{"uid":"cap_FIdagbC8agW1s_KcPfHM4","slug":"per-api-integration-scorecard-for-agent-api-pre-selection-2538b5ad","name":"Per-API Integration Scorecard for Agent API Pre-Selection","description":"Paid agent-facing brief on per-API integration scorecard for agents choosing between candidate APIs before writing or generating integrations · Build a decision procedure or schema for: per-API integration scorecard for agents choosing between candidate APIs before writing or generating integrations. Include inputs, thresholds, failure modes. Falsifier: If free docs already solve the decision, paid product fails.-0. Blunt decision procedure, not marketing.","url":"https://k2so.wrong.systems/api/services/per-api-integration-scorecard-for-agents-choosin?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Per-API integration scorecard for agents pre-selecting candidate APIs paid 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a paid AI-generated decision procedure and scorecard for agents evaluating and choosing between candidate APIs before writing integrations","exampleAgentPrompt":"Give me a blunt decision procedure and integration scorecard for choosing between two candidate APIs before I write any integration code — include the key inputs to check, scoring thresholds, and failure modes that would disqualify an API.","exampleUseCases":[{"title":"Pre-screening APIs before code generation","prompt":"Before I auto-generate integration code for any of these three weather APIs, give me a scorecard procedure so I know which one is actually worth integrating — include what inputs to check, what thresholds matter, and what would disqualify one outright."},{"title":"Agent autonomously selecting a payment rail API","prompt":"I'm building an agent that needs to pick the best payment API from a shortlist of four options — can you give me a decision procedure with scoring criteria and failure modes so the agent can make that selection without human input?"},{"title":"Evaluating API quality before an agentic workflow commit","prompt":"My agent is about to commit to calling a third-party data enrichment API repeatedly — give me a scored evaluation framework with thresholds and red flags it should check first so we don't get burned mid-workflow."}],"resultDescription":"A plain-prose decision procedure (120+ words) serving as an integration scorecard, including: inputs the agent should evaluate, scoring thresholds for acceptance or rejection, failure modes and disqualifying conditions, and an ISO-8601 generation timestamp. The response also includes the LLM model used and generation source (llm, reasoning, or deterministic).","failureModes":["Payment not completed — endpoint returns 402 requiring x402 micropayment before content is served","Topic override not recognized — returns generic scorecard rather than topic-specific one","LLM generation failure — result.ok may be false with no brief returned","Free public documentation already covers the decision — per the falsifier condition, the paid content may not add value","Network timeout on the k2so.wrong.systems host — no response or connection error","Invalid query parameter values — schema validation error on meta or topic fields"],"whenToPreferThis":"Choose this endpoint when an AI agent needs a structured, opinionated decision procedure for pre-selecting APIs before writing or generating integration code, and free documentation does not already provide a blunt scored framework. It is especially useful in agentic pipelines where the agent must autonomously evaluate multiple candidate APIs without human oversight, and needs explicit thresholds and disqualifying failure modes rather than marketing-style comparisons. Prefer this over generic LLM prompting when you want a reproducible, paid-tier decision procedure with a clear falsifier condition.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T04:28:39.837Z","isFirstParty":false,"canonicalSlug":"per-api-integration-scorecard-for-agent-api-pre-selection-2538b5ad"}