{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-apidna","slug":"apidna","name":"APIDNA","type":"agent","url":"https://apidna.ai/","page_url":"https://unfragile.ai/apidna","categories":["automation"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-apidna__cap_0","uri":"capability://planning.reasoning.domain.specialized.agent.deployment.for.vertical.workflows","name":"domain-specialized agent deployment for vertical workflows","description":"Deploys pre-trained, domain-specific AI agents (ReconciliationAgent, ComplianceAgent, DataAgent, etc.) that are vertically trained on industry-specific knowledge rather than prompted generically. Each agent understands domain workflows, rules, and operational context through training on vertical datasets, enabling agents to execute complex multi-step processes without generic prompt engineering. Agents operate in parallel across connected systems with real-time state tracking (COMPLETED, RUNNING, PENDING).","intents":["Deploy specialized agents for transaction reconciliation without building custom reconciliation logic","Execute compliance reporting workflows that understand regulatory requirements (PSD2, DORA, GDPR) natively","Run multi-agent orchestrations where different agents handle different domains simultaneously","Reduce time-to-deployment for domain-specific automation from months to <48 hours"],"best_for":["Financial services operations teams managing transaction reconciliation and regulatory reporting","Compliance and risk teams automating multi-system audit workflows","Enterprise integration teams replacing manual domain-specific processes with agentic automation"],"limitations":["Vertical training limits cross-domain reasoning — agents cannot generalize to novel business domains outside their training scope","No documented ability to customize agent behavior beyond pre-trained workflows; custom business logic appears unsupported","Agent accuracy is 99.98% — 0.02% error rate means exceptions still require human review at scale","Deployment time claimed as <48h but actual configuration process and knowledge input requirements are undocumented"],"requires":["Access to APIDNA platform (agent.apidna.io)","Domain context definition (workflows, rules, operational requirements) — format and process unknown","Connected systems with documented APIs or schema definitions","Pricing tier with agent deployment capability (pricing model unknown)"],"input_types":["workflow definitions (format unknown)","domain context and operational rules (format unknown)","system integration schemas (REST/GraphQL/SOAP support unknown)"],"output_types":["agent execution logs with state tracking","matched/reconciled records","compliance reports (PSD2, DORA format)","audit trails with exception flags"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_1","uri":"capability://data.processing.analysis.multi.source.transaction.reconciliation.with.anomaly.flagging","name":"multi-source transaction reconciliation with anomaly flagging","description":"Automatically matches transactions across multiple data feeds (demonstrated with 48,203 transactions) using domain-trained reconciliation logic that understands transaction schemas, matching rules, and exception patterns. The ReconciliationAgent ingests multi-source transaction data, applies learned matching heuristics, and flags unmatched or anomalous transactions for human review. Achieves 99.98% match accuracy without manual rule configuration.","intents":["Reconcile transactions across multiple payment systems, banks, and ledgers automatically","Identify transaction mismatches and exceptions without manual line-by-line review","Reduce reconciliation time from hours/days to minutes for large transaction volumes","Generate reconciliation reports with matched pairs and exception summaries"],"best_for":["Financial operations teams processing >10,000 daily transactions across multiple systems","Payment processors reconciling customer transactions with settlement feeds","Treasury teams matching internal ledgers with bank statements and payment networks"],"limitations":["99.98% accuracy means 0.02% error rate — at 48,203 transactions, ~10 transactions may be incorrectly matched and require manual verification","No documentation of latency per transaction or throughput limits; current load shown as 3,847 actions/min but scaling behavior unknown","Matching logic is proprietary and vertically trained — cannot customize matching rules or add domain-specific heuristics","No mention of support for custom transaction schemas or non-standard data formats"],"requires":["Transaction data from multiple sources in documented format (format unknown)","Schema definitions for each transaction source (REST API, database, file format)","Access to APIDNA ReconciliationAgent deployment","Human review process for flagged exceptions (agent does not auto-resolve)"],"input_types":["transaction feeds (format/schema unknown)","transaction metadata (amounts, dates, parties, references)","matching rule definitions (if customizable — undocumented)"],"output_types":["matched transaction pairs with confidence scores","unmatched transaction exceptions with reason codes","reconciliation summary reports (format unknown)","audit logs of all matching decisions"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_10","uri":"capability://automation.workflow.deployment.and.configuration.management.with.48h.time.to.value","name":"deployment and configuration management with <48h time-to-value","description":"Enables rapid deployment of domain-specialized agents with claimed <48 hour time-to-value through pre-built agent templates, automated schema discovery, and guided configuration workflows. Configuration process handles system integration setup, workflow definition, and agent customization without requiring custom code or extensive training. Deployment includes agent provisioning, system integration validation, and production readiness checks.","intents":["Deploy domain-specialized agents for transaction reconciliation and compliance reporting in <48 hours","Configure system integrations and workflows without custom development","Validate agent configuration and system integrations before production deployment","Manage agent versions and updates without disrupting production workflows"],"best_for":["Organizations seeking rapid automation deployment without extensive custom development","Teams with limited technical resources for agent configuration and integration","Enterprises requiring quick time-to-value for compliance and operational automation"],"limitations":["Configuration process and interface are undocumented — unclear if configuration is UI-based, API-based, or code-based","Actual deployment time depends on system integration complexity — <48h claim may not apply to complex multi-system integrations","No mention of configuration validation or testing before production deployment","Agent customization capabilities are undocumented — unclear what can be customized beyond pre-built templates","No documentation of rollback or version management procedures"],"requires":["System integration schemas and API documentation","Workflow definitions (format and process unknown)","Agent configuration parameters (parameters and defaults unknown)","Production environment setup (infrastructure, access controls, monitoring)"],"input_types":["system integration schemas","workflow definitions","agent configuration parameters","deployment environment specifications"],"output_types":["deployed agents in production environment","system integration validation results","deployment configuration and documentation","production readiness checklist"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_2","uri":"capability://data.processing.analysis.regulatory.compliance.report.generation.with.multi.standard.support","name":"regulatory compliance report generation with multi-standard support","description":"Generates compliance reports in multiple regulatory formats (PSD2, DORA, GDPR, SOC 2 Type II, ISO 20022) by extracting relevant data from connected systems and formatting according to regulatory schema requirements. The ComplianceAgent understands regulatory requirements natively through vertical training and maps operational data to compliance report structures without manual template configuration. Reports include audit trails and exception handling for non-compliant data.","intents":["Generate PSD2 compliance reports automatically from transaction and operational data","Create DORA (Digital Operational Resilience Act) reports for regulatory submission","Produce SOC 2 Type II audit reports with control evidence and exception tracking","Ensure compliance reports include required audit trails and governance approvals"],"best_for":["Compliance teams in regulated financial institutions (banks, payment processors, fintech)","Risk and audit teams automating regulatory reporting workflows","Organizations subject to PSD2, DORA, GDPR, or SOC 2 compliance requirements"],"limitations":["Regulatory standards are rapidly evolving (PSD2 amendments, DORA implementation timelines) — no documentation of how agent training is updated for regulatory changes","Report generation accuracy depends on data quality from source systems; agent cannot validate or correct upstream data issues","No mention of support for custom regulatory requirements or jurisdiction-specific variations","Compliance reports still require human review and sign-off (agent does not auto-submit to regulators)"],"requires":["Connected systems with transaction, operational, and control data","Data schemas mapped to compliance report requirements (mapping process undocumented)","Regulatory framework definitions (PSD2, DORA, etc. — pre-configured or custom unknown)","Audit trail infrastructure to track report generation and approvals","Compliance officer or risk team to review and approve generated reports"],"input_types":["transaction data (amounts, dates, parties, channels)","operational metrics (uptime, incident logs, control test results)","incident and exception logs","system and control documentation"],"output_types":["PSD2 compliance reports (format unknown — likely XML or structured data)","DORA resilience reports with control evidence","SOC 2 Type II audit reports with control mappings","Compliance exception summaries with remediation tracking"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_3","uri":"capability://memory.knowledge.regulatory.document.indexing.and.knowledge.base.retrieval","name":"regulatory document indexing and knowledge base retrieval","description":"Indexes regulatory and operational documents (demonstrated with 1,204 documents indexed) into a searchable knowledge base that agents can query to understand regulatory requirements, operational policies, and compliance rules. The KnowledgeAgent maintains an indexed corpus of regulatory documents (PSD2 guidance, DORA requirements, GDPR regulations, etc.) and enables other agents to retrieve relevant context when executing workflows. Supports semantic search and context-aware retrieval for agent decision-making.","intents":["Build a searchable knowledge base of regulatory documents for agent reference","Enable agents to retrieve relevant regulatory context when processing transactions or generating reports","Maintain up-to-date regulatory knowledge without manual agent retraining","Support compliance teams in finding regulatory requirements and guidance quickly"],"best_for":["Compliance and legal teams managing large regulatory document repositories","Organizations with complex multi-jurisdiction regulatory requirements","Teams automating compliance workflows that require regulatory context lookup"],"limitations":["Document indexing process is undocumented — unclear if it supports OCR, PDF extraction, or only structured text input","No mention of document versioning or update tracking — unclear how regulatory changes are reflected in indexed knowledge","Knowledge base retrieval accuracy depends on document quality and indexing completeness; no accuracy metrics provided","No documented support for custom document types or domain-specific knowledge beyond regulatory documents"],"requires":["Regulatory documents in supported format (PDF, text, structured data — format support unknown)","Document upload/ingestion process (API, UI, batch import — process unknown)","Search/retrieval interface for agents and users (API, UI — interface unknown)","Storage and indexing infrastructure (cloud-based on APIDNA platform)"],"input_types":["regulatory documents (PSD2 guidance, DORA requirements, GDPR regulations, etc.)","operational policies and procedures","compliance frameworks and standards","audit reports and control documentation"],"output_types":["indexed document corpus (1,204+ documents)","search results with relevance ranking","retrieved context snippets for agent decision-making","document metadata and version tracking"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_4","uri":"capability://data.processing.analysis.multi.feed.anomaly.detection.and.classification","name":"multi-feed anomaly detection and classification","description":"Monitors multiple data feeds (demonstrated with 6 concurrent feeds) for anomalies using domain-trained detection models that understand normal operational patterns and flag deviations. The DataAgent ingests streaming or batch data from multiple sources, applies learned anomaly detection heuristics, and classifies anomalies by type (fraud, operational error, data quality issue, etc.). Provides real-time alerting and anomaly summaries without manual threshold configuration.","intents":["Detect fraudulent transactions or suspicious patterns across payment feeds automatically","Identify data quality issues in upstream systems before they impact downstream processes","Monitor operational metrics (uptime, latency, error rates) for anomalous behavior","Generate anomaly alerts with classification and severity scoring for triage"],"best_for":["Fraud and risk teams monitoring payment and transaction streams for suspicious activity","Operations teams monitoring system health and data quality across multiple feeds","Financial institutions with high-volume transaction processing requiring real-time anomaly detection"],"limitations":["Anomaly detection accuracy is not documented — no false positive/negative rates provided","Detection thresholds and sensitivity are proprietary and not customizable; cannot adjust for business-specific risk tolerance","No mention of support for custom anomaly types or domain-specific patterns beyond pre-trained models","Latency of anomaly detection and alerting is undocumented; real-time capability claimed but SLA unknown"],"requires":["Data feeds from multiple sources (format/schema unknown)","Historical baseline data to establish normal operational patterns (volume/retention unknown)","Alert routing and notification infrastructure (email, webhook, SIEM integration — support unknown)","Human review process for anomaly triage and response"],"input_types":["transaction data streams (amounts, dates, parties, channels)","operational metrics (uptime, latency, error rates, throughput)","system logs and event data","historical baseline data for pattern learning"],"output_types":["anomaly alerts with classification (fraud, error, data quality, operational)","anomaly severity scores and confidence metrics","anomaly summaries with affected records and impact assessment","audit logs of anomaly detection decisions"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_5","uri":"capability://automation.workflow.multi.step.workflow.orchestration.with.state.tracking","name":"multi-step workflow orchestration with state tracking","description":"Orchestrates complex multi-step workflows (demonstrated with 7-step processes) by coordinating execution across multiple agents, systems, and decision points. The WorkflowAgent manages workflow state, handles conditional branching, manages retries and error handling, and tracks execution progress in real-time. Workflows can span transaction processing, compliance checks, reporting, and audit trail generation with full visibility into each step's status (COMPLETED, RUNNING, PENDING).","intents":["Define and execute complex multi-step processes that span multiple systems and agents","Coordinate transaction processing, compliance validation, and reporting in a single workflow","Handle conditional logic and branching based on intermediate results","Track workflow execution progress and troubleshoot failures with detailed state logs"],"best_for":["Operations teams automating complex multi-system workflows (e.g., transaction processing → reconciliation → compliance reporting → audit)","Integration teams replacing manual orchestration or workflow engines with agentic automation","Organizations with 5+ step processes requiring coordination across multiple systems"],"limitations":["Maximum workflow complexity is undocumented — 7-step example shown but no guidance on limits or performance degradation","Workflow definition format and configuration process are undocumented — unclear if workflows are defined via UI, API, or code","No mention of support for custom workflow logic or conditional branching beyond pre-trained patterns","Retry and error handling policies are undocumented; unclear how failures are handled and escalated"],"requires":["Workflow definition in supported format (format unknown — likely YAML, JSON, or visual workflow builder)","Connected systems and agents that can be orchestrated (APIs, databases, other APIDNA agents)","State management and persistence infrastructure (provided by APIDNA platform)","Error handling and escalation process (manual review for failures)"],"input_types":["workflow definitions (steps, conditions, branching logic)","input data for workflow execution (transactions, documents, metrics)","system integration schemas for connected systems"],"output_types":["workflow execution logs with step-by-step state tracking","intermediate results from each workflow step","final workflow output (reconciled records, compliance reports, audit trails)","exception and error logs for failed steps"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_6","uri":"capability://safety.moderation.immutable.audit.trail.generation.with.exception.tracking","name":"immutable audit trail generation with exception tracking","description":"Generates comprehensive audit trails for all agent actions and workflow executions, recording every decision, data transformation, and system interaction with timestamps and actor information. The AuditAgent creates immutable logs that track workflow execution, agent decisions, data changes, and exceptions with zero data loss (demonstrated with 0 exceptions in live execution). Audit trails support compliance verification, forensic analysis, and regulatory reporting.","intents":["Create immutable audit trails for all agent actions to support regulatory compliance and forensic analysis","Track all data transformations and decisions for compliance verification and exception investigation","Generate audit reports that demonstrate control effectiveness and compliance with regulatory requirements","Support incident investigation and root cause analysis with detailed execution logs"],"best_for":["Compliance and audit teams requiring detailed execution logs for regulatory verification","Organizations subject to SOC 2, GDPR, or other audit/compliance requirements","Risk and fraud teams investigating suspicious transactions or operational failures"],"limitations":["Audit trail storage and retention policies are undocumented — unclear how long logs are retained or how they scale with volume","Audit trail query and retrieval capabilities are undocumented — unclear if audit logs can be searched, filtered, or exported","No mention of audit trail encryption or access controls — unclear how sensitive audit data is protected","Audit trail immutability mechanism is undocumented — unclear if logs use blockchain, write-once storage, or other immutability guarantees"],"requires":["Audit trail storage infrastructure (provided by APIDNA platform)","Access controls and authentication for audit log retrieval","Compliance framework definitions (SOC 2, GDPR, etc.) to determine what must be logged","Audit log retention policy (duration, archival, deletion rules)"],"input_types":["all agent actions and decisions","workflow execution events","data transformations and changes","system interactions and API calls"],"output_types":["immutable audit logs with timestamps and actor information","audit trail summaries and reports","exception logs with reason codes and remediation tracking","compliance verification reports"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_7","uri":"capability://tool.use.integration.system.integration.with.schema.based.api.orchestration","name":"system integration with schema-based api orchestration","description":"Integrates with external systems (APIs, databases, legacy infrastructure) using schema-based orchestration that maps system APIs to agent capabilities. The IntegrationAgent handles API authentication, schema validation, data transformation, and error handling across heterogeneous systems. Supports REST, GraphQL, SOAP, and database connections with automatic schema discovery and validation (demonstrated with IntegrationAgent PENDING state indicating schema confirmation workflow).","intents":["Connect APIDNA agents to external APIs and systems without manual integration code","Automatically discover and validate system schemas for data mapping","Handle API authentication, rate limiting, and error handling transparently","Transform data between system schemas and agent-compatible formats"],"best_for":["Integration teams connecting APIDNA to existing enterprise systems (banks, payment processors, ERPs)","Organizations with heterogeneous system landscapes requiring multi-system orchestration","Teams automating workflows that span multiple external systems"],"limitations":["Supported API types and protocols are undocumented — REST, GraphQL, SOAP, message queues support unknown","Schema discovery and validation process is undocumented — unclear how complex or custom schemas are handled","No mention of support for proprietary or undocumented APIs — integration appears limited to documented systems","Data transformation capabilities are undocumented — unclear if complex transformations or custom mapping logic is supported","API rate limiting and throttling policies are undocumented — unclear how high-volume integrations are handled"],"requires":["External system API documentation with schema definitions","API authentication credentials (API keys, OAuth tokens, certificates)","Network connectivity to external systems","Schema mapping definitions (format and process unknown)","Error handling and retry policies"],"input_types":["system API schemas (OpenAPI, GraphQL schema, WSDL, database schema)","API authentication credentials","data to be sent to external systems"],"output_types":["data retrieved from external systems","API response data transformed to agent-compatible format","integration error logs and retry tracking","schema validation results"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_8","uri":"capability://automation.workflow.real.time.performance.monitoring.and.sla.tracking","name":"real-time performance monitoring and sla tracking","description":"Monitors agent and workflow execution performance in real-time, tracking metrics like actions per minute (3,847/min demonstrated), match accuracy (99.98%), and uptime (99.99% SLA). Provides real-time dashboards showing agent states, execution progress, and performance anomalies. Tracks SLA compliance and generates performance reports for operational visibility and capacity planning.","intents":["Monitor agent execution performance and identify bottlenecks in real-time","Track SLA compliance (99.99% uptime) and generate performance reports","Identify performance anomalies and capacity constraints before they impact operations","Optimize workflow execution by analyzing performance metrics and execution patterns"],"best_for":["Operations teams monitoring production agent deployments","SRE teams tracking uptime and performance SLAs","Capacity planning teams analyzing throughput and resource utilization"],"limitations":["Performance metrics are limited to high-level aggregates (actions/min, match accuracy, uptime) — no per-agent or per-workflow metrics documented","Latency metrics are not provided — unclear if agents meet real-time requirements for time-sensitive workflows","Performance dashboard and alerting capabilities are undocumented — unclear what metrics are tracked and how alerts are configured","No mention of performance tuning or optimization recommendations based on metrics"],"requires":["Access to APIDNA monitoring dashboard (UI, API — access method unknown)","Performance baseline definitions for SLA tracking","Alert routing and notification infrastructure"],"input_types":["agent execution events and metrics","workflow execution logs","system resource utilization data"],"output_types":["real-time performance dashboards","performance metrics (actions/min, accuracy, uptime)","SLA compliance reports","performance anomaly alerts"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-apidna__cap_9","uri":"capability://planning.reasoning.exception.handling.and.human.in.the.loop.escalation","name":"exception handling and human-in-the-loop escalation","description":"Automatically flags exceptions and anomalies that require human review, routing them to appropriate teams with context and recommended actions. Exceptions include unmatched transactions, compliance violations, anomalies, and workflow failures. The system maintains exception tracking with status (open, in-review, resolved) and supports human decision-making on exceptions without requiring agent retraining. Exceptions are logged in audit trails for compliance verification.","intents":["Flag transactions that cannot be automatically reconciled for manual review","Route compliance violations and anomalies to appropriate teams with context","Track exception resolution and maintain audit trails for compliance verification","Enable human decision-making on edge cases without requiring agent retraining"],"best_for":["Operations teams managing exceptions from automated reconciliation and compliance workflows","Compliance teams reviewing flagged violations and anomalies","Organizations requiring human oversight of automated decisions for risk management"],"limitations":["Exception routing and escalation rules are undocumented — unclear how exceptions are routed to appropriate teams","Exception resolution workflow is undocumented — unclear how human decisions are recorded and fed back to agents","No mention of support for exception pattern learning — unclear if agent improves over time based on human decisions","Exception SLA and response time tracking are undocumented"],"requires":["Exception routing configuration (team assignments, escalation rules)","Human review process and workflow (approval, decision recording)","Exception tracking and status management system","Audit trail infrastructure for exception logging"],"input_types":["exceptions flagged by agents (unmatched transactions, compliance violations, anomalies, workflow failures)","exception context (affected records, reason codes, recommended actions)","human decisions and resolutions"],"output_types":["exception alerts routed to appropriate teams","exception tracking with status and resolution","exception summaries and trend analysis","audit logs of exception handling and human decisions"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Access to APIDNA platform (agent.apidna.io)","Domain context definition (workflows, rules, operational requirements) — format and process unknown","Connected systems with documented APIs or schema definitions","Pricing tier with agent deployment capability (pricing model unknown)","Transaction data from multiple sources in documented format (format unknown)","Schema definitions for each transaction source (REST API, database, file format)","Access to APIDNA ReconciliationAgent deployment","Human review process for flagged exceptions (agent does not auto-resolve)","System integration schemas and API documentation","Workflow definitions (format and process unknown)"],"failure_modes":["Vertical training limits cross-domain reasoning — agents cannot generalize to novel business domains outside their training scope","No documented ability to customize agent behavior beyond pre-trained workflows; custom business logic appears unsupported","Agent accuracy is 99.98% — 0.02% error rate means exceptions still require human review at scale","Deployment time claimed as <48h but actual configuration process and knowledge input requirements are undocumented","99.98% accuracy means 0.02% error rate — at 48,203 transactions, ~10 transactions may be incorrectly matched and require manual verification","No documentation of latency per transaction or throughput limits; current load shown as 3,847 actions/min but scaling behavior unknown","Matching logic is proprietary and vertically trained — cannot customize matching rules or add domain-specific heuristics","No mention of support for custom transaction schemas or non-standard data formats","Configuration process and interface are undocumented — unclear if configuration is UI-based, API-based, or code-based","Actual deployment time depends on system integration complexity — <48h claim may not apply to complex multi-system integrations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.32,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.370Z","last_scraped_at":"2026-05-03T14:00:10.321Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=apidna","compare_url":"https://unfragile.ai/compare?artifact=apidna"}},"signature":"yncHLc7HECio4zsUB+1//ZGaF2xOQUQSyQDaObncNS+lfd6CkV8wtYXF53Hc7DNALRtx4qKJE2owfujeorw3Cg==","signedAt":"2026-06-20T22:35:44.363Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/apidna","artifact":"https://unfragile.ai/apidna","verify":"https://unfragile.ai/api/v1/verify?slug=apidna","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}