# Clause Input Bindings: Sensor, Credential, Simulation

#### **3.7.1 Why Input Binding Matters in Verifiable Governance**

A Smart Clause is only as trustworthy as the data it operates on.

In conventional governance:

* Inputs are often opaque or unverifiable
* Source attribution is undocumented
* Sensor values can be spoofed
* Credential state is not synchronized with logic
* Simulation models are decoupled from enforcement

In NSF, **Clause Input Binding** creates **explicit, traceable, and secure data interfaces** that:

* Ensure clause logic is bound to **verifiable, source-certified data**
* Authenticate input origin and structure
* Enable **ZK-compatible or TEE-verified** computation
* Establish input-output lineage in the Audit Layer

***

#### **3.7.2 Three Primary Input Types in NSF Clauses**

| Input Type           | Description                                                                             |
| -------------------- | --------------------------------------------------------------------------------------- |
| **Sensor Input**     | Real-time or cached values from trusted physical, geospatial, or remote sensing devices |
| **Credential Input** | Agent credentials, verifiable proofs, and roles                                         |
| **Simulation Input** | Forecast outputs, risk indices, or modeled thresholds                                   |

Each input class is explicitly declared in SCL and linked to a **data validation and origin verification process**.

***

#### **3.7.3 Input Declaration in SCL**

Example:

```scl
inputBindings:
  - type: sensor
    source: EO::NASA::SoilMoisture@v2.0
    field: soilMoisture
    constraint: value < 0.15
  - type: credential
    schema: WaterQualityInspectorVC
    constraint: valid && notRevoked
  - type: simulation
    model: FloodRiskSim@3.2
    field: floodIndex
    constraint: floodIndex > 0.85
```

Each binding is:

* **Typed**
* **Constrained by logic**
* **Cryptographically verifiable at execution time**
* **Included in the CAC output**

***

#### **3.7.4 Sensor Input Bindings**

Sensor bindings can originate from:

* **Earth Observation** (e.g., NASA, Copernicus, Sentinel)
* **IoT Devices** (e.g., river gauges, temperature monitors, air quality sensors)
* **Field Reports** via mobile attestations
* **Trusted data aggregators** with signed hashes

All sensor input must:

* Be signed or attested via a **SensorCredentialVC**
* Include metadata: timestamp, device ID, jurisdiction, source DAO
* Conform to a predefined **data schema** (JSON Schema, GeoJSON, etc.)
* Be auditable and retrievable from the Audit Layer or IPFS/Filecoin archives

***

#### **3.7.5 Credential Input Bindings**

Credential inputs bind execution to:

* **Agent identity and role**
* **Prior verifiable conditions**
* **Institutional authorization**
* **Jurisdictional mapping**

Example:

```scl
require:
  hasCredential(agent, "FoodSafetyInspectorVC")
  && credential.status == "valid"
  && credential.issuedIn == "Kenya"
```

The credential itself:

* Must conform to W3C Verifiable Credential spec
* Be anchored to a recognized schema in the Registry Layer
* Pass revocation and timestamp checks
* Be recorded in the execution trace (CAC)

***

#### **3.7.6 Simulation Input Bindings**

Simulation inputs reference:

* Forecast models
* Risk exposure indices
* Emission projections
* Scenario outputs

They may be:

* **Statically attached** during clause governance
* **Dynamically fetched** from simulation engines (e.g., `ClimateSimRunner`)
* **ZK-verified** (optional for sensitive models)
* **Linked to the clause via SimulationBundle ID**

Example:

```scl
bindSimulation("AgYieldRiskSim@2.1")
field: riskScore
constraint: riskScore > 0.7
```

Sim bindings are hashed and stored in the Audit Layer with:

* Model ID
* Run ID
* Timestamp
* Reviewer signatures (if applicable)

***

#### **3.7.7 Hybrid Inputs and Binding Combinations**

Clauses may use **composite bindings**, such as:

```scl
if sensor.soilMoisture < 0.12
  && simulation.riskIndex > 0.8
  && credential.role == "Inspector"
then issue("DroughtReliefVC")
```

This guarantees:

* Multi-source agreement
* Multimodal threshold enforcement
* Multi-jurisdictional execution constraints

***

#### **3.7.8 Binding Verification at Execution**

All inputs are validated in:

* **TEE-backed enclaves**
* **ZK circuits (if required)**
* **Credential resolution APIs**
* **Sensor registries with attestation logs**

Execution fails if:

* Input schema mismatch
* Signature invalid
* Credential revoked
* Timestamp expired
* Simulation not reproducible

***

#### **3.7.9 CAC Output and Input Provenance**

The **Clause-Attested Compute (CAC)** output includes:

* Input hashes
* Sensor source credential
* Credential holder DID and VC metadata
* Simulation package ID and run parameters
* Timestamp and jurisdictional scope
* Audit trace anchor

This enables **post-hoc execution verification and forensic replay**.

***

#### **3.7.10 Input Bindings as the Roots of Clause Integrity**

Without input binding, clause logic is untrustworthy.

With it, every clause execution is:

* Anchored to real, verifiable data
* Bound to roles, jurisdictions, and evidence
* Traceable through audit and registry links
* Enforceable across agents, contracts, and systems
* Transparent for review, override, or escalation

**Input bindings make every clause execution a truth-enforced act.**

***


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