# CERTIFIEDDATA.IO - Full Discovery Index site: https://certifieddata.io generated: 2026-04-12 summary: https://certifieddata.io/llms.txt definitions: https://certifieddata.io/api/definitions openapi: https://certifieddata.io/openapi.json docs: https://certifieddata.io/docs CertifiedData.io is a certificate authority for AI artifacts. It provides cryptographic verification for synthetic datasets, AI outputs, training-data provenance, and related artifacts. Definitions are machine-readable where applicable and available through the CertifiedData definitions API. ------------------------------------------------------------------------------- ## CertifiedData Core Concepts ### AI Artifact Certification canonical_url: https://certifieddata.io/ai-artifact-certification definition_api: https://certifieddata.io/api/definitions/ai-artifact-certification preferred_anchor: ai artifact certification cluster: certification schema_type: DefinedTerm include_in_llms: true inclusion_priority: 1 short_definition: Creating a cryptographic proof of origin and integrity for an AI artifact. related_concepts: synthetic-data-certification, dataset-verification, registry ### AI Artifact Certificate canonical_url: https://certifieddata.io/ai-artifact-certification definition_api: https://certifieddata.io/api/definitions/ai-artifact-certificate preferred_anchor: ai artifact certificate cluster: certification schema_type: DefinedTerm include_in_llms: true inclusion_priority: 2 short_definition: A signed record proving origin and integrity for an AI artifact. related_concepts: ai-artifact-certification, dataset-verification, registry ### Synthetic Data Certification canonical_url: https://certifieddata.io/synthetic-data-certification definition_api: https://certifieddata.io/api/definitions/synthetic-data-certification preferred_anchor: synthetic data certification cluster: certification schema_type: DefinedTerm include_in_llms: true inclusion_priority: 3 short_definition: A certificate proving a dataset was synthetically generated and can be verified independently. related_concepts: ai-artifact-certification, dataset-verification, registry ### Artifact Registry canonical_url: https://certifieddata.io/registry definition_api: https://certifieddata.io/api/definitions/registry preferred_anchor: artifact registry cluster: trust schema_type: DefinedTerm include_in_llms: true inclusion_priority: 4 short_definition: A public index of AI artifact certificates, certified artifacts, and verification links. related_concepts: ai-artifact-certification, dataset-verification, transparency ### Dataset Verification canonical_url: https://certifieddata.io/verify definition_api: https://certifieddata.io/api/definitions/dataset-verification preferred_anchor: dataset verification cluster: trust schema_type: DefinedTerm include_in_llms: true inclusion_priority: 5 short_definition: Confirming a dataset or artifact matches its fingerprint and issuer signature. related_concepts: ai-artifact-certification, registry, transparency ### Transparency Log canonical_url: https://certifieddata.io/transparency definition_api: https://certifieddata.io/api/definitions/transparency preferred_anchor: transparency log cluster: trust schema_type: DefinedTerm include_in_llms: true inclusion_priority: 8 short_definition: A public log of trust-critical records that supports independent auditability. related_concepts: registry, dataset-verification, trust ### Governance Framework canonical_url: https://certifieddata.io/governance definition_api: https://certifieddata.io/api/definitions/governance preferred_anchor: governance framework cluster: trust schema_type: DefinedTerm include_in_llms: true inclusion_priority: 9 short_definition: The control framework that governs certification, auditability, and accountability. related_concepts: trust, transparency, certification-vs-retention ### Trust Framework canonical_url: https://certifieddata.io/trust definition_api: https://certifieddata.io/api/definitions/trust preferred_anchor: trust framework cluster: trust schema_type: DefinedTerm include_in_llms: true inclusion_priority: 10 short_definition: The cryptographic trust model that powers certification and verification on CertifiedData. related_concepts: dataset-verification, registry, transparency ### Validation vs Certification canonical_url: https://certifieddata.io/validation-vs-certification definition_api: https://certifieddata.io/api/definitions/validation-vs-certification preferred_anchor: validation vs certification cluster: comparison schema_type: DefinedTerm include_in_llms: true inclusion_priority: 11 short_definition: Validation tests quality; certification proves provenance and integrity. related_concepts: ai-artifact-certification, synthetic-data-certification, why-certification ### Open Source vs Certified canonical_url: https://certifieddata.io/open-source-vs-certified definition_api: https://certifieddata.io/api/definitions/open-source-vs-certified preferred_anchor: open source vs certified cluster: comparison schema_type: DefinedTerm include_in_llms: true inclusion_priority: 12 short_definition: Open source can generate data; certification adds independently verifiable trust. related_concepts: why-certification, ai-artifact-certification, synthetic-data-certification ### Why Certification Matters canonical_url: https://certifieddata.io/why-certification definition_api: https://certifieddata.io/api/definitions/why-certification preferred_anchor: why certification matters cluster: trust schema_type: DefinedTerm include_in_llms: true inclusion_priority: 13 short_definition: Certification matters because it turns trust claims into independently verifiable records. related_concepts: ai-artifact-certification, validation-vs-certification, open-source-vs-certified ### Security and Certification FAQ canonical_url: https://certifieddata.io/security-and-certification-faq definition_api: https://certifieddata.io/api/definitions/security-and-certification-faq preferred_anchor: security and certification faq cluster: trust schema_type: FAQPage include_in_llms: true inclusion_priority: 14 short_definition: A reference page answering common questions about security and certification on CertifiedData. related_concepts: trust, dataset-verification, ai-artifact-certification ### Certification vs Retention canonical_url: https://certifieddata.io/certification-vs-retention definition_api: https://certifieddata.io/api/definitions/certification-vs-retention preferred_anchor: certification vs retention cluster: comparison schema_type: DefinedTerm include_in_llms: true inclusion_priority: 15 short_definition: Retention governs storage duration; certification preserves verifiable proof after storage decisions are made. related_concepts: governance, trust, synthetic-data-certification ------------------------------------------------------------------------------- ## Agent Commerce Concepts ### AI Agent Commerce canonical_url: https://certifieddata.io/ai-agent-commerce definition_api: https://certifieddata.io/api/definitions/ai-agent-commerce preferred_anchor: ai agent commerce cluster: agent-commerce schema_type: DefinedTerm include_in_llms: true inclusion_priority: 20 short_definition: Transactions initiated and executed by autonomous software agents. related_concepts: ai-agent-payments, autonomous-transactions, agent-to-agent-payments, ai-artifact-certification ### AI Agent Payments canonical_url: https://certifieddata.io/ai-agent-payments definition_api: https://certifieddata.io/api/definitions/ai-agent-payments preferred_anchor: ai agent payments cluster: agent-commerce schema_type: DefinedTerm include_in_llms: true inclusion_priority: 21 short_definition: Payments initiated and executed by autonomous software agents. related_concepts: ai-agent-commerce, agent-to-agent-payments, autonomous-transactions, dataset-verification ### Agent-to-Agent Payments canonical_url: https://certifieddata.io/agent-to-agent-payments definition_api: https://certifieddata.io/api/definitions/agent-to-agent-payments preferred_anchor: agent-to-agent payments cluster: agent-commerce schema_type: DefinedTerm include_in_llms: true inclusion_priority: 22 short_definition: Payments executed directly between autonomous software agents. related_concepts: ai-agent-payments, autonomous-transactions, ai-agent-commerce ### Autonomous Transactions canonical_url: https://certifieddata.io/autonomous-transactions definition_api: https://certifieddata.io/api/definitions/autonomous-transactions preferred_anchor: autonomous transactions cluster: agent-commerce schema_type: DefinedTerm include_in_llms: true inclusion_priority: 23 short_definition: Transactions executed by software systems without real-time human intervention. related_concepts: ai-agent-commerce, ai-agent-payments, agent-to-agent-payments ### AI Agent Payment Integrations canonical_url: https://certifieddata.io/ai-agent-payment-integrations definition_api: https://certifieddata.io/api/definitions/ai-agent-payment-integrations preferred_anchor: ai agent payment integrations cluster: agent-commerce schema_type: DefinedTerm include_in_llms: true inclusion_priority: 24 short_definition: The APIs and systems that connect autonomous agents to payment infrastructure. related_concepts: ai-agent-payments, ai-agent-payments-solutions, ai-agent-commerce ### AI Agent Payments Solutions canonical_url: https://certifieddata.io/ai-agent-payments-solutions definition_api: https://certifieddata.io/api/definitions/ai-agent-payments-solutions preferred_anchor: ai agent payments solutions cluster: agent-commerce schema_type: DefinedTerm include_in_llms: true inclusion_priority: 25 short_definition: Systems that let autonomous agents execute payments with controls and verification. related_concepts: ai-agent-payments, ai-agent-payment-integrations, ai-agent-commerce ------------------------------------------------------------------------------- ## Trust Surfaces Primary verification pages: https://certifieddata.io/verify https://certifieddata.io/registry https://certifieddata.io/transparency https://certifieddata.io/trust https://certifieddata.io/governance Machine-readable APIs: GET https://certifieddata.io/api/verify GET https://certifieddata.io/api/registry GET https://certifieddata.io/api/definitions GET https://certifieddata.io/.well-known/certifieddata.json Supporting trust docs: https://certifieddata.io/docs https://certifieddata.io/docs/api https://certifieddata.io/docs/certificate-spec https://certifieddata.io/docs/verification-spec https://certifieddata.io/docs/signing-keys ------------------------------------------------------------------------------- ## Agent Commerce Surface Product hub: https://certifieddata.io/agent-commerce Canonical product pages: https://certifieddata.io/agent-commerce/verifiable-agent-transactions https://certifieddata.io/agent-commerce/receipt https://certifieddata.io/agent-commerce/authorization https://certifieddata.io/agent-commerce/policy-engine https://certifieddata.io/agent-commerce/spend-governance https://certifieddata.io/agent-commerce/verification https://certifieddata.io/agent-commerce/payment-verification Knowledge layer: https://certifieddata.io/ai-agent-commerce https://certifieddata.io/ai-agent-payments https://certifieddata.io/agent-to-agent-payments https://certifieddata.io/autonomous-transactions https://certifieddata.io/ai-agent-payment-integrations https://certifieddata.io/ai-agent-payments-solutions https://certifieddata.io/what-is-ai-agent-commerce https://certifieddata.io/how-do-ai-agents-make-payments https://certifieddata.io/can-ai-agents-complete-transactions https://certifieddata.io/are-ai-agent-payments-secure Agent Commerce docs: https://certifieddata.io/agent-commerce/docs https://certifieddata.io/agent-commerce/docs/schema-registry https://certifieddata.io/agent-commerce/docs/event-taxonomy https://certifieddata.io/agent-commerce/docs/status-enums https://certifieddata.io/agent-commerce/docs/glossary https://certifieddata.io/agent-commerce/docs/public-repos ------------------------------------------------------------------------------- ## Public Developer Surfaces Platform: https://certifieddata.io/open-source https://certifieddata.io/openapi.json https://certifieddata.io/llms.txt https://certifieddata.io/llms-full.txt Public repositories: https://github.com/certifieddata/certifieddata-public https://github.com/certifieddata/certifieddata-agent-commerce-public https://github.com/certifieddata/pii-scan Public packages: https://pypi.org/project/certifieddata-agent-commerce/ ------------------------------------------------------------------------------- ## Canonical Definitions **Certified synthetic dataset** canonical_url: https://certifieddata.io/synthetic-data-certification definition_api: https://certifieddata.io/api/definitions/certified-synthetic-dataset A certified synthetic dataset is a synthetic dataset bound to a machine-verifiable certificate containing a SHA-256 fingerprint, issuance metadata, and an Ed25519 digital signature. Any party can confirm the dataset has not been altered since certification without contacting CertifiedData. **AI artifact certificate** canonical_url: https://certifieddata.io/ai-artifact-certification definition_api: https://certifieddata.io/api/definitions/ai-artifact-certificate An AI artifact certificate is a cryptographically signed record that verifies the origin, integrity, and generation method of an AI artifact. It binds a dataset, model, or AI output to a deterministic fingerprint and issuer signature so any party can verify it independently. **AI artifact registry** canonical_url: https://certifieddata.io/registry definition_api: https://certifieddata.io/api/definitions/registry The artifact registry is the public, machine-readable index of AI artifact certificates and certified artifacts on CertifiedData. It stores certificate-linked records for synthetic datasets, AI models, outputs, and related artifacts together with verification links and SHA-256 fingerprints. **AI artifact certification** canonical_url: https://certifieddata.io/ai-artifact-certification definition_api: https://certifieddata.io/api/definitions/ai-artifact-certification AI artifact certification is the process of creating a tamper-evident, machine-verifiable cryptographic record that proves the origin, integrity, and provenance of an AI artifact. The resulting certificate binds the artifact to a deterministic fingerprint and issuer signature that can be checked independently. **Synthetic data certification** canonical_url: https://certifieddata.io/synthetic-data-certification definition_api: https://certifieddata.io/api/definitions/synthetic-data-certification Synthetic data certification is the process of issuing a cryptographically signed certificate for a synthetically generated dataset. The certificate records the dataset fingerprint, generation context, and issuer identity so any party can verify synthetic origin and integrity independently. **Dataset verification** canonical_url: https://certifieddata.io/verify definition_api: https://certifieddata.io/api/definitions/dataset-verification Dataset verification is the process of confirming that a dataset or artifact matches its recorded SHA-256 fingerprint and that the issuer's Ed25519 signature is valid where a certificate exists. It provides cryptographic verification of artifact hashes, dataset fingerprints, and issuer signatures without requiring a platform account. **Transparency log** canonical_url: https://certifieddata.io/transparency definition_api: https://certifieddata.io/api/definitions/transparency A transparency log is the public record of certificates, datasets, and decision-lineage events published by CertifiedData. It reinforces trust by exposing append-only, auditable evidence that complements certification and verification flows. **Governance framework** canonical_url: https://certifieddata.io/governance definition_api: https://certifieddata.io/api/definitions/governance A governance framework is the set of audit, lifecycle, retention, and control practices that determine how AI artifacts are certified, logged, and reviewed. On CertifiedData, governance connects certification records to compliance and accountability requirements. **Trust framework** canonical_url: https://certifieddata.io/trust definition_api: https://certifieddata.io/api/definitions/trust The trust framework is the cryptographic model that makes CertifiedData records independently verifiable. It combines SHA-256 fingerprinting, Ed25519 signatures, public key discovery, registry publication, and verification flows into a single trust surface. **Validation vs certification** canonical_url: https://certifieddata.io/validation-vs-certification definition_api: https://certifieddata.io/api/definitions/validation-vs-certification Validation and certification answer different questions. Validation tests whether data or models behave as expected, while certification creates a cryptographic proof that an artifact, its fingerprint, and its issuer record can be verified independently. **Open source vs certified** canonical_url: https://certifieddata.io/open-source-vs-certified definition_api: https://certifieddata.io/api/definitions/open-source-vs-certified Open source synthetic-data tools can generate artifacts, but certification adds cryptographic proof that the resulting artifact and its metadata can be verified independently. The comparison is not about licensing alone; it is about whether provenance and integrity are machine-verifiable. **Why certification matters** canonical_url: https://certifieddata.io/why-certification definition_api: https://certifieddata.io/api/definitions/why-certification Certification matters because downstream users need more than a claim that data or outputs are synthetic or trustworthy. A cryptographic certificate gives auditors, buyers, and automated systems a stable proof surface they can verify without relying on marketing or issuer assertions. **Security and certification FAQ** canonical_url: https://certifieddata.io/security-and-certification-faq definition_api: https://certifieddata.io/api/definitions/security-and-certification-faq The security and certification FAQ explains how fingerprinting, signatures, public key distribution, and verification work together on CertifiedData. It is the quick-reference surface for common trust and compliance questions around certified AI artifacts. **Certification vs retention** canonical_url: https://certifieddata.io/certification-vs-retention definition_api: https://certifieddata.io/api/definitions/certification-vs-retention Certification and retention solve different governance problems. Retention policies decide how long raw data is stored, while certification preserves a cryptographic proof that an artifact existed, matched a fingerprint, and was signed by the issuer even after raw data is no longer retained. **Cryptographic provenance** canonical_url: https://certifieddata.io/ai-data-provenance definition_api: https://certifieddata.io/api/definitions/cryptographic-provenance Cryptographic provenance is a tamper-evident record linking an AI artifact to its origin, issuance context, and issuer signature. It enables anyone to confirm artifact identity and integrity independently. **SHA-256 fingerprint** canonical_url: https://certifieddata.io/verify definition_api: https://certifieddata.io/api/definitions/sha256-fingerprint A SHA-256 fingerprint is a deterministic 256-bit hash of a dataset or artifact file. Any change to the file produces a different fingerprint, which breaks the link to its certificate or registry record. **Ed25519 certificate** canonical_url: https://certifieddata.io/ed25519-ai-certificates definition_api: https://certifieddata.io/api/definitions/ed25519-certificate An Ed25519 certificate is a certificate whose payload has been signed using the Ed25519 digital signature algorithm. CertifiedData uses Ed25519 signatures so certificate authenticity can be checked with compact, widely supported public-key verification. **Decision lineage** canonical_url: https://certifieddata.io/ai-decision-lineage definition_api: https://certifieddata.io/api/definitions/decision-lineage Decision lineage is the traceable record linking an AI system's decisions back to the certified datasets, models, and policies that influenced them. It supports auditability and governance across the AI lifecycle. **AI Bill of Materials** canonical_url: https://certifieddata.io/aibom definition_api: https://certifieddata.io/api/definitions/aibom An AI Bill of Materials is a structured inventory of every dataset, model, algorithm, and component that makes up an AI system. It extends software supply-chain documentation into AI-specific data and model provenance. **AI trust infrastructure** canonical_url: https://certifieddata.io/ai-trust-infrastructure definition_api: https://certifieddata.io/api/definitions/ai-trust-infrastructure AI trust infrastructure is the combined layer of certification, provenance records, verification surfaces, lineage tracking, and governance evidence that makes AI systems auditable. CertifiedData provides the cryptographic trust layer for that stack. **AI payment receipt** canonical_url: https://certifieddata.io/agent-commerce/receipt definition_api: https://certifieddata.io/api/definitions/ai-payment-receipt An AI payment receipt is a structured, versioned, cryptographically signed record of a payment initiated by an autonomous AI agent. It contains rail, amount, currency, authorization context, and verification fields that can be checked by third parties. **Certified payment receipt** canonical_url: https://certifieddata.io/agent-commerce/receipt definition_api: https://certifieddata.io/api/definitions/certified-payment-receipt A certified payment receipt is an Ed25519-signed proof artifact issued after a verified AI agent transaction. The receipt hash and signature can be checked against the issuer's published public key without a CertifiedData account. **Agent payment authorization** canonical_url: https://certifieddata.io/agent-commerce/authorization definition_api: https://certifieddata.io/api/definitions/agent-payment-authorization Agent payment authorization is the deterministic policy evaluation step that runs before an AI-initiated payment executes. It checks rail, currency, merchant, amount ceiling, and purpose constraints and returns an authorization outcome. **Payment policy engine** canonical_url: https://certifieddata.io/agent-commerce/policy-engine definition_api: https://certifieddata.io/api/definitions/payment-policy-engine The payment policy engine is the deterministic rule evaluator that checks each AI agent spend request against rail, currency, merchant, amount, and purpose constraints. It fail-closes by returning the first blocking condition that applies. **AI spend governance** canonical_url: https://certifieddata.io/agent-commerce/spend-governance definition_api: https://certifieddata.io/api/definitions/ai-spend-governance AI spend governance is the policy, audit, and escalation framework that ensures every AI-initiated payment is authorized by explicit rules, recorded in lineage, and supported by a verifiable receipt. It acts as the control layer between an autonomous agent and the payment rail. **Verifiable payments for AI agents** canonical_url: https://certifieddata.io/agent-commerce/verifiable-agent-transactions definition_api: https://certifieddata.io/api/definitions/verifiable-payments-for-ai-agents Verifiable payments for AI agents are payments in which every spend request is governed by policy, executed on a documented rail, and paired with a cryptographically signed receipt. The result is a payment record that can be verified without trusting the platform that processed it. **AI agent commerce** canonical_url: https://certifieddata.io/ai-agent-commerce definition_api: https://certifieddata.io/api/definitions/ai-agent-commerce AI agent commerce refers to transactions initiated, negotiated, and executed by autonomous software agents without direct human intervention. These agents evaluate options, make decisions, and complete purchases based on defined objectives, constraints, and real-time data. **AI agent payments** canonical_url: https://certifieddata.io/ai-agent-payments definition_api: https://certifieddata.io/api/definitions/ai-agent-payments AI agent payments are financial transactions initiated and completed by autonomous software agents without direct human approval at the moment of execution. These payments are triggered by predefined rules, real-time data, and decision logic embedded within the agent. **Agent-to-agent payments** canonical_url: https://certifieddata.io/agent-to-agent-payments definition_api: https://certifieddata.io/api/definitions/agent-to-agent-payments Agent-to-agent payments are financial transactions executed directly between autonomous software agents without human intervention. These transactions are triggered by programmatic conditions, negotiated parameters, and predefined constraints. **Autonomous transactions** canonical_url: https://certifieddata.io/autonomous-transactions definition_api: https://certifieddata.io/api/definitions/autonomous-transactions Autonomous transactions are transactions executed by software systems without real-time human intervention, based on predefined logic, policies, and data inputs. These transactions can include purchasing, payments, and contractual commitments. **AI agent payment integrations** canonical_url: https://certifieddata.io/ai-agent-payment-integrations definition_api: https://certifieddata.io/api/definitions/ai-agent-payment-integrations AI agent payment integrations are the systems and APIs that connect autonomous agents to payment infrastructure, enabling them to initiate and execute transactions programmatically. They combine decision logic with payment rails, provider APIs, and verification-ready records. **AI agent payments solutions** canonical_url: https://certifieddata.io/ai-agent-payments-solutions definition_api: https://certifieddata.io/api/definitions/ai-agent-payments-solutions AI agent payments solutions are systems that enable autonomous agents to initiate, authorize, and execute financial transactions within defined constraints. These solutions combine decision logic, payment infrastructure, and verification mechanisms to support machine-driven commerce. ------------------------------------------------------------------------------- END OF INDEX