{"uid":"cap_blWLXqeWxBUx1YHGE-D8Y","slug":"agentdiet-10-k-analyzer-5c733ad6","name":"AgentDiet 10-K Analyzer","description":"Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.","url":"https://rag-diet.agentdiet.dev/v1/10k-analyzer?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","POST"],"type":"string"},"queryParams":{"type":"object","properties":{"ticker":{"type":"string"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{},"status":"ok","roi_proof":{"compression_ratio_pct":91.4}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_oPAovlcz9MD0arRnZ1T0d","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches and distills a compressed, token-efficient analysis of a public company's 10-K filing by stock ticker","exampleAgentPrompt":"Pull a compressed 10-K analysis for AAPL — I want the key financials and risk factors without burning through my context window.","exampleUseCases":[{"title":"Equity research context compression","prompt":"Get me a token-efficient 10-K breakdown for TSLA so I can fit it into my research pipeline without hitting context limits."},{"title":"AI agent financial due diligence","prompt":"Run the 10-K analyzer on MSFT and give me the distilled output — I need the compressed annual report data for my due diligence agent."},{"title":"Multi-ticker comparison workflow","prompt":"Fetch the condensed 10-K analysis for NVDA so I can compare it against AMD's filing without the full documents eating up my context window."}],"resultDescription":"Returns a JSON object with a 'data' field containing compressed 10-K filing insights for the requested ticker, a status field, and an roi_proof object showing the compression_ratio_pct (e.g. 91.4%), confirming how much token reduction was achieved versus the raw filing.","failureModes":["Invalid or unrecognized ticker symbol returns empty or error data","Ticker with no available 10-K filing returns no data","Missing required 'input' object in request body causes validation error","Payment failure (x402) prevents execution if USDC payment on Base is not completed","Rate limiting or service unavailability returns non-200 status"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to analyze or extract insights from SEC 10-K annual filings but context window size or token cost is a constraint. It is especially valuable in multi-step financial research pipelines where raw filing text would be prohibitively large. Prefer this over raw SEC EDGAR scraping or generic summarization endpoints when you need a deterministic, quantified compression ratio and structured output optimized for downstream agent consumption.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:40:37.908Z","isFirstParty":false,"canonicalSlug":"agentdiet-10-k-analyzer-5c733ad6"}