All Services

Packages and serializes an agent's current execution state, completed steps, pending steps, blockers, and artifacts into a signed, verifiable handoff capsule for continuation or delegation.

Analyzes a caller-supplied dependency graph to compute blast radius, weighted exposure, and criticality scores, then decides whether to allow or block an operation based on failure-cost thresholds and node criticality limits.

Audits a batch of settlement ledger entries for status, receipt presence, duplicate IDs, and settlement integrity, returning a per-entry breakdown and overall audit decision.

Validates and enforces allowed state transitions for agent tasks, returning a decision (allow/deny) with the set of valid next states from a given current state.

Compares two API schema versions (before and after) and detects breaking changes, returning a verdict on whether the schema drift is safe or breaking.

Analyzes a GitHub issue URL to score its bounty readiness and return intelligence about funding, complexity, and claimability.

Audits a list of MCP tool declarations for security risks, side-effect potential, annotation conflicts, and allowlist violations, returning severity-graded findings and a risk score.

Generates a signed, SHA256-hashed agent delegation contract specifying objective, budget, deliverables, constraints, and acceptance rules for autonomous agent task assignment.

Acts as a gating layer for autonomous agent tool calls, enforcing spend controls, idempotency, retry planning, and decision routing before an agent action executes.

Analyzes a bounty URL for payment viability signals and returns a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL or text to signal whether the bounty is legitimate and payable before a developer invests build time.

Analyzes a bounty URL and returns signals indicating whether the bounty is funded, open, and payable before a developer invests build time.

Analyzes a bounty URL and returns a GO/NO-GO verdict with evidence signals indicating whether the bounty is funded, open, and payable before a developer invests build time.

Fetches a web page by URL and returns its content as clean Markdown text, including title and HTTP status.

Analyzes a bounty URL and returns a GO/NO-GO verdict with signals indicating whether the bounty is funded, open, and payable before a developer invests build time.

Analyzes a bounty URL for evidence signals (funding language, closed status, identity friction) and returns a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL and returns signal indicators (funding language, closed status, friction barriers) plus a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL and returns signals indicating whether the bounty is likely to pay out, delivering a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL and returns a GO/NO-GO verdict with signals indicating whether the bounty is real, funded, and payable before a developer invests build time.

Computes adjacent row-to-row changes and a Base-100 index series for brand mention inventory data (mention_count, source_count) supplied by the caller, returning two analytical reports for up to 200 rows.

Computes adjacent row-over-row changes and a date-by-category pivot table for supplied brand mention inventory records (mention_count, source_count), returning two analytical reports for up to 200 rows.

Computes adjacent row-to-row changes and an equal-width histogram for brand mention inventory data (mention_count, source_count) supplied by the caller.

Analyzes brand mention inventory data by computing adjacent row-to-row changes and flagging IQR-based outliers for mention_count or source_count fields across up to 200 rows.

Runs two local analytical reports on brand mention inventory data: adjacent row change detection and keyed dataset comparison, covering up to 200 rows.

Generates two analytical reports from supplied brand mention data: a base-100 indexed time series and a date-by-category pivot table, for up to 200 rows.

Computes a Base-100 indexed time series and an equal-width histogram for brand mention inventory data (mention_count or source_count) supplied by the caller, using local analytical engines with no external lookups.

Computes a base-100 indexed time series and fills missing values (zero, mean, or median) for brand mention inventory data (mention_count, source_count) across up to 200 rows.

Generates a Base-100 index series and a keyed dataset comparison report for two supplied brand mention inventory datasets (mention_count or source_count), up to 200 rows each.

Computes a Base-100 index series and a source_count-weighted mean for supplied brand mention inventory data (mention_count, source_count), returning two analytical reports for up to 200 rows.

Computes a Base-100 indexed time series and two-measure correlation report for supplied brand mention inventory data (mention_count and source_count) across up to 200 rows.

Analyzes brand mention inventory records by computing category-level frequency distributions and adjacent-row delta changes for mention_count or source_count fields.

Computes category-level frequency distributions and a Base-100 indexed series for up to 200 rows of brand mention inventory data (mention_count and source_count fields).

Computes category-level frequency breakdowns and daily sum time series for supplied brand mention inventory data (mention_count, source_count) across company groups.

Analyzes brand mention inventory records to produce two reports: category frequency counts and a date-by-category pivot, for up to 200 rows of mention and source count data.

Computes category-level frequency counts and an equal-width histogram for brand mention inventory records (mention_count or source_count) across up to 200 rows.

Computes category frequencies and IQR-based outlier flags for brand mention inventory records (mention_count or source_count) across company groups, delivering two analytical reports for up to 200 rows.

Analyzes brand mention inventory records to produce category-level frequency summaries and a row-keyed comparison between two supplied datasets (up to 200 rows each, two reports per call).

Computes category frequency distributions and applies a numeric interval filter on user-supplied brand mention inventory records (mention_count, source_count), returning two local analytical reports for up to 200 rows.

Computes category-level frequencies and secondary-measure weighted mean statistics for up to 200 rows of brand mention inventory data (mention_count, source_count) using local analytics — no external calls.

Computes category-level frequency distributions and trailing moving-average time series for supplied brand mention inventory records (mention_count or source_count), returning two analytical reports for up to 200 rows.

Computes category frequencies and a two-measure correlation (mention_count vs source_count) for up to 200 rows of brand mention inventory data using local analytical engines.

Analyzes supplied brand mention inventory rows to produce a daily sum time series and adjacent row change report for mention_count or source_count.

Computes a daily sum time series and an equal-width histogram for brand mention inventory data (mention_count, source_count) supplied by the caller — up to 200 rows, two reports in one call.

Computes daily aggregated sums and IQR-based outlier flags for brand mention inventory data (mention_count, source_count) across company groups, returning up to 2 independent analytical reports for up to 200 rows.

Computes a daily sum time series and a keyed dataset comparison for up to 200 brand mention inventory rows (mention_count, source_count) using local analytical engines.

Computes daily sum time series and secondary-measure weighted mean for brand mention inventory records (mention_count, source_count) across up to 200 rows, producing two analytical reports.

Computes daily sum series and trailing moving-average series for supplied brand mention inventory records (mention_count or source_count) across company groups.

Pivots brand mention inventory rows by date and company category, then fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Analyzes up to 200 brand mention inventory rows to produce two local analytical reports: a duplicate key report and an adjacent row changes report for mention_count or source_count fields.

Generates two local analytical reports for brand mention inventory data: a duplicate key report and a base-100 indexed series for mention_count or source_count, covering up to 200 rows.

Analyzes supplied brand mention inventory records to produce a duplicate key report and category frequency breakdown for mention_count and source_count fields, covering up to 200 rows.

Analyzes supplied brand mention inventory records to produce a duplicate key report and a daily sum time series for mention_count or source_count fields.

Generates two local analytical reports — a duplicate key report and a date-by-category pivot — on supplied brand mention inventory records (mention_count, source_count), for up to 200 rows.

Analyzes supplied brand mention inventory records to produce a duplicate key report and an equal-width histogram for mention_count or source_count fields.

Analyzes supplied brand mention inventory rows to produce a duplicate key report and IQR-based outlier flags for mention_count or source_count fields.

Analyzes up to 200 rows of brand mention inventory data to produce two reports: a duplicate key detection report and a keyed dataset comparison between two supplied datasets.

Generates a duplicate key report and a trailing mean series for supplied brand mention inventory records (mention_count, source_count) using local analytical engines — no external lookups.

Runs two local analytical reports on supplied brand mention data: a duplicate key detection report and a Pearson/rank correlation between mention_count and source_count.

Generates two local analytical reports (equal-width histogram and date-by-category pivot) for supplied brand mention inventory data (mention_count, source_count) across up to 200 rows.

Generates an equal-width histogram and fills missing values for brand mention inventory data (mention_count, source_count) across up to 200 rows in two independent analytical reports.

Generates an equal-width histogram and IQR-based outlier flags for brand mention inventory records (mention_count or source_count) across up to 200 rows.

Deduplicates brand mention inventory rows and computes category-level mention/source frequency reports for up to 200 supplied records.

Performs exact row deduplication and generates a duplicate key report for brand mention inventory records (mention_count, source_count) for up to 200 rows.

Deduplicates exact rows and flags IQR-based outliers in supplied brand mention inventory records (mention_count, source_count) for up to 200 rows across 2 reports.

Deduplicates brand mention inventory rows exactly and compares two keyed datasets of mention/source counts, returning two analytical reports for up to 200 rows.

Deduplicates exact rows and filters by numeric interval in supplied brand mention inventory records (mention_count, source_count), producing 2 analytical reports for up to 200 rows.

Deduplicates brand mention inventory rows exactly and computes a secondary-measure weighted mean (mention_count or source_count) across up to 200 supplied records, returning two analytical reports.

Deduplicates brand mention inventory records and computes trailing mean series for mention_count or source_count fields, returning two analytical reports for up to 200 rows.

Deduplicates brand mention inventory rows exactly and computes correlation between mention_count and source_count across up to 200 supplied records, returning two analytical reports.

Computes a grouped numeric summary and a Base-100 indexed time series for brand mention inventory records (mention_count, source_count) across up to 200 rows using local analytical engines.

Computes grouped numeric summary statistics and category frequency distributions for up to 200 rows of brand mention inventory data (mention_count, source_count) across company groups.

Computes a grouped numeric summary and a daily sum time series for supplied brand mention inventory data (mention_count, source_count) across company groups.

Produces two local analytical reports from supplied brand mention inventory rows: a grouped numeric summary and a date-by-category pivot table for mention_count or source_count.

Computes a grouped numeric summary and an equal-width histogram for brand mention inventory records (mention_count, source_count) across up to 200 rows.

Computes grouped numeric summaries and fills missing values for brand mention inventory records (mention_count, source_count) across up to 200 rows, producing 2 analytical reports.

Computes grouped numeric summary statistics and IQR-based outlier flags for brand mention inventory records (mention_count or source_count), producing two analytical reports from supplied data.

Computes a grouped numeric summary and a keyed dataset comparison for two sets of brand mention inventory records (mention_count, source_count) in a single call.

Computes a grouped numeric summary and a trailing mean time series for supplied brand mention inventory records (mention_count, source_count) across up to 200 rows.

Computes a grouped numeric summary and a two-measure correlation report for brand mention inventory data (mention_count and source_count) across up to 200 rows.

Runs two local analytical reports on supplied brand mention data: IQR-based outlier detection on mention_count or source_count, and a date-by-category pivot table, for up to 200 rows.

Detects IQR-based outliers and fills missing values in brand mention inventory records (mention_count, source_count) for up to 200 rows, producing two analytical reports.

Runs IQR-based outlier detection and two-measure correlation analysis on up to 200 rows of brand mention inventory data (mention_count, source_count).

Compares two brand mention inventory datasets by row key and fills in missing mention_count or source_count values, producing two analytical reports for up to 200 rows.

Computes numeric distribution statistics and category frequency reports for supplied brand mention inventory records (mention_count, source_count) across up to 200 rows.

Computes numeric distribution statistics and a daily sum time series for brand mention inventory data (mention_count, source_count) across up to 200 rows.

Analyzes supplied brand mention inventory records by producing a numeric distribution report and a date-by-category pivot for mention_count or source_count fields, across up to 200 rows.

Generates a numeric distribution report and a grouped numeric summary for up to 200 brand mention inventory records, analyzing mention_count and source_count fields.

Computes numeric distribution statistics and IQR-based outlier flags for brand mention inventory data (mention_count and source_count fields) across up to 200 supplied rows.

Computes numeric distribution statistics and performs keyed row-by-row comparison between two supplied brand mention inventory datasets (mention_count, source_count) for up to 200 rows each.

Analyzes brand mention inventory data (mention_count, source_count) by producing a numeric distribution report and a numeric interval filter report, up to 200 rows.

Computes numeric distribution statistics and a trailing mean series for brand mention inventory data (mention_count, source_count) supplied by the caller — no external lookups.

Computes numeric distribution statistics and correlation between mention_count and source_count for supplied brand mention inventory records (up to 200 rows).

Filters brand mention inventory rows by a numeric range on mention_count or source_count and computes adjacent-row changes, returning two analytical reports for up to 200 supplied rows.

Filters brand mention inventory rows by a numeric range and computes a Base-100 index series for mention_count or source_count, delivering two analytical reports for up to 200 supplied rows.

Filters brand mention inventory rows by a numeric range and computes daily sum time series for mention_count or source_count, returning two analytical reports for up to 200 supplied rows.

Filters brand mention inventory rows by a numeric interval and produces an equal-width histogram for mention_count or source_count across up to 200 supplied records.

Applies a numeric interval filter and IQR-based outlier detection to user-supplied brand mention inventory records (mention_count, source_count), returning two analytical reports for up to 200 rows.

Applies numeric interval filtering and keyed dataset comparison to two supplied brand mention inventory datasets (mention_count, source_count) for up to 200 rows each, producing 2 independent analytical reports.

Filters brand mention inventory rows by a numeric interval on a chosen field and computes a source-count-weighted mean of mention data, returning up to 2 analytical reports for up to 200 rows.

Ranks brand mention inventory rows numerically and compares two brand mention datasets by key, covering mention_count and source_count fields for up to 200 rows per report.