{"uid":"cap_wExnm81ZVZM5P8oOFQsiV","slug":"strale-sql-generator-33775599","name":"Strale SQL Generator","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-generate","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":["natural_language_query"],"properties":{"dialect":{"type":"string","description":"postgres/mysql/sqlite/mssql"},"table_schema":{"type":"string"},"natural_language_query":{"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_WE-cudQO8WIjg23AN7K39","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":"Converts a natural language query into a SQL statement for a specified database dialect and optional table schema","exampleAgentPrompt":"Generate a SQL query in PostgreSQL dialect for this schema — users(id, name, email, created_at), orders(id, user_id, total, status) — that answers: 'show me all users who placed more than 3 orders in the last 30 days with a total spend above $500'","exampleUseCases":[{"title":"Non-technical analyst querying a database","prompt":"I need a MySQL query to find our top 10 customers by total revenue this year from a table called sales with columns customer_id, amount, and sale_date — can you write that SQL for me?"},{"title":"Developer scaffolding queries for a new schema","prompt":"Generate a SQLite SQL query for a table schema with columns product_id, product_name, category, price, stock_quantity that answers: 'list all products in the electronics category that are out of stock, sorted by price descending'"},{"title":"Data team automating report generation","prompt":"Write a SQL Server (mssql) query for these tables — employees(id, name, department_id, hire_date, salary) and departments(id, name) — that answers: 'what is the average salary per department for employees hired in the last 2 years?'"}],"resultDescription":"A generated SQL query string matching the natural language question, targeting the specified database dialect (postgres, mysql, sqlite, or mssql) and optionally respecting the provided table schema. The response comes with a cryptographic audit record for traceability.","failureModes":["Missing natural_language_query parameter returns a 400 validation error","Ambiguous or vague natural language input may produce an incorrect or overly generic SQL statement","Unsupported dialect value may cause an error or fall back to generic SQL","Complex multi-step queries or recursive CTEs may be incomplete or incorrect","Table schema mismatch between the description provided and the actual schema can lead to invalid column/table references"],"whenToPreferThis":"Choose this endpoint when you need to programmatically convert plain-English questions into executable SQL for a known database dialect, especially when the target schema is known and can be provided. It is ideal for building no-code data tools, report generators, or agent workflows where non-technical users need to query databases. Prefer it over generic LLM SQL generation when you need an auditable, per-call-priced, production-grade REST or x402-compatible capability.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T01:19:30.883Z","isFirstParty":false}