{"uid":"cap_kGMkK-w0-cHsOLrBMGwf9","slug":"bounty-engineer-mission-digital-twin-planner-b537a83a","name":"Bounty Engineer Mission Digital Twin Planner","description":"Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.","url":"https://bounty-engineer-x402-prod.onrender.com/v1/mission-digital-twin?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"nodes":{"type":"array","maxItems":60,"minItems":1},"budget_usd":{"type":"number"},"min_success_probability":{"type":"number","maximum":1,"minimum":0},"max_expected_failure_cost_usd":{"type":"number"}}},"responseSchema":{"type":"json","example":{"ok":true,"mode":"mission_digital_twin","order":["collect","verify"],"details":[{"id":"collect","required":true,"latency_ms":1000,"dependencies":[],"success_rate":0.98,"declared_cost_usd":4,"reach_probability":1,"expected_spend_usd":4,"failure_probability":0.02,"declared_failure_cost_usd":2,"expected_failure_cost_usd":0.04},{"id":"verify","required":true,"latency_ms":1800,"dependencies":["collect"],"success_rate":0.96,"declared_cost_usd":8,"reach_probability":0.98,"expected_spend_usd":7.84,"failure_probability":0.0392,"declared_failure_cost_usd":20,"expected_failure_cost_usd":0.784}],"blockers":[],"decision":"ready","assumptions":["Declared node success rates are treated as independent for mission-level probability.","Costs, failure costs and latencies are caller supplied.","This is a deterministic planning model, not a guarantee of real-world execution."],"model_sha256":"9ef1bcb97d905fd56657e11bc9057034027150dbea5abdc48a2bc7e3c7ae9abb","expected_spend_usd":11.84,"fragility_hotspots":[{"id":"verify","required":true,"latency_ms":1800,"dependencies":["collect"],"success_rate":0.96,"declared_cost_usd":8,"reach_probability":0.98,"expected_spend_usd":7.84,"failure_probability":0.0392,"declared_failure_cost_usd":20,"expected_failure_cost_usd":0.784},{"id":"collect","required":true,"latency_ms":1000,"dependencies":[],"success_rate":0.98,"declared_cost_usd":4,"reach_probability":1,"expected_spend_usd":4,"failure_probability":0.02,"declared_failure_cost_usd":2,"expected_failure_cost_usd":0.04}],"worst_case_exposure_usd":34,"expected_failure_cost_usd":0.824,"declared_serial_latency_ms":2800,"mission_success_probability":0.9408}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"39.9","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$39.9/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"39.9","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"39.9","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_CE2qLEDkYkEK8C3WM1RQz","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"39.9","costPer":"request","priority":0,"asset":"EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Simulates an agentic mission DAG to compute execution order, expected spend, failure costs, fragility hotspots, and success probability before committing real budget.","exampleAgentPrompt":"Before I actually run my 3-step data-collection and verification pipeline, simulate it for me — the nodes are 'collect' (98% success, $4 cost, $2 failure cost, 1000ms) and 'verify' (96% success, $8 cost, $20 failure cost, 1800ms, depends on collect) — I want to stay under a $50 budget, at least 90% mission success probability, and no more than $5 expected failure cost.","exampleUseCases":[{"title":"Pre-flight check for a bounty-hunting pipeline","prompt":"I'm about to run a 5-step GitHub bounty research pipeline with nodes for search, fetch, extract, score, and submit. Can you simulate the whole thing for me first? I want to know the execution order, expected total spend, and mission success probability before committing any real funds — keep it under a $30 budget and above 85% success probability."},{"title":"Identifying fragility hotspots in a verification chain","prompt":"My agent workflow has a webpage extraction step costing $4 (97% success) and a result verification step costing $8 (94% success, depends on extraction). Can you run a digital twin simulation on those two nodes and tell me which one is the biggest fragility risk and what my worst-case financial exposure is?"},{"title":"Budget-constrained mission feasibility check","prompt":"I've planned a 4-node agent mission with a max budget of $20 and I need at least 92% chance of full success with no more than $2 expected failure cost. Here are my nodes with their costs and success rates — simulate it and tell me if it's ready to execute or if something is blocking it."}],"resultDescription":"Returns a JSON object with the computed execution order (topological sort of the DAG), per-node details (reach probability, expected spend, failure probability, expected failure cost), mission-level aggregates (total expected spend, worst-case exposure, serial latency, overall success probability), a list of fragility hotspots ranked by risk, any blockers preventing execution, a decision field ('ready' or 'blocked'), and a model SHA256 for reproducibility.","failureModes":["Invalid node DAG (cycles or missing dependencies) returns a 4xx error","Budget or probability thresholds not satisfiable — decision field returns 'blocked' with blocker list","Fewer than 1 or more than 60 nodes causes schema validation failure","Malformed success_rate or cost values outside valid ranges rejected","Service unavailable on Render.com cold-start returning 502/503"],"whenToPreferThis":"Use this endpoint when you need a deterministic, pre-execution simulation of a multi-step agentic pipeline to avoid unexpected overspend or mission failure. It is specifically designed for agent-to-agent infrastructure planning with cost routing and failure-cost awareness, making it ideal before committing to expensive or irreversible API call chains. Prefer it over generic DAG schedulers when you need financial exposure analysis (expected failure cost, worst-case spend) and fragility hotspot ranking alongside execution ordering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T18:47:25.935Z","isFirstParty":false,"canonicalSlug":"bounty-engineer-mission-digital-twin-planner-b537a83a"}