Early access — join the waitlist

Your AI pipeline breaks at 3am. SafeParse keeps it reliable.

Send unstructured text → get validated JSON.

Schema enforcement, auto-retry, and full observability for production AI pipelines.

app.safeparse.com/builder

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Where SafeParse fits in your stack

Your app

sends raw text

SafeParse

validates · retries · logs

Validated JSON

delivered via callback

Pipeline continues

CRM · DB · automation

Schema-enforced

Every response validated before delivery

Smart retries

Context-aware, not blind repetition

Multi-model

OpenAI · Anthropic · Google, with fallback

Full traces

Every request logged, replayable

Zero config

POST text, get JSON. Ship in minutes.

AI models
OpenAI · Anthropic · Google
Automation
Zapier · Make · n8n · Any HTTP client

The failure you've already seen

Your LLM returned valid-looking JSON.Your pipeline broke anyway.

Without SafeParse

Input: invoice email from Acme Corp

// LLM output
{
  "vendor": "Acme Corp",
  "total":  ""
}

Automation continues running

Accounting system receives total = ""

Data silently corrupted — no alert fired

With SafeParse

Same input — schema enforced

// Validated output
{
  "vendor": "Acme Corp",
  "total":  450.00
}

Validation failed — retry triggered automatically

Correct result delivered to your pipeline

Full trace logged — every step visible

AI breaks differently in production

Testing works. Users are happy. Then you ship — and none of the safeguards you assumed existed actually do.

😤  "It worked in testing…"

The model returns a slightly different shape in production. A required field is missing. Your downstream system crashes silently. You find out from a user complaint three hours later.

😴  "Pipeline down all night"

OpenAI rate-limits at 2am. There's no retry logic, no alerts, no queue. You wake up to 400 failed records and no way to tell which ones need reprocessing.

🔍  "Where did it fail?"

A field comes back empty. Was it missing from the source? A model hallucination? A schema mismatch? No trace, no classification, no way to know without rebuilding the request from scratch.

📋  "I'm locked into one model"

OpenAI has an outage. Your entire pipeline is down. You have no fallback, no way to reroute, and nothing to tell your users except "we're looking into it."

Schema enforcement

Define once. Enforce on every request.

Every model response is validated against your schema before it leaves SafeParse. Invalid output is caught, retried, or blocked — never silently passed to your system.

  • Required and optional field enforcement
  • Type checking — string, number, boolean, array, nested object
  • Schema versioning — pin production to a specific snapshot
  • Visual builder — no JSON Schema knowledge required
Schema validation Enforced
invoice_id string required
vendor string required
total_amount number required
is_overdue boolean optional
line_items array optional
Response validated · all required fields present · types match
Live trace · req_7a3f2d recovered

PAYLOAD RECEIVED

POST accepted · processing via Invoice Parser

VALIDATION FAILED

Missing required fields: total_amount, invoice_id

AUTO_RETRY_TRIGGERED

Injecting failure context · re-prompting with corrections

CONTRACT ENFORCED

Valid JSON recovered · delivered · 1,840ms total

1 retry consumed · schema_violation → resolved · model: gpt-4o
Smart recovery

When models fail, SafeParse doesn't give up.

SafeParse retries intelligently — injecting failure context into the prompt so the model understands exactly what went wrong. Not a blind repeat. A corrected attempt.

  • Schema-aware retries with targeted corrections
  • Multi-model fallback — if the primary model fails, route to another
  • Every retry classified by failure reason
  • Your pipeline keeps moving without custom retry logic
Full observability

See everything.
Debug anything.

Every extraction is logged, traced, and classified. Not just success or failure — the exact failure reason, the input, the output, and the full retry timeline.

  • Per-request live trace — see every step as it happens
  • Failure taxonomy — schema_violation, timeout, model_error
  • Replay any request — run it again through a newer schema
  • Platform health dashboard — success rate, latency, volume
  • Pipeline alerts — get notified before users notice degradation
Platform health View monitoring →

99.2%

Success rate

1,240ms

Avg latency

8,341

Total requests

req_8f3a1c · Invoice Parser 1,240ms 200
req_2d9b4e · Lead Extraction 892ms 200
req_5a7f0d · Invoice Parser 2,105ms 200↺1
req_c1e8b2 · Contract Review 1,090ms 200
↺ = auto-retried and recovered Click any row to inspect trace →

Async processing

POST /parse 202 Accepted processing callback delivered

Your pipeline doesn't block waiting for the model. SafeParse processes asynchronously and delivers results to your callback URL.

Pipeline alert triggered

Invoice Parser · failure rate exceeded 15% threshold over last 30 minutes

Alert fired via webhook before any user noticed degradation.

Drop-in for any workflow

Zapier
Make
n8n
REST API
Webhooks
Any HTTP
Production infrastructure

Built for real pipelines.Not playground demos.

SafeParse is infrastructure, not a utility. Async processing, guaranteed delivery, proactive alerting, and model independence — the things you'd eventually build yourself, already done.

  • Async 202 — pipeline returns instantly, result delivered via callback
  • Pipeline alerts — threshold-based notifications before users notice
  • Model independence — OpenAI, Anthropic, Google, per extractor
  • Schema versioning — deploy schema changes without breaking production

Used for

🧾

Invoice processing

📧

Email parsing

📋

Contract review

🎯

Lead enrichment

🎙️

Transcript analysis

📄

Document extraction

Up and running in minutes

No AI expertise required. Define what you need. SafeParse handles the rest.

1

Define your schema in the visual builder

Add fields like invoice_id, vendor, total. Set types, mark required fields, choose your model. No JSON knowledge needed.

string
invoice_id
Required
string
vendor
Required
number
total
Required
+ Add Field
2

Send your raw text — in any format

Invoices, emails, transcripts, contracts, chat logs — anything goes. Send it as plain text or JSON. SafeParse handles the messy input so you don't have to.

curl -X POST \
  https://api.safeparse.com/v1/parse/ext_a3f9bc12 \
  -H "x-api-key: sp_live_..." \
  -H "Content-Type: text/plain" \
  --data-binary "Invoice from Acme Corp dated Jan 31..."
3

Get validated JSON — every time

SafeParse validates, retries if needed, and delivers clean structured data. Your downstream system never sees invalid output.

{
  "invoice_id": "INV-2024-0847",
  "vendor": "ACME Supplies Co.",
  "total": 186.06,
  "due_date": "2026-03-02",
  "is_overdue": true,
  "line_items": [
    { "description": "Ballpoint Pens x50", "amount": 60.00 },
    { "description": "Legal Pads x10", "amount": 45.00 },
    { "description": "Stapler HD x2", "amount": 45.98 }
  ]
}

Simple, transparent pricing

Start free. Scale as your pipelines grow. No surprise bills.

Hobby

Free

Forever

Includes

  • 100 credits / month
  • 3 extractors
  • Schema enforcement & auto-retry
  • Full request logs & live traces
  • Circuit breaker protection
  • JSON export

Pro

$29/mo

or $23/mo billed annually

Everything in Hobby, plus

  • 5,000 credits / month
  • 20 extractors
  • Multi-model routing & fallback
  • Pipeline alerts & notifications
  • Reliable callback delivery
  • Schema versioning & pinning
  • One-click request replay
  • CSV & JSON log export
  • Metadata filtering in logs

Agency

$99/mo

or $81/mo billed annually

Everything in Pro, plus

  • 25,000 credits / month
  • Unlimited extractors
  • 1,000 req/min rate limit
  • Per-extractor accuracy scores
  • Failure taxonomy dashboard
  • Auto-protection on degraded extractors

1 credit = 1 extraction request

Need more? Top-up packs available: 1,000 · 5,000 · 25,000 credits (never expire for 12 months)

Limited early access

Stop babysitting your AI pipeline.

Get early access to the reliability layer for AI pipelines. We're opening in small batches and will reach out personally when your spot is ready.