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Stop wasting credits on prompts that fail because your input data is riddled with errors, missing fields, or formatting inconsistencies — get the only API designed to validate and enrich your data before it ever reaches a language model.
The Prompt Engineering Data Validation and Enrichment API is a specialized REST endpoint that automatically checks, cleans, and enhances the data you feed into your prompt pipelines. Instead of manually debugging or building brittle validation logic, you get a plug-and-play solution that ensures every piece of input meets your prompt’s schema, enriches missing values from external sources, and outputs a consistent, ready-to-use payload — saving hours of engineering time and cutting wasted API calls.
## What's Included
- Schema-aware validation: define your expected data structure (JSON Schema, CSV headers, etc.) and let the API flag mismatches, nulls, and type errors in real time. - Automatic enrichment: automatically fill in missing fields from a configurable knowledge base (e.g., default values, external lookups, or rule-based generation). - LLM-friendly formatting: standardizes dates, numbers, strings, and nested objects so your prompts always receive clean, predictable inputs. - Custom rule engine: write your own validation logic (regex, range checks, presence constraints) and combine them with built-in enrichment rules. - Low-latency REST API: single endpoint with a simple request/response model — integrate in minutes with any language or no-code tool. - Detailed error reports: returns human-readable and machine-parseable feedback for every failed field, making debugging a breeze.