query_sqlExecute a read-only SQL query against the target connection. ONLY SELECT / WITH / EXPLAIN permitted. Write dialect-appropriate SQL for the connection's engine — use PostgreSQL syntax for postgres connections (`SELECT NOW()`, `LIMIT`, `ILIKE`), T-SQL for mssql (`SELECT GETDATE(...3 params

Execute a read-only SQL query against the target connection. ONLY SELECT / WITH / EXPLAIN permitted. Write dialect-appropriate SQL for the connection's engine — use PostgreSQL syntax for postgres connections (`SELECT NOW()`, `LIMIT`, `ILIKE`), T-SQL for mssql (`SELECT GETDATE(...

Parameters* required

limitnumber

Max rows to return (default 100, max 1000)

querystring

SQL SELECT query to execute

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

describe_schemaDiscover the full database schema: tables, columns, types, primary keys, foreign keys, and indexes. Results cached 1 hour. Call with refresh=true after schema changes.2 params

Discover the full database schema: tables, columns, types, primary keys, foreign keys, and indexes. Results cached 1 hour. Call with refresh=true after schema changes.

Parameters* required

refreshboolean

Force live introspection, bypassing cache

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

analyze_tableQUICK statistical snapshot for ONE table — row count, null rates, cardinality, numeric min/max/avg, date ranges. Optionally drill into a specific column. Use this for a fast at-a-glance read. Use `data_profile` instead when the user wants a FULL quality report including PII de...3 params

QUICK statistical snapshot for ONE table — row count, null rates, cardinality, numeric min/max/avg, date ranges. Optionally drill into a specific column. Use this for a fast at-a-glance read. Use `data_profile` instead when the user wants a FULL quality report including PII de...

Parameters* required

tablestring

Table name to analyze

columnstring

Specific column to deep-analyze

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

detect_anomaliesScan a table for unusual patterns: volume drops/spikes, data gaps, value concentration, high null rates, stale data. Severity-ranked alerts. Tables > 100k rows use a sampled path (~5%) — when a finding has `sampled:true`, surface it to the user with a hedge like 'based on a ~5...3 params

Scan a table for unusual patterns: volume drops/spikes, data gaps, value concentration, high null rates, stale data. Severity-ranked alerts. Tables > 100k rows use a sampled path (~5%) — when a finding has `sampled:true`, surface it to the user with a hedge like 'based on a ~5...

Parameters* required

tablestring

Table to scan for anomalies

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

date_columnstring

Date column for trend analysis (auto-detected if omitted)

suggest_queriesGenerate schema-aware query suggestions with ready-to-run SQL. Great for exploring unfamiliar databases or finding useful queries.2 params

Generate schema-aware query suggestions with ready-to-run SQL. Great for exploring unfamiliar databases or finding useful queries.

Parameters* required

contextstring

Topic or goal to focus suggestions

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

test_connectionPing a connection (SELECT 1) and return server version + latency. Fast way to confirm credentials and network path without running describe_schema.1 params

Ping a connection (SELECT 1) and return server version + latency. Fast way to confirm credentials and network path without running describe_schema.

Parameters* required

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

list_connectionsList every database connection registered for your tenant: name, id, dbType (postgres / mysql / mssql), createdAt. Flags duplicate names — only the first-added connection of a duplicate name is reachable by name. Returns nothing sensitive (no DSN, no credentials).

List every database connection registered for your tenant: name, id, dbType (postgres / mysql / mssql), createdAt. Flags duplicate names — only the first-added connection of a duplicate name is reachable by name. Returns nothing sensitive (no DSN, no credentials).

No parameter schema in public metadata yet.

quotaCheck current API usage, daily limit, plan name, and upgrade options.

Check current API usage, daily limit, plan name, and upgrade options.

No parameter schema in public metadata yet.

issue_api_keyIssue a fresh ta_data_* API key for your current tenant. Useful for pasting into /add-database or configuring a separate integration. The new key is tied to your existing plan tier. Rate-limited to 5 issuances per tenant per day.

Issue a fresh ta_data_* API key for your current tenant. Useful for pasting into /add-database or configuring a separate integration. The new key is tied to your existing plan tier. Rate-limited to 5 issuances per tenant per day.

No parameter schema in public metadata yet.

explain_queryAnalyze a SQL query's execution plan and return plain-English performance recommendations. Runs EXPLAIN ANALYZE (Postgres) or EXPLAIN FORMAT=JSON (MySQL). [BUILD tier]2 params

Analyze a SQL query's execution plan and return plain-English performance recommendations. Runs EXPLAIN ANALYZE (Postgres) or EXPLAIN FORMAT=JSON (MySQL). [BUILD tier]

Parameters* required

sqlstring

The SELECT query to analyze

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

optimize_querySuggest a rewritten, optimized version of a SQL query with explanations. Identifies sequential scans, missing indexes, sort spills, join inefficiencies, and suggests index DDL. [BUILD tier]2 params

Suggest a rewritten, optimized version of a SQL query with explanations. Identifies sequential scans, missing indexes, sort spills, join inefficiencies, and suggests index DDL. [BUILD tier]

Parameters* required

querystring

SQL query to optimize

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

data_profileFULL data quality + compliance report for a table: per-column stats PLUS a 0-100 health score, type-gated PII detection (email / phone / SSN / etc.), and insight warnings. Slower than `analyze_table` but returns everything needed to audit a table for ownership / compliance / o...2 params

FULL data quality + compliance report for a table: per-column stats PLUS a 0-100 health score, type-gated PII detection (email / phone / SSN / etc.), and insight warnings. Slower than `analyze_table` but returns everything needed to audit a table for ownership / compliance / o...

Parameters* required

tablestring

Table to profile

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

query_historyReturn recent queries executed through ThinAir with timing, row counts, and status. [BUILD tier]2 params

Return recent queries executed through ThinAir with timing, row counts, and status. [BUILD tier]

Parameters* required

limitnumber

Number of recent queries (default 20, max 100)

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

saved_queriesManage your personal library of reusable SELECT queries. action=save stores a query by name; action=run executes a saved query; action=list returns all your saved queries; action=delete removes one. [BUILD tier]8 params

Manage your personal library of reusable SELECT queries. action=save stores a query by name; action=run executes a saved query; action=list returns all your saved queries; action=delete removes one. [BUILD tier]

Parameters* required

idstring

Query ID (alternative to name for run/delete)

sqlstring

SQL to store (required for action=save)

tagstring

Filter by tag (action=list)

namestring

Query name (save/run/delete)

tagsarray

Tags (action=save)

actionstring

save | run | list | deleteone of save · run · list · delete

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

descriptionstring

Freeform description (action=save)

generate_migrationGenerate dialect-correct ALTER TABLE migration SQL + rollback from a plain-English intent. Output uses the connection's exact dialect (ALTER TABLE for all three, plus pg-specific `USING` casts / mssql-specific `sp_rename` / mysql-specific `MODIFY COLUMN`). Never executes. Chec...2 params

Generate dialect-correct ALTER TABLE migration SQL + rollback from a plain-English intent. Output uses the connection's exact dialect (ALTER TABLE for all three, plus pg-specific `USING` casts / mssql-specific `sp_rename` / mysql-specific `MODIFY COLUMN`). Never executes. Chec...

Parameters* required

intentstring

Plain English: 'add soft delete to users', 'add index on trips.driver_id'

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

generate_seed_dataGenerate realistic, schema-aware INSERT statements for development and testing. Respects types, constraints, and FK relationships. Never executes. [BUILD tier]4 params

Generate realistic, schema-aware INSERT statements for development and testing. Respects types, constraints, and FK relationships. Never executes. [BUILD tier]

Parameters* required

tablestring

Table to generate seed data for

formatstring

Output format (default sql)one of sql · csv

row_countnumber

Number of rows (default 100, max 1000)

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

show_locksList active sessions + blocking locks. Uses the dialect's own system view — `pg_stat_activity` on postgres, `information_schema.processlist` on mysql, `sys.dm_exec_requests` joined with `sys.dm_tran_locks` on mssql. No dialect arg needed — inferred from the connection. **Requi...1 params

List active sessions + blocking locks. Uses the dialect's own system view — `pg_stat_activity` on postgres, `information_schema.processlist` on mysql, `sys.dm_exec_requests` joined with `sys.dm_tran_locks` on mssql. No dialect arg needed — inferred from the connection. **Requi...

Parameters* required

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

pii_scanSweep string columns across tables for common PII patterns (email, SSN, credit card, phone, JWT, bearer tokens). Heuristic-only — not a compliance guarantee. [BUILD tier]3 params

Sweep string columns across tables for common PII patterns (email, SSN, credit card, phone, JWT, bearer tokens). Heuristic-only — not a compliance guarantee. [BUILD tier]

Parameters* required

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

max_tablesnumber

Max tables to sample (default 25, cap 50)

sample_rowsnumber

Rows sampled per table (default 20, cap 100)

watch_tableMonitor a table's row count and latest record. Compares to previous snapshot to show changes. Built-in scheduler. [ARCHITECT tier]4 params

Monitor a table's row count and latest record. Compares to previous snapshot to show changes. Built-in scheduler. [ARCHITECT tier]

Parameters* required

tablestring

Table to monitor

columnstring

Date column to track latest

conditionstring

What to watch: 'new rows', 'row count drops'

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

find_n_plus_oneDetect N+1 query patterns from recent query history. Fingerprints queries and flags repeated patterns. [ARCHITECT tier]2 params

Detect N+1 query patterns from recent query history. Fingerprints queries and flags repeated patterns. [ARCHITECT tier]

Parameters* required

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

min_executionsnumber

Minimum executions to flag (default 5)

query_firewallManage per-connection SQL rules: block dangerous patterns, require WHERE on large tables, log PII access. [ARCHITECT tier]7 params

Manage per-connection SQL rules: block dangerous patterns, require WHERE on large tables, log PII access. [ARCHITECT tier]

Parameters* required

sqlstring

SQL to test against rules

actionstring

What to doone of add_rule · remove_rule · list_rules · test_query

messagestring

Message shown when rule triggers

patternstring

Regex pattern to match

rule_namestring

Rule name

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

block_actionstring

Action when matched (default block)one of block · warn · log

impact_analysisAnalyze the blast radius of a proposed schema change: FK dependencies, affected views, row count, risk score. [ARCHITECT tier]2 params

Analyze the blast radius of a proposed schema change: FK dependencies, affected views, row count, risk score. [ARCHITECT tier]

Parameters* required

intentstring

Describe the change: 'rename customer_id to account_id', 'drop column X'

connectionstring

Target connection name from this tenant's inventory. Call `list_connections` to see every name + dialect, then match semantically to the user's intent (e.g. 'analytics' → a connection named `*-analytics-*`; 'prod' → a connection with `prod-` prefix). If the user didn't specify, use the tenant's default (first added). Do not invent names — resolve from `list_connections` output.

cross_db_query⚠️ SQL MUST BE VALID IN EVERY DIALECT YOU TARGET — stick to ANSI-ish SELECT syntax when mixing pg/mysql/mssql. `SELECT TOP 10` (mssql) or `LIMIT` (others) will fail on the wrong side. Run the same query across 2-4 connections in parallel; returns per-connection rows + errors f...2 params

⚠️ SQL MUST BE VALID IN EVERY DIALECT YOU TARGET — stick to ANSI-ish SELECT syntax when mixing pg/mysql/mssql. `SELECT TOP 10` (mssql) or `LIMIT` (others) will fail on the wrong side. Run the same query across 2-4 connections in parallel; returns per-connection rows + errors f...

Parameters* required

sqlstring

SQL query to run on each connection. Must be valid in every dialect targeted — prefer ANSI SELECT syntax when mixing dialects.

connectionsarray

Array of 2-4 connection NAMES (not IDs) from list_connections output. Examples: ['mssql-reporting-us', 'mssql-reporting-eu'] for regional compare, ['prod-postgres-fleet', 'prod-mysql-app'] for cross-dialect sync check.

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TunnelMind Data API

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