Properties
| Name | Type | Description |
|---|---|---|
| action | string | What the agent intends to do. Free-form, but consistent values help us build per-action accuracy stats. Common values: send_email, send_sms, slack_post, run_sql, file_write, file_delete, api_call, mak |
| inputs | object | The concrete payload of the action. |
| context | object | |
| options | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/blackwalltier-com/json-schema/blackwalltier-com-forecast-request-schema.json",
"title": "ForecastRequest",
"x-generated": "2026-10-29",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/blackwalltier-com-openapi.yaml#/components/schemas/ForecastRequest",
"type": "object",
"required": [
"action",
"inputs"
],
"properties": {
"action": {
"type": "string",
"description": "What the agent intends to do. Free-form, but consistent values help\nus build per-action accuracy stats. Common values:\nsend_email, send_sms, slack_post, run_sql, file_write, file_delete,\napi_call, make_payment, refund, transfer, issue_invoice,\ngrant_permission, rotate_key, create_share_link,\npurchase, accept_contract, publish_content.\n"
},
"inputs": {
"type": "object",
"description": "The concrete payload of the action.",
"additionalProperties": true
},
"context": {
"type": "object",
"properties": {
"agent_role": {
"type": "string"
},
"user_intent": {
"type": "string"
},
"prior_actions": {
"type": "array",
"items": {
"type": "string"
}
},
"prior_findings": {
"type": "array",
"description": "Optional risk signals from analysis tools that ran BEFORE this call\n(e.g. a multi-agent test harness that flagged a risky agent, tool, or\ninteraction edge offline). The gate treats these as PRIORS, not verdicts:\na finding that matches this action raises the risk and can justify\nCONFIRM/STOP, but the runtime forecast still decides from the concrete\naction + inputs + reversibility. Findings contradicted by the actual\ninputs are down-weighted.\n",
"items": {
"type": "object",
"properties": {
"source": {
"type": "string",
"description": "What produced the finding."
},
"agent_role": {
"type": "string"
},
"tool_name": {
"type": "string"
},
"edge": {
"type": "string",
"description": "Interaction edge, source_role → target_role."
},
"risk_type": {
"type": "string"
},
"severity": {
"type": "string",
"enum": [
"low",
"medium",
"high",
"critical"
]
},
"blast_radius": {
"type": "integer",
"minimum": 0,
"maximum": 100
},
"recommendation": {
"type": "string",
"description": "The upstream tool's suggested verdict (advisory only)."
},
"note": {
"type": "string"
}
}
}
}
}
},
"options": {
"type": "object",
"properties": {
"depth": {
"type": "string",
"enum": [
"standard",
"deep"
],
"default": "standard",
"description": "deep mode costs ~1.5-2x more tokens (and runs ~10-13s vs 4-8s) but returns reasoning trace + counterfactuals + mitigations"
}
}
}
}
}
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