peira.netlify.app
Peira — see what a raise really does. A shared lab bench where you and an AI agent probe the benefits system together.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 3 · Act 8 · Transact 0 · Score: Not yet scored
Tool inspector
set_household
Define the household under study — the specimen every probe runs against. Fill it from what the human tells you about their family; the human can correct it directly on the household card, so treat the returned state as ground truth. Set receiving_childcare_subsidy=true for a family already enrolled in childcare assistance (their subsidy exit rules differ from a new applicant's entry rules — this moves cliffs).
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
state |
string | no | US state (Colorado only for now) |
adults |
array | yes | — |
children |
array | no | — |
receiving_childcare_subsidy |
boolean | no | — |
Raw JSON schema
{
"type": "object",
"properties": {
"state": {
"type": "string",
"enum": [
"CO"
],
"description": "US state (Colorado only for now)"
},
"adults": {
"type": "array",
"minItems": 1,
"maxItems": 2,
"items": {
"type": "object",
"properties": {
"age": {
"type": "integer",
"minimum": 18,
"maximum": 100
},
"employment_income": {
"type": "number",
"description": "yearly earnings in $"
},
"weekly_work_hours": {
"type": "number",
"description": "default 40"
}
},
"required": [
"age"
]
}
},
"children": {
"type": "array",
"maxItems": 6,
"items": {
"type": "object",
"properties": {
"age": {
"type": "integer",
"minimum": 0,
"maximum": 17
},
"yearly_childcare_expenses": {
"type": "number",
"description": "yearly paid childcare in $"
}
},
"required": [
"age"
]
}
},
"receiving_childcare_subsidy": {
"type": "boolean"
}
},
"required": [
"adults"
],
"additionalProperties": false
}
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