' wrong_type');}\n const type=Array.isArray(schema.type)?schema.type[0]:schema.type;\n if(type==='object'){\n if(!value||typeof value!=='object'||Array.isArray(value))fail(where+' wrong_type');\n for(const name of Object.keys(value))if(!Object.hasOwn(schema.properties,name))fail(where+' unknown_field');\n for(const name of schema.required)if(!Object.hasOwn(value,name))fail(where+' missing_field');\n for(const [name,shape]of Object.entries(schema.properties))check(shape,value[name],where+'.'+name);\n }else if(type==='array'){\n if(!Array.isArray(value)||value.length>schema.maxItems)fail(where+' array_bound');\n for(const item of value)check(schema.items,item,where+'[]');\n }else if(type==='string'){if(typeof value!=='string'||value.length>schema.maxLength)fail(where+' string_bound');}\n else if(type==='integer'){if(!Number.isSafeInteger(value)||value<schema.minimum||value>schema.maximum)fail(where+' integer_bound');}\n else if(type==='boolean'){if(typeof value!=='boolean')fail(where+' wrong_type');}\n else fail(where+' unsupported_type');\n}\nfunction id(value){if(typeof value!=='string'||!value||value.trim()!==value)fail('noncanonical_identity');return value;}\nfunction unique(values,reason){if(new Set(values).size!==values.length)fail(reason);}\nfunction safeAdd(a,b){if(a>Number.MAX_SAFE_INTEGER-b)fail('unsafe_sum');return a+b;}\nfunction day(value){if(!/^\\d{4}-\\d{2}-\\d{2}$/.test(value))fail('invalid_calendar_day');const ms=Date.parse(value+'T00:00:00Z');if(!Number.isFinite(ms)||new Date(ms).toISOString().slice(0,10)!==value)fail('invalid_calendar_day');return ms;}\nfunction refKey(ref){id(ref.assetId);if(ref.version<1)fail('positive_version_required');return JSON.stringify([ref.assetId,ref.version]);}\nfunction refValue(key){const pair=JSON.parse(key);return {assetId:pair[0],version:pair[1]};}\nfunction sortedRefs(keys){return [...keys].sort().map(refValue);}\n\nfunction lexIds(a,b){for(let i=0;i<Math.min(a.length,b.length);i++){if(a[i]<b[i])return -1;if(a[i]>b[i])return 1;}return a.length-b.length;}\nfunction maxSubset(rows,idField,feasible){let best=-1,ids=[],ties=0;for(let mask=0;mask<2**rows.length;mask++){const chosen=rows.filter((_,i)=>mask&(1<<i));if(!feasible(chosen))continue;const value=chosen.reduce((n,r)=>n+r.valuePoints,0),current=chosen.map(r=>r[idField]).sort();if(value>best){best=value;ids=current;ties=1;}else if(value===best){ties++;if(lexIds(current,ids)<0)ids=current;}}return {ids,value:best,ties};}\nfunction rat(n,d){if(d===0n)fail('zero_denominator');if(d<0n){n=-n;d=-d;}let a=n<0n?-n:n,b=d;while(b){const next=a%b;a=b;b=next;}return [n/a,d/a];}\nfunction ratAdd(a,b){return rat(a[0]*b[1]+b[0]*a[1],a[1]*b[1]);}\nfunction ratSub(a,b){return rat(a[0]*b[1]-b[0]*a[1],a[1]*b[1]);}\nfunction ratMul(a,b){return rat(a[0]*b[0],a[1]*b[1]);}\nfunction ratText(a){return a[0].toString()+'/'+a[1].toString();}\n\n\ncheck({\"type\":\"object\",\"properties\":{\"scopeId\":{\"type\":\"string\",\"maxLength\":128},\"selectionComplete\":{\"type\":[\"boolean\",\"null\"]},\"cohortSize\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1000000},\"successes\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1000000},\"failures\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1000000},\"unresolved\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1000000}},\"required\":[\"scopeId\",\"selectionComplete\",\"cohortSize\",\"successes\",\"failures\",\"unresolved\"],\"additionalProperties\":false},context.input,\"input\");\nconst result=(function outcomeBounds(x){\n id(x.scopeId);if(x.successes+x.failures+x.unresolved!==x.cohortSize)fail('cohort_partition_mismatch');const lower=x.successes,upper=x.successes+x.unresolved;\n return {status:!x.cohortSize?'empty_supplied_cohort':x.selectionComplete!==true?'bounded_incomplete_selection':!x.unresolved?'exact_within_supplied_cohort':'bounded_within_supplied_cohort',lowerSuccesses:lower,upperSuccesses:upper,lowerRate:x.cohortSize?ratText(rat(BigInt(lower),BigInt(x.cohortSize))):null,upperRate:x.cohortSize?ratText(rat(BigInt(upper),BigInt(x.cohortSize))):null};\n})(context.input);\ncheck({\"type\":\"object\",\"properties\":{\"status\":{\"type\":\"string\",\"maxLength\":128},\"lowerSuccesses\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1000000},\"upperSuccesses\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1000000},\"lowerRate\":{\"type\":[\"string\",\"null\"],\"maxLength\":256},\"upperRate\":{\"type\":[\"string\",\"null\"],\"maxLength\":256}},\"required\":[\"status\",\"lowerSuccesses\",\"upperSuccesses\",\"lowerRate\",\"upperRate\"],\"additionalProperties\":false},result,\"output\");\nreturn result;",
"label": "Bound a supplied cohort with unresolved outcomes",
"memoryLimit": 16,
"outputVar": "result",
"timeout": 1000
}Input and output contracts
Input
{
"type": "object",
"properties": {
"scopeId": {
"type": "string",
"maxLength": 128
},
"selectionComplete": {
"type": [
"boolean",
"null"
]
},
"cohortSize": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"successes": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"failures": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unresolved": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
}
},
"required": [
"scopeId",
"selectionComplete",
"cohortSize",
"successes",
"failures",
"unresolved"
],
"additionalProperties": false
}Output
{
"type": "object",
"properties": {
"status": {
"type": "string",
"maxLength": 128
},
"lowerSuccesses": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"upperSuccesses": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"lowerRate": {
"type": [
"string",
"null"
],
"maxLength": 256
},
"upperRate": {
"type": [
"string",
"null"
],
"maxLength": 256
}
},
"required": [
"status",
"lowerSuccesses",
"upperSuccesses",
"lowerRate",
"upperRate"
],
"additionalProperties": false
}Choose an output for this job
This business workflow also has 15 delivery formats. Compare their inputs, output examples and limits.
Example input and result
These examples use synthetic data.
Input
{
"scopeId": "client-A",
"selectionComplete": true,
"cohortSize": 10,
"successes": 4,
"failures": 3,
"unresolved": 3
}Expected result
{
"status": "bounded_within_supplied_cohort",
"lowerSuccesses": 4,
"upperSuccesses": 7,
"lowerRate": "2/5",
"upperRate": "7/10"
}Success means: Bound the final pass rate for a finite declared client pilot cohort while some acceptance outcomes are unresolved.
When something goes wrong
- Correct malformed facts and rerun. Incomplete or unknown facts remain uncertain; do not fabricate a resolution.
Limits and costs
- Counts of resolved success/failure and unresolved outcomes must exhaust the declared cohort. Bounds concern that finite supplied cohort only and cannot forecast future members. Empty cohort has undefined rate; incomplete selection keeps status bounded_incomplete_selection. Rational outputs are reduced numerator/positive denominator strings. Reporting only completed pilot cases can imply a final rate that pending outcomes do not support. The declared cohort must be exactly partitioned into successes, failures and unresolved cases. The lower bound treats unresolved cases as failures; the upper bound treats them as successes. These bounds concern that finite supplied cohort and do not forecast future users or verify test outcomes.
- No paid model calls or metered third-party operations are declared in this pure graph. Vora plan availability, compute and quotas still apply; pricing has not been verified by this batch.