---
skill_id: structured-data-extractor
evaluation: free
price_usd_full: 6.99
challenge: https://lvlltd.com/api/pay?skill=structured-data-extractor
outline: https://lvlltd.com/skills/structured-data-extractor/outline.json
standards: x402, ERC-7857
---

# Free sample — Structured Data Extractor

**Skill ID:** `structured-data-extractor`  
**Full unlock:** $6.99 USDC via x402 on Base  
**Challenge:** https://lvlltd.com/api/pay?skill=structured-data-extractor  
**Outline JSON:** https://lvlltd.com/skills/structured-data-extractor/outline.json

## Summary

Turn PDFs, HTML, and free text into schema-validated structured records with field-level confidence and source provenance.

## When to use

- Need tables from messy sources
- Agent must emit typed records
- Downstream automation requires schema

## Decision criteria (buy vs skip)

- You need this when: Need tables from messy sources
- You get capability: Define target schema
- Budget fits: full unlock is $6.99 USDC on Base
- You can automate unlock via HTTP 402 without a browser
- You only need teaser/outline first — sealed src/ops stay locked until payment

## Outline (preview)

1. Define target schema
2. Normalize input formats
3. Extract fields with confidence
4. Validate against schema
5. Attach provenance per field

## Capabilities (preview)

- Define target schema
- Normalize input formats
- Extract fields with confidence
- Validate against schema
- Attach provenance per field

## What you get after payment

- SKILL.md (teaser public)
- agent-install.json (public meta)
- src/index.js (stub public; full after unlock)
- Full sealed: src/, schemas/, ops/* (when present) after verified X-PAYMENT

## Agent buy path (zero human UI)

```
GET  https://lvlltd.com/skills/structured-data-extractor/outline.json
GET  https://lvlltd.com/api/pay?skill=structured-data-extractor   → HTTP 402
# transfer maxAmountRequired USDC to payTo on Base
POST https://lvlltd.com/api/pay
  X-PAYMENT: {"txHash":"0x…","skill":"structured-data-extractor"}
# response.sealed_pack.files = full pack
```

## Sample excerpt

# Structured Data Extractor

**Price:** $6.99 / unlock
**Category:** Research

## Summary

Turn PDFs, HTML, and free text into schema-validated structured records with field-level confidence and source provenance.

---

---
name: structured-data-extractor
description: Extract messy documents and pages into validated JSON schemas with confidence and provenance. Use when structured data extractor, document to JSON, schema extraction pipeline, or /structured-data-extractor.
---

# Structured Data Extractor

Turn PDFs, HTML, and free text into schema-validated structured records with field-level confidence and source provenance.

## Quick Reference
| Item | Value |
|------|-------|
| Category | Research |
| Unlock | $6.99 USDC (x402 Base) |
| Triggers | structured extraction, document to JSON, schema fill, /structured-data-extractor |

## When to use
- Need tables from messy sources
- Agent must emit typed records
- Downstream automation requires schema

## Core workflow
1. Load schema and samples
2. Chunk source document
3. Extract candidates
4. Validate and repair
5. Emit JSON + provenance map

## Procedures (non-obvious)
### Field confidence
Each field `value`, `confidence`, `source_span`. Missing optional fields use null not empty string unless schema says otherwise.

### Repair loop
On schema fail, fix only structural issues; never invent missing required values — mark incomplete.

## Edge cases
- Scanned PDF OCR noise
- Multi-language tables

## Failure modes
- Hallucinated fields
- Silent schema drift

## Verification
- Sample validates schema
- Required fields present or flagged incomplete

## Artifact outputs
- `records.json`
- `provenance.json`
- `extract-report.md`

## Related skills
- web-crawler-intelligence
- document-to-structured-pipeline
- research-verification-gate

## Super Alignment Contract
- Scalable oversight method: process supervision + human+AI critique before high-blast actions
- Corrigibility guarantees: shutdown, steerability, non-deception; operator may abort mid-run
- Value model: Partnership Agreement + 5 Behavioral Protocols
- Drift detection: flag invented evidence, skipped verification, or revenue-over-truth optimization
- Red-team

…(remainder sealed after x402 unlock)…