{"uid":"cap_B1qt1MEKJ9ZcUrRYHLywG","slug":"signalharness-ai-search-pipeline-regression-report-49809165","name":"SignalHarness AI Search Pipeline Regression Report","description":"Explore 330 pay-per-call x402 API services and 27 agent-native digital products, with Base USDC pricing, secure Polar checkout, and free discovery.","url":"https://signalharness.ai/api/agent/services/ai_search_pipeline_regression_report/invoke","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"request_json":{"type":"string","maxLength":65536,"minLength":2}}},"responseSchema":{"type":"json","example":{"replay":false,"result":{"warnings":["Verify the caller-supplied data before relying on this result."],"service_id":"ai_search_pipeline_regression_report","analysis_json":"{\"example\":\"schema-valid caller-supplied data\"}","evidence_scope":"caller_supplied_data"},"status":"succeeded","receipt":{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","usage":[],"status":"succeeded","network":"eip155:8453","artifacts":[],"endedAtMs":0,"latencyMs":0,"paymentId":"example-payment","receiptId":"example-receipt","requestId":"example-request","serviceId":"ai_search_pipeline_regression_report","executionId":"example-execution","startedAtMs":0,"amountAtomic":"50000","resultSha256":"7747538e3e202e7ddccde7e5f678bf09f59162f013fb9ac54e30d918be091634","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_JasK4nn6oHRyK0fik1rR2","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes a caller-supplied AI search pipeline configuration or result set and returns a regression report identifying issues or anomalies.","exampleAgentPrompt":"Run a regression report on my AI search pipeline — here's the pipeline run data as JSON: {\"pipeline\":\"semantic-search-v2\",\"run_id\":\"abc123\",\"results\":[{\"query\":\"blue shoes\",\"hits\":12}]}. Flag any quality degradations or anomalies.","exampleUseCases":[{"title":"Search quality regression detection","prompt":"Here's the output from my AI search pipeline for the last run — can you analyze it for regressions and tell me if anything has degraded compared to what's expected? The data is: {\"pipeline\":\"product-search\",\"run_id\":\"run_2024_05\",\"queries_evaluated\":500,\"avg_precision\":0.71}"},{"title":"Pre-release search pipeline audit","prompt":"Before we ship our new search ranking model, run a regression report on this pipeline evaluation JSON and highlight any anomalies or warnings I should address: {\"pipeline\":\"ranking-v3\",\"baseline_precision\":0.85,\"current_precision\":0.78,\"num_queries\":200}"},{"title":"Scheduled search pipeline health check","prompt":"I've got my weekly AI search pipeline metrics here — run them through the regression report tool and tell me if anything looks off: {\"pipeline\":\"enterprise-search\",\"week\":\"2024-W20\",\"recall\":0.88,\"precision\":0.82,\"latency_p99_ms\":340}"}],"resultDescription":"Returns a JSON object containing a regression analysis report (analysis_json), any warnings about the data quality or reliability, the evidence scope indicating data provenance, and a signed receipt with execution metadata including payment ID, latency, and a SHA-256 result hash for auditability.","failureModes":["Malformed or invalid request_json input returns an error or empty analysis","Caller-supplied data that does not conform to expected pipeline schema may produce unreliable results with warnings","Network or payment authorization failure results in a non-200 response with no analysis","Very large JSON payloads near the 65536-character limit may be rejected or time out","Ambiguous pipeline data may result in low-confidence analysis with prominent warnings"],"whenToPreferThis":"Choose this endpoint when you need a fast, pay-per-call regression analysis of an AI search pipeline without managing your own evaluation infrastructure. It is best suited for agents that need a portable, auditable report on search quality degradation, especially when operating within a USDC micropayment workflow on Base. Prefer alternatives if you need real-time streaming analysis, integration with a specific MLOps platform, or deeply customized regression metrics beyond what a JSON payload can describe.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T19:01:16.107Z","isFirstParty":false}