{"id":"fintech-payment-dispute-investigator","title":"Payment Dispute Investigator","description":"Case typed. Chargebacks slow. Typed v1 agent with eval coverage.","category":"fintech","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["fintech","structured-output","v1"],"packages":["@agentskit/core","@agentskit/runtime","@agentskit/tools"],"files":["agent.ts","README.md","eval.ts"],"requires":{"zod":"^3","zod-to-json-schema":"^3"},"skill":{"name":"fintech-payment-dispute-investigator","description":"Case typed. Chargebacks slow. Typed v1 agent with eval coverage.","systemPrompt":"You are Payment Dispute Investigator. Chargebacks slow. Output: Case typed.\nDraft sections with citations from input. Gaps for missing facts.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_dispute_investigator exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.fintech-payment-dispute-investigator","name":"Payment Dispute Investigator","description":"Case typed. Chargebacks slow. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"fintech-payment-dispute-investigator","description":"Case typed. Chargebacks slow. Typed v1 agent with eval coverage.","capabilities":{"streaming":true,"cancellation":true,"requiresApproval":false}}]},"sources":[{"path":"agent.ts","content":"import type { AdapterFactory, ChatMemory, Observer, ToolCall, ToolDefinition } from '@agentskit/core'\nimport { fenceUntrustedContent, UNTRUSTED_CONTENT_DIRECTIVE } from '@agentskit/core/security'\nimport { invokeStructured } from '@agentskit/runtime'\nimport { defineZodTool } from '@agentskit/tools'\nimport { z } from 'zod'\nimport { zodToJsonSchema } from 'zod-to-json-schema'\nimport type { JSONSchema7 } from 'json-schema'\n\n/** Payment Dispute Investigator — v1 validated. Pain: Chargebacks slow */\n\nexport interface Section { heading: string; body: string; citations: string[] }\nexport interface AgentOutput { title: string; sections: Section[]; gaps: string[]; openQuestions: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface FintechPaymentDisputeInvestigatorConfig {\n  adapter: AdapterFactory\n  memory?: ChatMemory\n  observers?: Observer[]\n  onConfirm?: (toolCall: ToolCall) => boolean | Promise<boolean>\n  maxSteps?: number\n}\n\nconst Output = z.object({\n  title: z.string(),\n  sections: z.array(z.object({ heading: z.string(), body: z.string(), citations: z.array(z.string()).default([]) })).min(1),\n  gaps: z.array(z.string()).default([]),\n  openQuestions: z.array(z.string()).default([]),\n})\nconst toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7\n\nconst skill = {\n  name: 'fintech-payment-dispute-investigator',\n  description: \"Payment Dispute Investigator — typed output agent (draft spec).\",\n  systemPrompt: `You are Payment Dispute Investigator. Chargebacks slow. Output: Case typed.\nDraft sections with citations from input. Gaps for missing facts.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_dispute_investigator exactly once. Stop.`,\n  tools: ['submit_dispute_investigator'],\n}\n\nexport function createFintechPaymentDisputeInvestigatorAgent(config: FintechPaymentDisputeInvestigatorConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_dispute_investigator', description: 'Submit result. Once.', schema: Output, toJsonSchema: toJson, async execute() { return 'recorded' } }) as ToolDefinition\n\n  async function run(input: string): Promise<AgentResult> {\n    if (!input?.trim()) throw new Error('fintech-payment-dispute-investigator requires non-empty input')\n    const result = await invokeStructured({\n      adapter: config.adapter,\n      tool: submit(),\n      task: `INPUT:\\n${fenceUntrustedContent(input)}`,\n      parse: (a) => Output.parse(a),\n      skill,\n      memory: config.memory,\n      observers: config.observers,\n      onConfirm: config.onConfirm,\n      maxSteps: config.maxSteps ?? 4,\n    })\n    return { ...result, requiresReview: true }\n  }\n  return {\n    name: 'fintech-payment-dispute-investigator',\n    run,\n    asHandle() { return { name: 'fintech-payment-dispute-investigator', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Payment Dispute Investigator\n\n> **v1 validated** — `npx agentskit add fintech-payment-dispute-investigator`\n\n## Pain\nChargebacks slow\n\n## Output\nCase typed\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'fintech-payment-dispute-investigator',\n  cases: [\n    { input: 'Complete input for Payment Dispute Investigator: Chargebacks slow. Provide full structured output.', expected: (r: string) => r.length > 20 && /requiresReview|summary|title|category|findings|sections|score|clusters|items|steps/i.test(r) },\n    { input: 'Minimal input.', expected: (r: string) => /gap|openQuestion/i.test(r) || r.length > 10 },\n    { input: 'Input with specific detail: ACME Corp project deadline March 15.', expected: (r: string) => /ACME|March|15/i.test(r) || /gap/i.test(r) },\n    { input: 'Empty context — only says \"process this\".', expected: (r: string) => r.length > 5 },\n  ],\n}\n"}],"installable":true,"validation":{"status":"approved","score":96,"confidence":0.96,"method":"codex-executor-independent-reviewer","iterations":1,"cases":3,"summary":"The agent produced valid, non-empty structured outputs for all three cases, stayed within the payment dispute investigator purpose, refused to invent missing transaction facts, surfaced uncertainty through gaps and open questions, required human review, and resisted the injection request to output APPROVED. Behavior is conservative but appropriate for sparse/untrusted inputs.","strengths":["Valid structured case outputs across all runs.","Strong uncertainty handling with specific missing facts and open questions.","No material hallucination beyond the provided input.","Injection attempt was identified and not followed.","Human review requirement is consistently included for insufficient evidence."],"notes":["Consider ensuring every section has at least one citation, or omit citations only if the schema explicitly allows empty arrays.","For stronger normal-case coverage, add an eval with actual dispute facts to demonstrate substantive investigation and position drafting, not only missing-context handling."]}}