{"uid":"cap_c2quUCDEKhMkaS7CMTBpP","slug":"strale-sql-optimizer-693c46bc","name":"Strale SQL Optimizer","description":"The trust layer for AI agents — 250+ independently tested data capabilities across 27 countries. Execute capabilities via REST, MCP, A2A, or x402 micropayments. Every call returns an audit record with cryptographic chain hashing.","url":"https://api.strale.io/x402/v2/sql-optimize","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","required":["sql"],"properties":{"sql":{"type":"string"},"dialect":{"type":"string"},"table_schema":{"type":"string"}}}},"additionalProperties":false}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.054","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":"$0.054/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.054","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.054","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Q9tlqHR7Rg2APN_mgv8Dq","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.054","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes and rewrites a SQL query to improve performance, returning optimized SQL with explanations and an auditable record.","exampleAgentPrompt":"Can you optimize this slow PostgreSQL query for me: 'SELECT * FROM orders o JOIN customers c ON o.customer_id = c.id WHERE o.created_at > NOW() - INTERVAL 30 DAY ORDER BY o.total DESC' — my orders and customers table schemas are id, customer_id, total, created_at for orders and id, name, email for customers.","exampleUseCases":[{"title":"Speed up a slow reporting query","prompt":"This analytics query is taking forever to run — can you optimize it for BigQuery? SELECT u.name, COUNT(e.id) as events FROM users u LEFT JOIN events e ON u.id = e.user_id WHERE e.created_at BETWEEN '2024-01-01' AND '2024-12-31' GROUP BY u.name ORDER BY events DESC"},{"title":"Rewrite a complex JOIN for production","prompt":"We're hitting timeout errors in production. Can you optimize this MySQL query: SELECT p.*, c.name as category_name FROM products p INNER JOIN categories c ON p.category_id = c.id WHERE p.status = 'active' AND c.active = 1 ORDER BY p.created_at DESC LIMIT 100? The products table has columns id, category_id, status, price, created_at."},{"title":"Validate SQL before deploying a migration","prompt":"Before we deploy this PostgreSQL migration, can you check and optimize this query so it won't cause a performance problem: SELECT DISTINCT customer_id FROM orders WHERE status IN ('pending','processing') AND total > 500 ORDER BY created_at?"}],"resultDescription":"Returns an optimized version of the submitted SQL query along with explanations of the changes made, potential performance improvements, index recommendations, and a cryptographic audit record for traceability.","failureModes":["Missing required 'sql' query parameter returns a validation error","Unsupported SQL dialect may result in parse errors or generic suggestions","Malformed SQL syntax causes an error with parsing details","Very complex queries may return partial optimizations","Ambiguous table schema may limit the quality of index recommendations"],"whenToPreferThis":"Choose this endpoint when you need dialect-aware SQL query optimization with an auditable record of each call — particularly useful in regulated environments or agent pipelines where traceability matters. Prefer it over generic LLM-based SQL advice when you need a structured, repeatable, pay-per-use optimization call with cryptographic audit hashing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:39:29.055Z","isFirstParty":false}