All Services

Computes Pearson correlation between lead_days and received_units, and fills missing values using zero, mean, or median imputation, for up to 200 replenishment timing rows.

Runs three analytical reports on returns handling data: a record quality audit, exact row deduplication, and a duplicate key report — all locally, with no external calls.

Runs three local analytical reports on returns handling data: a record quality audit, string normalisation, and a date-by-category pivot for up to 200 rows of returned_units and processing_minutes data.

Audits record quality and filters by numeric interval for rig complexity data (bone_count, constraint_count) across up to 200 rows, producing two independent analytical reports.

Compares two road segment observation datasets by key and fills missing values (length_m or travel_seconds) for up to 200 rows, producing 2 analytical reports.

Applies numeric row ordering and explicit missing-value fill (zero, mean, or median) to road segment observation records containing length_m and travel_seconds fields, returning two analytical reports for up to 200 rows.

Audits record quality and detects adjacent row changes in road segment observation data (length_m, travel_seconds) for up to 200 rows, returning two analytical reports.

Compares two sets of parsed typed record projections from robot/frame/clock/calibration-pinned telemetry exports for semantic parity, ignoring field order while preserving all pins and scope.

Checks whether required fields are present across robotics telemetry dataset rows, returning null for each missing required field rather than treating absence as an error

Validates that robotics telemetry records conform to declared owner, subject, revision, and allowed scope labels, flagging any mismatches or unauthorized scope references.

Binds telemetry record references to an exact owner/subject/revision/content/source frame and produces a hash-based source coverage map for robot/frame/clock/calibration-pinned telemetry data.

Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 rows of robots.txt review observation data (checked_paths, restricted_paths).

Generates a versioned localStorage save validation and bounded input replay ES module for a horizontal game preset, configurable by seed, title, and accent color.

Analyzes game save file records to produce a duplicate key report and a trailing mean time series for save_kb or write_ms metrics, across up to 200 rows.

Computes a secondary-measure weighted mean and fills missing values in save-file records (save_kb, write_ms) for up to 200 rows, producing 2 analytical reports.

Computes Pearson/rank correlation between save_kb and write_ms fields and fills missing values using zero, mean, or median strategy for up to 200 game save-file records.

Filters savings ledger rows by a numeric range on deposit or withdrawal amount and computes a two-measure correlation between deposit_amount and withdrawal_amount, returning two analytical reports for up to 200 rows.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 scene geometry records (object_count, triangle_count) using local analytics — no external lookups or predictions.

Computes Pearson/rank correlation between object_count and triangle_count, plus a weighted mean of a secondary measure, across up to 200 scene geometry records in two bundled analytical reports.

Generates spotlight-style content (summary, highlights, or feature copy) for a given title and optional description

Returns verifiable market cycle evidence data for a given ticker symbol (locked to GME in v1), delivered via x402 pay-per-accepted-delivery.

Submits a quality/usefulness report for a specific x402 API resource call, including outcome, latency, and settlement transaction details

Returns macro market intelligence signals via the SML 741 Pure Macro Matrix, delivered on a pay-per-accepted-delivery x402 model

Normalises string fields and computes numeric distribution statistics for up to 200 search result observation records (result_count, unique_domains) in two independent analytical reports.

Computes correlation between two measures (participants and completions) and fills missing values using zero, mean, or median for security training records, returning two analytical reports for up to 200 rows.

Generates 16–256 synthetic sine/noise samples with seeded LCG noise and configurable artifact patterns (blinks, spikes, dropouts) for testing purposes

Deduplicates exact duplicate rows and computes a trailing mean time series for service request handling records (request_count, resolution_minutes) across up to 200 rows.

Deduplicates settlement timing records exactly by row and computes a payment-count-weighted mean of settlement minutes (or payment counts) across up to 200 supplied rows.

Analyzes settlement timing records by applying numeric row ordering and adjacent row change detection across up to 200 rows, returning two bundled analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and base-100 index series) on supplied settlement timing data rows containing settlement_minutes and payment_count fields.

Runs three local analytical reports on settlement timing records: a record quality audit, string normalisation, and a trailing mean time series — no external lookups or predictions.

Runs string normalisation and adjacent-row change detection on settlement timing records (settlement_minutes, payment_count) for up to 200 rows, returning two analytical reports.

Deduplicates shift coverage rows exactly and computes a secondary-measure weighted mean across covered_hours and required_hours data, returning two reports per call.

Analyzes shot schedule rows to produce two data quality reports: a duplicate key report and an adjacent row changes report for planned_hours or actual_hours.

Accepts caller-supplied JSON data and returns a structured analysis summary of agent tool usage patterns.

Analyzes supplied simulation cache records to produce two reports: numeric row ordering and adjacent row changes for cache_gb or simulation_seconds fields.

Sorts simulation cache records by a numeric field and filters rows within a specified numeric range, returning up to 2 analytical reports for up to 200 supplied rows.

Computes trailing moving-average series and adjacent-row delta changes for simulation cache metrics (cache_gb, simulation_seconds) supplied as row data, returning two analytical reports.

Computes the union of up to 32 declared half-open exposure intervals within a requested time window, returning a coverage map for sky observation conditions anchored to a specific frame, epoch, observer, and clock reference.

Fetches Instagram-related social media data based on a query string, such as profile info, posts, or analytics, via a paid micropayment-gated API

Queries Twitter/X social media data via a micropayment-gated endpoint, returning results for a given search query.

Returns pay-per-record RF telemetry and yield loss oracle data for wallet architects from the SNTL DePIN datalake, settled in USDC on Solana.

Returns pay-per-record RF telemetry and yield loss oracle data for the 'medium' wallet segment from the SNTL DePIN datalake, settled in USDC on Solana.

Returns RF telemetry violation records from the SNTL DePIN datalake, paid per-record via USDC on Solana using the x402 protocol

Pay-per-record access to SNTL's decentralized RF telemetry and agricultural yield loss oracle data, settling $0.50 USDC per call on Solana.

Returns pay-per-record RF telemetry and yield loss threat data from the SNTL DePIN oracle datalake, settling $1 USDC per call on Solana.

Provides pay-per-record access to SNTL DePIN RF telemetry and yield loss oracle data for a specific wallet, settling payment in USDC on Solana.

Analyzes up to 200 social post observation rows to produce a duplicate key report and an adjacent row changes report for impressions or engagement_count metrics.

Performs string normalisation and secondary-measure weighted mean calculations on up to 200 social post observation records containing impressions and engagement counts.

Deduplicates exact duplicate rows and applies numeric ordering to solar observation records (irradiance and duration), returning two analytical reports for up to 200 rows.

Deduplicates and numerically orders rows in source attribution datasets (cited_sources, verified_links), returning two analytical reports for up to 200 rows.

Sorts source attribution records (cited_sources, verified_links) by numeric row order and fills missing values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

Runs two local analytical reports on supplied source diversity data: numeric row ordering and a date-by-category pivot, for up to 200 rows of source_count/outlet_count records.

Runs three analytical reports on source diversity data (source_count, outlet_count): a record quality audit, exact row deduplication, and a grouped numeric summary — all offline using supplied rows.

Audits record quality, normalises strings, and computes correlation between source_count and outlet_count for up to 200 rows of source diversity data.

Returns settlement-verified paid-call count data for x402 endpoints, reflecting actual on-chain payment settlements as demand signals.

Adds paid video slots to an existing mutable TokPortal bundle campaign on StableInfluencer

Applies numeric row ordering and a date-by-category pivot analysis to user-supplied staking rewards data (reward_units, staked_units), returning two local analytical reports for up to 200 rows.

Compares two sets of study note records by exact typed metadata fields (notebook, source, revision, claim-kind, basis, locator) without semantic or text analysis, returning a parity result valid for 24 hours.

Assigns numeric row order ranks and computes a base-100 index series for study recruitment data (eligible_candidates or enrolled_candidates) across up to 200 supplied rows.

Audits up to 200 labelled subscription-request text records to identify exact normalised duplicates across upgrade, downgrade, cancel, and renew categories.

Computes adjacent row delta analysis and Pearson/rank correlation between checked_criteria and met_criteria for up to 200 supplier qualification records.

Identifies and surfaces low-confidence support ticket classifications (billing, technical, account, other) from a naive-Bayes model for human review.

Normalises channel_group strings and sorts rows by a chosen numeric field (republished_items or source_items) for up to 200 syndication observation records, producing two analytical reports.

Analyzes table extraction records by computing correlation between extracted_rows and expected_rows, and comparing two keyed datasets side-by-side, returning two independent analytical reports for up to 200 rows.

Sorts technical manual coverage records by numeric row order and compares two keyed datasets (documented_tasks vs required_tasks) across up to 200 rows, returning two analytical reports.

Computes a Pearson/Spearman correlation between documented_tasks and required_tasks, plus a weighted mean of a secondary measure, across up to 200 technical manual coverage records.

Filters temperature observation rows by a numeric range and computes a base-100 index series for up to 200 supplied records, returning two analytical reports.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied temperature observation records in a single paid call.

Computes adjacent row change analysis and two-measure correlation for texture baking records (bake_seconds, texture_pixels) using local analytical engines, returning two reports for up to 200 rows.

Computes category frequency counts and Pearson/Spearman correlation between bake_seconds and texture_pixels for up to 200 supplied texture baking records.

Computes grouped numeric summary statistics and category frequency distributions for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.

Runs two local analytical reports on texture baking records: a record quality audit and an adjacent row change analysis, for up to 200 rows of bake_seconds or texture_pixels data.

Audits record quality and removes exact duplicate rows from supplied texture baking datasets (bake_seconds, texture_pixels), returning two independent analytical reports for up to 200 rows.

Runs two analytical reports (record quality audit and numeric distribution) on supplied texture baking data (bake_seconds, texture_pixels) for up to 200 rows, entirely offline.

Audits record quality and applies numeric row ordering to supplied texture baking data (bake_seconds, texture_pixels) for up to 200 rows, producing 2 independent analytical reports.

Computes grouped numeric summary statistics and applies a numeric interval filter on texture streaming records (loaded_mb, stream_ms) for up to 200 rows, returning 2 independent analytical reports.

Runs two analytical reports on texture streaming records: a record quality audit and a secondary-measure weighted mean, for up to 200 rows of loaded_mb/stream_ms data.

Runs three local analytical reports on texture streaming records: a record quality audit, string normalization of game_area labels, and a grouped numeric summary of loaded_mb or stream_ms metrics — for up to 200 rows.

Computes the difference between two sequences of thermal measurement records, separating true record insertions/deletions from reorderings without conflating the two.

Binds thermal measurement records to a declared owner/subject/revision/content/source frame and maps source coverage across supplied rows and sources for a given data class.

Fetches prediction market data and insights via a pay-per-call x402 USDC micropayment endpoint, no API key required.

Returns a consumer brief data payload for a given query, paid per-call in USDC on Base via x402 protocol

Returns economic momentum signals and data for a given query, payable per-call in USDC via x402 on Base mainnet with no API key required.

Delivers a single plain-text reading unit from a pinned edition of 'The Synthetic Self', with content integrity hashes and personal/internal reading rights enforced.

Computes numeric row ordering and secondary-measure weighted mean analytics on time series completeness records (observed_points vs expected_points) for up to 200 rows, returning two independent reports.

Analyzes up to 200 time series completeness records by performing string normalisation and secondary-measure weighted mean calculations across observed vs expected data points, producing two independent analytical reports.

Computes local finite-change elasticity for token assessment evidence coverage given observed vs requested field counts and a step size

Calculates a base-100 rebase index comparing actual vs expected USD token sell proceeds to quantify shortfall across multiple transactions

Computes the sequential (waterfall) attribution of changes in a token's rule-flag fraction by comparing before/after flagged-rule and evaluated-rule counts.

Analyzes up to 200 transcript preparation records to produce category frequency counts and fills missing values in a specified field using zero, mean, or median imputation.

Analyzes transcript preparation records by computing category frequencies for document_group and sorting rows numerically by transcribed_minutes or source_minutes — returns two analytical reports for up to 200 rows.

Filters transcript preparation records by a numeric interval on a chosen field and produces a date-by-category pivot table, returning both reports for up to 200 rows.

Filters transformation throughput records by a numeric interval and fills missing values in processed_rows or duration_seconds fields using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.

Runs three local analytical reports on transformation throughput records: record quality audit, exact row deduplication, and a base-100 index series for processed_rows or duration_seconds.

Audits record quality, normalises strings, and computes numeric distribution statistics for transformation throughput data (processed_rows, duration_seconds) across up to 200 rows.

Audits data quality, normalises strings, and filters by numeric interval for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows in three bundled reports.

Computes grouped numeric summary statistics and a secondary-measure weighted mean for up to 200 travel administration records (trip_count, recorded_cost) using local analytical engines.

Sorts travel administration records (trip_count or recorded_cost) by numeric value and computes adjacent row differences, returning 2 analytical reports for up to 200 rows.

Validates that declared aggregate count kinds match unit labels within a single trial registry record (source/work/study/revision).