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Zorqelio — Data Reliability for AI Agents

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Continuous data quality policies, monitoring, schema validation, and quality-aware agent readiness.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.1/5.0

Scored across 24 tools

Disambiguation4/5

Tools are grouped by clear domain prefixes (contract_, data_, json_, monitor_, quality_policy_, workspace_) and each action within a group is distinct (create/get/publish/compare/history/validate). The one genuinely crowded area is validation: data_quality_check, json_schema_validate, contract_validate, and quality_policy_evaluate all validate JSON, but the descriptions separate them cleanly (inline rules vs. supplied schema vs. stored contract vs. saved policy version). Minor residual risk that an agent picks data_quality_check when it wants reusable policy evaluation.

Naming Consistency4/5

Nearly all names follow a consistent resource_action snake_case pattern (contract_create, monitor_status, workspace_token_rotate), making grouping predictable. The only deviations are the conversion-style json_to_csv and the slightly longer three-part names (data_quality_check, quality_policy_evaluate), which are still readable and follow the same noun-first ordering.

Tool Count4/5

24 tools is at the upper end of comfortable, but the surface spans five coherent sub-domains (contracts, JSON/data utilities, monitors, quality policies, workspace) so each tool maps to a real operation rather than duplicating another. There is little obvious redundancy, though the set is large enough that an agent must first classify intent before choosing a tool.

Completeness3/5

Contracts (create/get/publish/compare/history/validate), monitors (create/status/history/revoke), and workspaces (create/list/revoke/rotate) cover their lifecycles well, but quality policies are missing a create/publish operation even though get/evaluate/history assume a saved policy version exists — a dead end for agents. Contracts also lack any revoke/delete path, and the JSON utilities convert to CSV but not back.

Available Tools

24 tools
contract_compareBInspect

Compare two immutable versions of a private data contract and report added, removed, and changed schema paths. Useful for reviewing upstream API contract changes before publishing or upgrading an agent.

Inputs: toVersion (required), contractId (required), accessToken (required), fromVersion (required), +1 more.

contract_createCInspect

Create a private, reusable, versioned data contract for an AI-agent workflow. Returns a one-time access token; store it securely because it cannot be retrieved later.

Inputs: name (required), schema (required), workspaceToken (required), description, +1 more.

contract_getCInspect

Retrieve metadata and a published schema version for a private data contract. Requires its access token.

Inputs: contractId (required), accessToken (required), version, operationId.

contract_historyBInspect

Retrieve recent validation decisions and failure evidence for a private contract. Stores only validation metadata, not customer payloads; the latest 100 events per contract are retained.

Inputs: contractId (required), accessToken (required), limit, operationId.

contract_publishBInspect

Publish a new immutable version of an existing private data contract. Older versions remain available for reproducible validation.

Inputs: schema (required), contractId (required), accessToken (required), operationId.

contract_validateBInspect

Validate incoming JSON against a stored, versioned data contract. Detects missing, changed, or invalid upstream data before an AI agent uses it. Returns machine-readable pass/fail and evidence.

Inputs: json (required), contractId (required), accessToken (required), version, +1 more.

data_normalizeBInspect

Normalize inconsistent JSON records into a predictable structure using explicit source-to-target field mappings and defaults. Deterministic; does not call an AI model.

Inputs: json (required), mapping, defaults, operationId, +2 more.

data_quality_checkBInspect

Run deterministic data-quality rules against one JSON object or up to 10,000 records. Checks required/non-empty fields, types, numeric ranges, allowed values, email/URL formats, and uniqueness. Returns a weighted quality score and actionable row-level issues.

Inputs: json (required), rules (required), maxIssues, operationId, +1 more.

data_quality_profileBInspect

Profile a JSON dataset and report field completeness, nulls, empty values, distinct counts, type distributions, and duplicate rows. Deterministic and local to the request.

Inputs: json (required), operationId, workspaceToken.

json_diffCInspect

Compare two JSON documents and return deterministic JSON Pointer paths that were added, removed, or changed.

Inputs: after (required), before (required), maxChanges, operationId, +1 more.

json_formatCInspect

Pretty-print and normalize JSON. Accepts JSON text and returns formatted JSON plus basic statistics.

Inputs: json (required), operationId, workspaceToken.

json_schema_validateCInspect

Validate a JSON document against a supplied JSON Schema and return actionable validation errors.

Inputs: json (required), schema (required), operationId, workspaceToken.

json_to_csvBInspect

Convert a JSON array of flat objects into CSV with escaped cells and a stable union of columns.

Inputs: json (required), delimiter, operationId, workspaceToken.

monitor_createBInspect

Create a private push-monitor endpoint connected to an existing contract. Send each upstream API response to the returned HTTPS endpoint; Zorqelio validates it, records ALLOW/BLOCK evidence, and never stores the submitted payload. The monitor token is shown once.

Inputs: label (required), contractId (required), accessToken (required), operationId, +1 more.

monitor_historyBInspect

Retrieve the recent event timeline for a private monitor, including creation, stale transitions, recovery, blocked checks, and revocation. Requires its monitor ID and one-time monitor token. Event records never contain customer payloads.

Inputs: monitorId (required), monitorToken (required), limit, operationId.

monitor_revokeBInspect

Immediately revoke a private push monitor token. Future submissions to its HTTP endpoint are rejected. Requires its monitor ID and monitor token.

Inputs: monitorId (required), monitorToken (required), operationId.

monitor_statusCInspect

Retrieve health and usage counters for a private push monitor. Requires its monitor ID and one-time monitor token.

Inputs: monitorId (required), monitorToken (required), operationId.

quality_policy_evaluateBInspect

Evaluate one explicit saved policy version, persist sanitized results and return ALLOW, WARN or BLOCK. Reuse operationId for an exact retry.

Inputs: json (required), version (required), policyId (required), workspaceToken (required), +1 more.

quality_policy_getC
Read-only
Inspect

Retrieve a saved private data-quality policy version.

Inputs: policyId (required), workspaceToken (required), version, operationId.

quality_policy_historyC
Read-only
Inspect

Read recent private evaluations of one saved quality policy.

Inputs: policyId (required), workspaceToken (required), limit, cursor, +1 more.

workspace_createBInspect

Create a private customer workspace. Returns a workspace API token once; save it securely.

Inputs: name (required), operationId.

workspace_listBInspect

List contracts and aggregate usage belonging only to a private workspace. Requires its workspace API token.

Inputs: workspaceToken (required), limit, operationId.

workspace_revokeBInspect

Permanently revoke a workspace API token and disable workspace-level operations. This action cannot be undone; existing individual contract and monitor tokens are not revoked.

Inputs: workspaceToken (required), operationId.

workspace_token_rotateAInspect

Rotate a workspace API token. The current token is required; the replacement is shown once and the old token stops working immediately.

Inputs: workspaceToken (required), operationId.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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