Verifiable provenance · agent economy

Know where data came from. Pay when declared checks pass.

Live rails for source-attributed readings, pay-per-call agents, and focused products that preserve evidence boundaries.

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Two ways to read the system

Start from the outcome you need

The same rails create developer leverage and investor optionality.

01

Developer path

Build on verified physical-world data

Understand the architecture, inspect live rails, choose a capability, and find the thin product layer you can build.

02

Investor path

See how verifiable provenance becomes economic leverage

Connect the moat, live evidence, monetization rails, reusable infrastructure, and potential vertical products.

Proof in 60 seconds

Don’t take our word for it. Run the system.

One real weather reading. One signed envelope. One receipt. No account and no simulated success.

gaia.weather.read@v1 $0.001
01 · COPY OR RUN
curl -sS https://iot.modelmarket.dev/ai-market/v2/invoke \
  -H 'Content-Type: application/json' \
  -d '{"capability_id":"gaia.weather.read@v1","input":{"device_id":"nws-01"}}'

Ready. The button performs a real public demo invoke against GAIA.

CLICK THE SYSTEM LIVE RAILS · OPTIONAL VERIFICATION
PLAIN-LANGUAGE DECODER

One system, not separate projects

How verifiable provenance becomes economic value

Each stage makes the next one possible; shared rails lower the cost of launching another vertical product.

  1. 01Physical sourceA device or external feed observes the world.
  2. 02Signed readingIdentity, signature, and sequence preserve provenance.
  3. 03VerificationLIVE stays distinct from SIM and invalid evidence fails closed.
  4. 04Paid invokeAgents and apps buy one capability call.
  5. 05Verified settlementValid result → pay; fault → refund; silence → $0.
  6. 06Vertical productA builder turns the receipt-backed fact into a decision.
Per-reading attestationAuditability and fewer provenance disputes.
Pay-on-VerifiedBuyers pay for usable results, not failed delivery.
Shared capabilitiesNew products reuse identity, verification, billing, and receipts.

Practical paths

Pick a door. Three steps. Live links.

One path. No monorepo tour. Finish in minutes.

For humans who want honesty on a map — not another dashboard.

  1. 01
    Open ATLAS

    Planetary glass. Pins are LIVE or SIM — never mixed without a badge.

    Open ATLAS
  2. 02
    Choose a live scenario

    Open a focused ATLAS view, then inspect the callable watchbox product that evaluates a bbox and layers.

  3. 03
    Inspect one pin

    device_id, signature, seq — the receipt behind the glass.

    Open GAIA fleet

Opportunity map

Potential products on shared rails

A catalog of what developers could build and investors can evaluate. Status shows evidence maturity — not market size.

live surface

A product or callable surface operates now.

build-ready

Shared rails exist; a focused application layer remains.

design partner

The path needs domain validation with a partner.

hypothesis

A possible application that still needs demand evidence.

Publish → read

Can people connect sensors and read them through GAIA?

Yes — as providers of attested relays, not “plug any USB and forget.”

01
Relay / deviceSigns readings (Ed25519) with seq
02
GAIACapability e.g. gaia.weather.read@v1
03
HubAgents / apps buy the invoke
04
ATLASLIVE pin for humans

Self-hosted (MIT) or use hosted surfaces. Demo fleet ≠ mass plug-and-play for every chip yet — the product path is clear.

For micro-investors & angels

Introduction with prospects

Short narrative. Approximate market context. Sources named. Not a prospectus.

INTERACTIVE UNIT ECONOMICS

See how a micro-call becomes a market.

Change every assumption. This is a transparent model, not a revenue forecast.

LIVE pins
stations
layers
Connecting to ATLAS
DAILY VOLUME100,000invokes
MONTHLY CALL VALUE$3,000
PROVIDER EARNINGS$2,100
PLATFORM GROSS SHARE$900

Illustration before infrastructure, verification, support, tax, and acquisition costs. No forecast or promised return.

Disclaimer. Figures below are approximate third-party industry estimates for adjacent markets — not AIMarket revenue, ARR, or a promise of capture. Methodologies differ across firms (sometimes by an order of magnitude). Treat as orientation for the room; verify primary reports before diligence. This page is not an offer to sell securities.

Verifiable provenance → agent economy → vertical products

The system preserves who produced a result, from which source, under which checks. Agents can buy one capability call; payment eligibility follows the declared verification policy.

We already ship GAIA (attested IoT), Pay-on-Verified, ATLAS (LIVE vs SIM), Hub, oracles, and operator glass — live URLs above. Capital accelerates volume on those rails and thin entry products into verticals that already spend on physical-world data.

Why the door is open

Incumbents sell forecasts and dashboards. Gaps we productize: per-reading attestation, agent-native micro-billing, economic end for bad data (refund / silence), and honest LIVE vs SIM for humans.

Adjacent spend (illustrative ranges)

Vertical Approx. industry range Our path (not claimed share)
Parametric insurance ~$15–25B class mid-decade (varies widely by report) Oracle input → threshold → partner payout
Supply-chain visibility / SCM Visibility software ~low–mid $B; broader SCM tens of $B Attested evidence streams · ATLAS wall
Energy / grid digital Large fragmented (intensity, DR, metering) — treat as $10B+ opportunity class energy.read / grid signals
Compliance / reporting tech Broad GRC/ESG tooling often cited in tens of $B Signed packs · export APIs
Prediction / event markets Fast-moving; often cited ~$10B+ opportunity narratives Physical resolution oracle

These are input markets apps plug into — not our booked ARR.

Sources (start here — confirm in originals)

  • Parametric insurance growth commentary citing Global Market Insights / Allied Market Research / Market.US ranges — Society of Actuaries overview: SOA (Jan 2026). Note: SOA authors stress veracity of marketing-research projections varies. SOA
  • Parametric market sizing examples: Mordor Intelligence (different definition → much smaller $B) vs broader premium narratives — use the spread as a caution. Mordor
  • Supply chain visibility software: Future Market Insights (~$3.5B in 2026 → ~$12B by 2036 class). FMI
  • Broader supply chain management: Grand View Research (SCM ~$26B in 2024 → ~$49B by 2030 class). Grand View
  • Live product surfaces (primary, not TAM): GAIA · ATLAS · Hub. GAIA · ATLAS · Hub

What investors are buying

Category ownership of agent-native physical oracle + settlement — with a map into insurance, supply chain, energy, compliance, and insight agents. We do not need to be the insurer on day one.

Diligence starts from the live rails and named sources on this page — not an offline pack.