← dVeracityCONTENT HISTORY

Update to dVeracity

Snapshot Oct 24, 2026 · 13:23 UTC · version 2.0.4

WHAT CHANGED

Product listing or positioning changed

Full description — Now says: answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's...

Observed in the public listing; claims come from the publisher.

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Full description

Before

Oct 7, 2026 · 18:02 UTC

are free of charge. Natural-language queries and validation are metered per call in credits, with machine-readable HTTP 402 payment semantics: when an account runs out, the tool tells the agent to ask its human operator to top up, and ne...

After

Oct 24, 2026 · 13:23 UTC

answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's dVeracity account; when a tool cannot run for the current account it says so in a mach...

Long description

Before

Oct 7, 2026 · 18:02 UTC

are free of charge. Natural-language queries and validation are metered per call in credits, with machine-readable HTTP 402 payment semantics: when an account runs out, the tool tells the agent to ask its human operator to top up, and ne...

After

Oct 24, 2026 · 13:23 UTC

answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's dVeracity account; when a tool cannot run for the current account it says so in a mach...

Is template instance

Before

Oct 7, 2026 · 18:02 UTC

Not present

After

Oct 24, 2026 · 13:23 UTC

false

App-6ab0b9e4cd088191a8c953f9d6bd50fd

Before

Oct 7, 2026 · 18:02 UTC

{"id":"asdk_app_6ab0b9e4cd088191a8c953f9d6bd50fd","required":true}

After

Oct 24, 2026 · 13:23 UTC

Not present

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Full technical diff · 12 changed fields

added /is_template_instance

BEFORE
Field was absent
AFTER
false

removed /release/app_manifest/apps/app-6ab0b9e4cd088191a8c953f9d6bd50fd

BEFORE
{
  "id": "asdk_app_6ab0b9e4cd088191a8c953f9d6bd50fd",
  "required": true
}
AFTER
Field is absent

added /release/app_manifest/apps/dVeracity

BEFORE
Field was absent
AFTER
{
  "id": "asdk_app_6ab0b9e4cd088191a8c953f9d6bd50fd",
  "required": true
}

changed /release/description

BEFORE
"Check data against the standards, canonical models and policies it claims to conform to, and get back a graded, machine-readable result that says what was checked, what was not, and why.\n\ndVeracity is a verification engine for regulated data. An agent can read a canonical data model at design time (entities, sectors, semantic codes and policy guardrails), validate a payload against a named standard before submitting it, look up approved regulatory compliance policies with their rules and provenance, and query verified datasets in natural language. Every result states its model version and the checks it ran, so it can be handed to a reviewer rather than pasted into a chat.\n\nThe first standard onboarded is Open Footprint (The Open Group), with O-DEF semantic codes, PACT product-footprint validation and verified emissions and methane datasets. The engine is domain-neutral; further standards are onboarded through the same path.\n\nEighteen tools, all read-only. Model, sector, semantic-code and standards-catalogue tools are free of charge. Natural-language queries and validation are metered per call in credits, with machine-readable HTTP 402 payment semantics: when an account runs out, the tool tells the agent to ask its human operator to top up, and never retries. Compliance-policy tools are available on paid plans.\n\nAuthentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents.\n\nBuilt for compliance, ESG and reporting teams, standards implementers, and anyone whose data has to be checked before it is trusted."
AFTER
"Check data against the standards, canonical models and policies it claims to conform to, and get back a graded, machine-readable result that says what was checked, what was not, and why.\n\ndVeracity is a verification engine for regulated data. An agent can read a canonical data model at design time (entities, sectors, semantic codes and policy guardrails), validate a payload against a named standard before submitting it, look up approved regulatory compliance policies with their rules and provenance, and query verified datasets in natural language. Every result states its model version and the checks it ran, so it can be handed to a reviewer rather than pasted into a chat.\n\nThe first standard onboarded is Open Footprint (The Open Group), with O-DEF semantic codes, PACT product-footprint validation and verified emissions and methane datasets. The engine is domain-neutral; further standards are onboarded through the same path.\n\nEighteen tools, all read-only. Model, sector, semantic-code and standards-catalogue tools answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's dVeracity account; when a tool cannot run for the current account it says so in a machine-readable way and tells the agent to ask its human operator, and never retries on its own.\n\nAuthentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents.\n\nBuilt for compliance, ESG and reporting teams, standards implementers, and anyone whose data has to be checked before it is trusted."

changed /release/id

BEFORE
"pluginrel_9439ece071f481919a72b5bd82dbfa9d"
AFTER
"pluginrel_6b6a5218d3908191982d44213fa959c3"

changed /release/interface/composer_icon_dark_url

BEFORE
"https://files.openai.com/content?id=file_000000009fa0820e83a8e0fc3038df87"
AFTER
"https://files.openai.com/content?id=file_0000000000cc82309421652ba9bf8dc4"

changed /release/interface/composer_icon_url

BEFORE
"https://files.openai.com/content?id=file_00000000bb1c820e89d1d36797b340a4"
AFTER
"https://files.openai.com/content?id=file_0000000004688230b158e99701fcb053"

changed /release/interface/logo_url

BEFORE
"https://files.openai.com/content?id=file_000000006ddc820e88192ff9a43b1c8b"
AFTER
"https://files.openai.com/content?id=file_00000000540881f99ba74b040de1f4d8"

changed /release/interface/logo_url_dark

BEFORE
"https://files.openai.com/content?id=file_000000002ca8820ea63b52b1165fcf40"
AFTER
"https://files.openai.com/content?id=file_000000003c2081f59b17e052e179a8c6"

changed /release/interface/long_description

BEFORE
"Check data against the standards, canonical models and policies it claims to conform to, and get back a graded, machine-readable result that says what was checked, what was not, and why.\n\ndVeracity is a verification engine for regulated data. An agent can read a canonical data model at design time (entities, sectors, semantic codes and policy guardrails), validate a payload against a named standard before submitting it, look up approved regulatory compliance policies with their rules and provenance, and query verified datasets in natural language. Every result states its model version and the checks it ran, so it can be handed to a reviewer rather than pasted into a chat.\n\nThe first standard onboarded is Open Footprint (The Open Group), with O-DEF semantic codes, PACT product-footprint validation and verified emissions and methane datasets. The engine is domain-neutral; further standards are onboarded through the same path.\n\nEighteen tools, all read-only. Model, sector, semantic-code and standards-catalogue tools are free of charge. Natural-language queries and validation are metered per call in credits, with machine-readable HTTP 402 payment semantics: when an account runs out, the tool tells the agent to ask its human operator to top up, and never retries. Compliance-policy tools are available on paid plans.\n\nAuthentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents.\n\nBuilt for compliance, ESG and reporting teams, standards implementers, and anyone whose data has to be checked before it is trusted."
AFTER
"Check data against the standards, canonical models and policies it claims to conform to, and get back a graded, machine-readable result that says what was checked, what was not, and why.\n\ndVeracity is a verification engine for regulated data. An agent can read a canonical data model at design time (entities, sectors, semantic codes and policy guardrails), validate a payload against a named standard before submitting it, look up approved regulatory compliance policies with their rules and provenance, and query verified datasets in natural language. Every result states its model version and the checks it ran, so it can be handed to a reviewer rather than pasted into a chat.\n\nThe first standard onboarded is Open Footprint (The Open Group), with O-DEF semantic codes, PACT product-footprint validation and verified emissions and methane datasets. The engine is domain-neutral; further standards are onboarded through the same path.\n\nEighteen tools, all read-only. Model, sector, semantic-code and standards-catalogue tools answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's dVeracity account; when a tool cannot run for the current account it says so in a machine-readable way and tells the agent to ask its human operator, and never retries on its own.\n\nAuthentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents.\n\nBuilt for compliance, ESG and reporting teams, standards implementers, and anyone whose data has to be checked before it is trusted."

changed /release/mcp_servers

BEFORE
[]
AFTER
[
  {
    "key": "dVeracity",
    "metadata": {
      "url": "https://api.dveracity.com/mcp"
    }
  }
]

changed /release/version

BEFORE
"2.0.2"
AFTER
"2.0.4"
Full snapshot data
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  "connector_id": "asdk_app_6ab0b9e4cd088191a8c953f9d6bd50fd",
  "created_at": "2026-09-21T05:00:21.434824Z",
  "discoverability": "LISTED",
  "id": "plugin_asdk_app_6ab0b9e4cd088191a8c953f9d6bd50fd",
  "is_template": false,
  "is_template_instance": false,
  "name": "app-6ab0b9e4cd088191a8c953f9d6bd50fd",
  "release": {
    "app_ids": [
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    "app_manifest": {
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          "required": true
        }
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    "app_templates": [],
    "description": "Check data against the standards, canonical models and policies it claims to conform to, and get back a graded, machine-readable result that says what was checked, what was not, and why.\n\ndVeracity is a verification engine for regulated data. An agent can read a canonical data model at design time (entities, sectors, semantic codes and policy guardrails), validate a payload against a named standard before submitting it, look up approved regulatory compliance policies with their rules and provenance, and query verified datasets in natural language. Every result states its model version and the checks it ran, so it can be handed to a reviewer rather than pasted into a chat.\n\nThe first standard onboarded is Open Footprint (The Open Group), with O-DEF semantic codes, PACT product-footprint validation and verified emissions and methane datasets. The engine is domain-neutral; further standards are onboarded through the same path.\n\nEighteen tools, all read-only. Model, sector, semantic-code and standards-catalogue tools answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's dVeracity account; when a tool cannot run for the current account it says so in a machine-readable way and tells the agent to ask its human operator, and never retries on its own.\n\nAuthentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents.\n\nBuilt for compliance, ESG and reporting teams, standards implementers, and anyone whose data has to be checked before it is trusted.",
    "display_name": "dVeracity",
    "id": "pluginrel_6b6a5218d3908191982d44213fa959c3",
    "interface": {
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      "capabilities": [],
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      "composer_icon_url": "https://files.openai.com/content?id=file_0000000004688230b158e99701fcb053",
      "default_prompt": "List the Open Footprint model domains and tell me which sectors have published guardrails",
      "default_prompts": [
        "List the Open Footprint model domains and tell me which sectors have published guardrails"
      ],
      "developer_name": "dVeracity",
      "logo_url": "https://files.openai.com/content?id=file_00000000540881f99ba74b040de1f4d8",
      "logo_url_dark": "https://files.openai.com/content?id=file_000000003c2081f59b17e052e179a8c6",
      "long_description": "Check data against the standards, canonical models and policies it claims to conform to, and get back a graded, machine-readable result that says what was checked, what was not, and why.\n\ndVeracity is a verification engine for regulated data. An agent can read a canonical data model at design time (entities, sectors, semantic codes and policy guardrails), validate a payload against a named standard before submitting it, look up approved regulatory compliance policies with their rules and provenance, and query verified datasets in natural language. Every result states its model version and the checks it ran, so it can be handed to a reviewer rather than pasted into a chat.\n\nThe first standard onboarded is Open Footprint (The Open Group), with O-DEF semantic codes, PACT product-footprint validation and verified emissions and methane datasets. The engine is domain-neutral; further standards are onboarded through the same path.\n\nEighteen tools, all read-only. Model, sector, semantic-code and standards-catalogue tools answer from a version-controlled snapshot of the standard. Natural-language queries, validation and compliance-policy lookups run against the caller's dVeracity account; when a tool cannot run for the current account it says so in a machine-readable way and tells the agent to ask its human operator, and never retries on its own.\n\nAuthentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents.\n\nBuilt for compliance, ESG and reporting teams, standards implementers, and anyone whose data has to be checked before it is trusted.",
      "plugin_category_id": "business & operations",
      "privacy_policy_url": "https://dveracity.com/privacy",
      "screenshot_urls": [],
      "short_description": "Verify data against standards",
      "terms_of_service_url": "https://dveracity.com/terms",
      "website_url": "https://dveracity.com"
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    "mcp_servers": [
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    "onboarding_skill_name": null,
    "requires_local_executor": false,
    "skills": [],
    "version": "2.0.4"
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  "scope": "GLOBAL",
  "share_url": "https://chatgpt.com/plugins/plugin_asdk_app_6ab0b9e4cd088191a8c953f9d6bd50fd?open_in_app",
  "status": "ENABLED"
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SHA-256 of public snapshot: bc2c1e40bb5847749fa7878749cf328eace5efe2c43095d50abc24681663f27b