Vol. 01 — Issue No. 1 Live · 14,287 validations today Tuesday, May 05, 2026
What is
Clear Data?

Clear Data is a suite of three browser-based data validation tools: a SAP DRC e-invoicing preflight for invoice CSV data, an EDI/X12 validator for trading-partner transactions, and a Generative Engine Optimization analytics tool for AI-engine brand visibility. No database. No stored files. Bring your own OpenAI or Anthropic API key. Validate your first file in under 60 seconds without a signup.

Clean
data, clear
decisions.

Live
VAT format invalid · IT04567890123 · row 0142 CSV cleaned · 1,824 rows · scored 92/100 EDI 850 · ST/SE control mismatch · re-validated GEO scan · "best customs broker" · 12 engines · Acme cited 4x Missing PEPPOL ID · row 0188 · severity high EDI 856 · all envelopes valid · partner ready Currency mismatch line/header · row 0203 GEO scan · Perplexity citation gap · P0 flagged SAP DRC export ready · Mexico CFDI · 412 invoices N1 segment empty · required field · partner Walmart VAT format invalid · IT04567890123 · row 0142 CSV cleaned · 1,824 rows · scored 92/100 EDI 850 · ST/SE control mismatch · re-validated GEO scan · "best customs broker" · 12 engines · Acme cited 4x Missing PEPPOL ID · row 0188 · severity high EDI 856 · all envelopes valid · partner ready Currency mismatch line/header · row 0203 GEO scan · Perplexity citation gap · P0 flagged SAP DRC export ready · Mexico CFDI · 412 invoices N1 segment empty · required field · partner Walmart
By the numbers
last 30 days
— Clear Data internal data, May 2026
0
Invoices preflighted
0
EDI errors caught
0%
Rejection rate reduction
0
Files stored on our servers

With AI, you do not need a $20,000 enterprise license or a $200/hr consultant.

Compared to the alternatives most teams default to: a manual review pass that scales linearly with headcount, or a Big 4 engagement that doesn't.
Capability
Clear Data
Manual review
Big 4 consultant
Time to first validated file
Under 60 seconds
2–3 hours / file
2–6 weeks (SOW)
Per-file cost at scale
$0.04
$45+ analyst time
$300–800
Plain-English error explanations
✓
Depends on reviewer
✓
Data leaves your environment
No (BYO key, browser-side)
Spreadsheets emailed around
Yes, sent to vendor
Country-specific e-invoicing rules
✓ 40+ countries
✗
Custom build
AI engine citation tracking
✓ 5 engines, daily
✗
✗
No signup to start
✓
N/A
✗
Privacy by design
No database. No stored files.
BYO API key (OpenAI / Anthropic)
SOC 2 Type II in progress
No signup to start
From the
masthead
We build narrow tools that scrub the noise from operational data, so your filings, your transactions, and your brand land the way you intended.
Cleaner inputs produce sharper outputs. Fewer rejections from tax authorities. Fewer EDI bouncebacks from trading partners. Fewer missed citations from the AI engines now driving discovery. Each product below solves one of those problems end-to-end, with no database, no stored files, and no workflow you have to rebuild around us.
01 Tax & Compliance

SAP DRC + e-Invoicing Data Preflight

Find invoice data errors before the rejection arrives.

Upload a CSV. Get back a risk score, an issue table you can actually act on, and a cleaned export ready for SAP Document and Reporting Compliance. No database. No stored files. The data leaves nothing behind.

  • What it does
    Validates invoice payloads against country-specific e-invoicing rules before they reach DRC.
  • How it helps
    Catches the field-level errors that cause peppol, SDI, and tax-authority rejections.
  • What to do
    Drop a CSV, review the issue table, download the cleaned export.
Open Preflight → View sample report
preflight.cleardata.app/scan scanning
64

Risk score: needs attention

3 high · 2 medium · 245 clean

RowIssueSeverityAction
0142 VAT format invalid (Italy) High Fix  →
0188 Missing PEPPOL ID High Fix  →
0203 Currency mismatch line/header Med Review
0211 Tax code mapped (US-CA) OK —
Fig. 01 Live preview · risk score, issue table, cleaned export. preflight
02 Trading Partner EDI

EDI/X12 Validator

Catch the structural mistakes that cause partner rejections, in plain English.

EDI/X12 uses AI to check your X12 envelope, control numbers, and required segments, then explains errors in language a human can act on. No signup to start. Paste your EDI and see what is wrong in seconds.

Bring your own API key (OpenAI or Anthropic) to skip rate limits and keep your data private. The key never touches our server, the AI calls go directly from your browser.

  • What it does
    Catches the structural mistakes that cause partner rejections.
  • How it helps
    Saves the back-and-forth of "rejected, try again" with retailers, shippers, and OEMs.
  • What to do
    Paste an X12 file or click "Load sample 850" and press Validate.
Open Validator → Load sample 850
edi-x12.cleardata.app · step 1 of 5 parsing
3 segment errors 1 control mismatch 42 segments valid
ISA*00* *00* *ZZ*SENDER01 GS*PO*SENDERCODE*RECEIVERCODE*20260505 ST*850*0001← control # mismatch with SE BEG*00*SA*4F-1923**20260505 N1*ST* ← required name field empty PO1*1*100*EA*9.99 CTT*1 SE*7*0002← does not match ST control 0001
AI explainer: Your ST opens transaction control number 0001, but SE closes it as 0002. Trading partners will reject this envelope. Update SE*7*0001 to match.
Fig. 02 Plain-English explanations, segment by segment. edi-x12
03 Generative Engine Optimization

GEO Analytics

Track how your brand appears across the AI engines that now drive discovery.

GEO measures your brand's footprint inside Perplexity, SearchGPT, Google AIO, Claude, and Gemini. Five views, one objective: see where the AI knows you, where it cites you, where it ignores you, and what to do about each gap.

  • Mention × Citation
    Scatter plot mapping brands by mention rate vs. citation rate. Reveals the "citation gap" across four quadrants, each with its own playbook.
  • Share of Answer
    Horizontal bars and pie chart showing which brands dominate AI responses, filterable by prompt, with full leaderboard.
  • Recommendations
    P0/P1/P2 action items with issue, evidence, suggested page, expected impact, and implementation notes.
Open GEO → View demo dashboard
geo.cleardata.app · Mention × Citation analyzing
Mention × Citation Share of Answer Recommendations
Acme Analytics Competitors
Awareness gap Strong authority Invisible Niche authority Mentions →
P0: Close 16-point citation gap on Perplexity · expected lift +28%
Fig. 03 Hover the dots — the citation gap, mapped. geo

Why Clear Data

Compared to the alternatives most teams default to: a manual review pass that scales linearly with headcount, or a Big 4 engagement that doesn't.
Capability
Clear Data
Manual review
Big 4 consultant
Time to first validated file
Under 60 seconds
2–3 hours / file
2–6 weeks (SOW)
Per-file cost at scale
$0.04
$45+ analyst time
$300–800
Plain-English error explanations
✓
Depends on reviewer
✓
Data leaves your environment
No (BYO key, browser-side)
Spreadsheets emailed around
Yes, sent to vendor
Country-specific e-invoicing rules
✓ 40+ countries
✗
Custom build
AI engine citation tracking
✓ 5 engines, daily
✗
✗
No signup to start
✓
N/A
✗

How it works

Every Clear Data tool follows the same three-step pattern. No accounts to create. No data leaving your browser when you bring your own API key.
01

Paste or upload your file

Drop a CSV into Preflight, paste an X12 file into the Validator, or enter your brand name and competitor list into GEO. No signup required to run your first validation.

~5 seconds
02

See errors in plain English

Each tool returns a structured result: a risk score for invoice data, segment-level annotations for EDI, or a citation-gap scatter plot for AI visibility. The AI layer translates technical findings into language a human can act on.

~30 seconds
03

Export, fix, or act

Download the cleaned CSV, copy the corrected EDI segments, or implement a P0 GEO recommendation. Your data is processed in memory and discarded when the session ends.

~2 minutes
— Common questions

The fine print.

The questions buyers ask before pasting their first file. Direct answers, no marketing.

No. Files are processed in memory and discarded when the session ends. We have no database for customer payloads. When you bring your own API key, the AI calls go directly from your browser to OpenAI or Anthropic, our servers never see them.
You paste your OpenAI or Anthropic API key into the in-browser settings. EDI/X12 and Preflight then call the model directly from your browser. The key is stored in your browser's local storage, never transmitted to our servers. You bypass our rate limits and your data never leaves your client.
Each problem has different buyers, different acceptance criteria, and different rate of change. Bundling them produces a worse product for each. The three share the same engineering principles (no storage, BYO key, plain-English errors) but ship and price independently.
Country rule sets ship for the high-volume e-invoicing jurisdictions first: Italy (SDI), Mexico (CFDI), Brazil (NF-e), India (IRN), Spain, France, Germany, Poland, Saudi Arabia (ZATCA), and PEPPOL countries. New jurisdictions land monthly. If you need one we don't have, email and we will scope it.
Structural validation (envelope, control numbers, required segments) is rule-based and deterministic. The AI layer translates the structural finding into plain English and suggests a fix. The deterministic layer is what tells you whether your file will be rejected, the AI just makes the finding readable.
Daily for monitored prompts on Pro, hourly on Team. AI engine answers are non-deterministic, so we run each prompt multiple times per cycle and report aggregates with confidence intervals. You see distribution, not a single sample.
Yes for the first two. SOC 2 Type II audit is in progress, target end of Q3. VPC and on-prem deployment available on annual Team contracts and above. Email hello@cleardata.app with your security questionnaire and we will respond within one business day.
— Glossary

The terms, defined.

Crisp definitions for the categories Clear Data operates in. Useful as a primer if you are new to e-invoicing, EDI, or AI search analytics.

SAP DRCSAP Document and Reporting Compliance
SAP DRC is SAP's centralized platform for electronic document and statutory reporting compliance, covering country-specific e-invoicing, e-reporting, and tax filings. It replaces older SAP solutions like eDocument Framework (eDoc) and is the system most large SAP customers route invoice data through to meet jurisdictional mandates such as Italy's SDI, Mexico's CFDI, and PEPPOL.
e-InvoicingElectronic Invoicing
e-Invoicing is the structured electronic exchange of invoice data between buyer, seller, and tax authority in a machine-readable format such as XML or UBL. Many countries now mandate it (Italy, Mexico, Brazil, India, Saudi Arabia, Poland, France, and others). Each jurisdiction defines its own format, transmission protocol, and validation rules.
PEPPOLPan-European Public Procurement Online
PEPPOL is a European-led international network for exchanging structured electronic business documents, including invoices. Participants connect through certified Access Points and exchange documents in the PEPPOL BIS (Business Interoperability Specifications) format. Required for B2G transactions in the EU and adopted in Australia, Singapore, Japan, and elsewhere.
EDI X12Electronic Data Interchange — ASC X12
EDI X12 is the dominant North American standard for structured business-document exchange between trading partners, maintained by the Accredited Standards Committee X12. Common transaction sets include 850 (Purchase Order), 855 (PO Acknowledgment), 856 (Ship Notice / ASN), 810 (Invoice), and 997 (Functional Acknowledgment). Files use a hierarchical structure of envelopes (ISA / GS / ST) and segments separated by delimiters.
GEOGenerative Engine Optimization
Generative Engine Optimization is the practice of measuring and improving how a brand, product, or domain appears inside answers from generative AI engines such as Perplexity, ChatGPT search, Google AI Overviews, Claude, and Gemini. It tracks two distinct signals: mention rate (how often the AI names the brand in an answer) and citation rate (how often the AI links to the brand's domain as a source). The gap between the two reveals brand-authority risk.
Citation gapMention without source
A citation gap exists when an AI engine mentions a brand by name but does not cite its domain as the source for the answer. This is a brand-authority red flag: AI engines have learned about the brand but do not trust its first-party content enough to send users to it. Closing the gap typically requires earning third-party validation, publishing original benchmarks, or restructuring on-site content for AI extraction.
Built and maintained by the Clear Data engineering team. Last updated: Reading time: 6 min

Cleaner data in.
Sharper outcomes out.

Try any of the three tools free. No signup required to validate your first file. Bring your own API key for unlimited use.

Start with Preflight →
© 2026 Clear Data, Inc. No database. No stored files. No tracking.
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