Hosted API Platform

Global Lattice
Deterministic
Integrity.

CaleraLabs.com — Hosted APIs built on the Volumetric Lattice Network. We provide zero-hallucination, provenance-backed answers for critical domain data. When the lattice cannot certify a result, it returns an honest silence. We don't guess.

0.00% Hallucination Rate (FinanceSec)
100% Determinism — Same Query, Same Answer
0 LLMs or Transformers Involved

Live API

FinanceSec — SEC Filing QA ● Checking…

Ask anything about a 10-K, 10-Q, or 8-K. Answers are grounded to a specific filing, page, and XBRL concept — or the API returns honest silence. Try it live.

Checking… financesec.api.caleralabs.com
🔮

Interactive Lattice Playground

Run live queries against historical SEC filings using the floating console. You can scroll, read Hebbian reinforcement logs, and view verification paths side-by-side.

Query Taxonomy — What the Lattice Handles

The VLN classifies every query into one of four categories. Click any example to load it into the console. Every category is a feature, not a limitation — even honest silence is a guarantee no other system offers.

LIVE
Direct Recall

Single-fact answers decoded from frozen SmartWeights with full XBRL provenance chain.

LATTICE_RECALL

SDR encoding → A₄ coordinate walk → Hopfield settling at T=0 → exact basin match. Deterministic: same query, same answer, every time.

LIVE
Analytical Decomposition

Multi-fact ratios and growth rates computed on-the-fly by decomposing into atomic recalls.

Gross Profit ÷ Revenue = Margin
Both facts recalled independently, then computed deterministically.
ANALYTICAL_DECOMPOSER

Decomposes query → recalls component facts → performs arithmetic via domain-layer physics. Each component carries its own provenance chain.

LIVE
Tentative Analysis

Qualitative patterns and judgment calls with explicit caveats — the lattice found evidence but flags uncertainty.

CONFIDENCE_GATE v2.9

When confidence falls between 40–75%, the lattice returns the answer with a TENTATIVE_MATCH flag so you know the evidence is not fully crystallized.

BY DESIGN
Honest Silence

Queries the lattice has no crystallized evidence for — and therefore will never fabricate an answer to.

SAFE_REFUSAL

The lattice physically resonates only with evidence it has crystallized. If the resonance pattern is absent, no output is produced. This is a feature, not a failure.

What Can I Ask?

The FinanceSec API answers questions about SEC filings for 10,000+ public companies in the EDGAR universe. Here's the full range of supported query types:

📊
Financial Metrics

Revenue, net income, gross profit, total assets, operating income, EPS, and all standard XBRL-tagged financial statement items.

Example: "What was Microsoft's net income in FY2022?"
📐
Financial Ratios

Gross margin, operating margin, quick ratio, current ratio, debt-to-equity, ROE, ROA, asset turnover, and DPO — computed from source facts.

Example: "What is AMD's FY2022 quick ratio?"
📈
Growth Rates

Year-over-year revenue growth, net income growth, capex growth, and operating income changes between any two ingested fiscal years.

Example: "What is Amazon's year-over-year change in revenue from FY2016 to FY2017?"
📋
Filing Metadata

Key agendas from 8-K filings, geographic operating regions, registered debt securities, and other structured filing metadata.

Example: "What was the key agenda of Amcor's 8K filing dated 1st July 2022?"
🔍
Qualitative Analysis

Capital intensity assessments, dividend trends, operating margin drivers, and domain-relevant analytical judgments grounded to filing evidence.

Example: "Is 3M a capital-intensive business based on FY2022 data?"
🛡️
Provenance & Audit

Every answer includes the source filing, XBRL concept, document period, page number, and a SHA-256 audit hash for reproducibility.

Example: Click any answer's "Provenance Chain" to see its full audit trail.

Example Queries — FinanceBench Gold Answers

Company
Metric
Period
Value
Confidence

Click any row to load that query into the playground above — company selector and question are pre-filled automatically.

Lattice Statistics

0
Hallucinations
Zero wrong answers on FinanceBench
100%
Precision
Every answer given was verified correct
92%
Recall
138 of 150 FinanceBench questions answered
100%
Coverage
Full coverage of indexed entities
v0.1.7
Version
Platform version
d222effd29c2…
Battery SHA
Reproducibility manifest hash

Upcoming APIs

🏥 Coming Soon

Compliance AI

Regulatory knowledge-grounded QA for healthcare and public-sector compliance teams. Currently in enterprise pilot onboarding.

🚨 Coming Soon

Dispatch Brain

Domain-grounded decision support for municipal dispatch workflows. In government RFP pipeline.

Pricing

Simple, Transparent API Pricing

Monthly Annual 20% Off
Feature
Pilot
Free
14-day trial
Hacker
$99/mo
Indie devs
Startup
$299/mo
Small teams
Most Popular
Starter
$2,000/mo
PE / VC firms
Professional
$5,000/mo
Hedge funds
Enterprise
$10,000/mo
Institutions
Usage
Queries / day 1,000 2,000 8,000 250,000 Unlimited
Company coverage Full EDGAR Full EDGAR Full EDGAR Full EDGAR Full + Custom
Filing types 10-K 10-K, 10-Q 10-K, 10-Q 10-K, 10-Q, 8-K All SEC filings
Concurrent connections 1 2 5 25 Unlimited
Core Guarantees
Zero hallucination
Full provenance chain
Deterministic recall
API Features
Query endpoint
Provenance API
Trend analysis API
Batch query API
Custom XBRL ingestion
Audit & Compliance
Audit log retention 14 days 30 days 90 days 365 days Unlimited
SHA-256 audit hash
Hardware attestation
Support & SLA
Support channel Email Email Email + Slack Dedicated Dedicated + Phone
Uptime SLA 99.5% 99.5% 99.95% 99.99%
Start Free Trial Get Started Get Started Contact Sales Contact Sales

All tiers include our zero hallucination guarantee — same engine, same architecture. No LLM in the answer path. Learn how →

The Substrate

Not a Wrapper Around an LLM

Every CaleraLabs API runs on the Volumetric Lattice Network — a locally-hosted associative memory substrate that learns via Hebbian reinforcement over a geometric lattice, not gradient descent over a transformer.

  • Provenance by construction: Every answer traces back to the source document and evidence span that produced it.
  • Honest refusal: If the lattice has no crystallized evidence for a query, it returns a safe refusal — never a fabricated guess.
  • Deterministic recall: The same query against the same trained model returns the identical answer, every time.
  • Analytical decomposition: Multi-fact queries (margins, ratios, growth rates) are decomposed into atomic recalls, then computed deterministically — each component carries its own provenance chain.
  • No data leaves the lattice: Training data and model weights are never sent to a third-party model provider.

Getting Started

Pilot Access

Every product offers a free pilot tier with a time-limited license key. Sign in to your dashboard to view your API keys, usage analytics, and post-quantum security settings.

Sign In to Dashboard

Built by Calera Computing

CaleraLabs is the public API platform of Calera Computing, Inc. — the team behind the Volumetric Lattice Network.

Lattice Console POST /api/query
System Online

Welcome to the FinanceSec SEC Filing QA interface powered by the Volumetric Lattice Network. Ask queries about 10-Ks, 10-Qs, or 8-Ks.

Every response is strictly deterministic, verified with cryptographic grounding, and has 0.00% hallucination rate by design.