FormatLayer is a stateless API that transforms messy text, contracts, and log dumps into clean, structured JSON — in a single call.
{
"utility_mode": "COMPLIANCE_SCAN",
"raw_input": "This Agreement shall auto-renew\nunless cancelled 30 days prior...",
"target_parameters": ["auto_renewal", "liability_clauses"]
}{
"status": "success",
"risk_score_normalized": 72,
"critical_flags": [{
"item": "Auto-renewal clause",
"severity": "HIGH",
"mitigation": "Add cancellation window"
}]
}You write a beautiful async serverless function. A messy text payload comes in — a contract, a log dump, raw user data. Now you have three options: write a brittle regex parser, spin up a custom microservice, or send it to an LLM and hope for clean output. None of them are fast, cheap, or reliable.
FormatLayer solves this. Stateless. Sub-500ms. Pay per call. Built for the serverless stack you're already running.
POST to the FormatLayer endpoint with utility_mode, raw_input, and target_parameters. Authenticate with an API key.
Our stateless engine routes to the right mode. Parses, validates, flags risks, cleans data — all in a single pass.
Always returns valid JSON with the exact schema your pipeline expects. No more guessing.
Analyze contracts, terms, and legal text for hidden liabilities. Auto-renewals, IP leaks, unfavorable data-sharing clauses. Returns severity scores and one-sentence mitigations.
{ risk_score_normalized: 72, critical_flags: [{ severity: "HIGH", item: "...", mitigation: "..." }] }
Parse messy CSV strings, broken delimiters, escaped illegal characters — map them to your target schema. Fixed delimiters, clean key-value pairs, no more manual cleanup.
{ processed_output: { /* schema-matched clean data */ } }
Extract errors, timestamps, stack traces, and anomalous spikes from raw log dumps. Great for DevOps pipelines and observability stacks.
{ processed_output: { errors: [], timestamps: [], anomalies: [] } }
Optimized for serverless. Gemini 2.0 Flash with prompt caching for near-zero marginal cost on repeat calls.
Always returns valid JSON matching your target schema. Missing fields map to null, never invented data.
Every payload is transient. No data stored, no cross-request memory. Zero conversational fluff in output.
Async routes. No connection pooling. No cold starts from your side. Scale to zero between requests.
The parsing layer your serverless stack has been missing.