All Services

Deduplicates exact rows and applies numeric row ordering to supplied marketplace charge records (gross_amount, fee_amount), returning 2 analytical reports for up to 200 rows.

Compares two keyed datasets of marketplace charge records (gross_amount, fee_amount) and fills missing values, producing 2 analytical reports for up to 200 rows.

Computes numeric row ordering and adjacent row changes for market survey observation records (respondent_count or sample_weight) across up to 200 rows, returning two analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 matchmaking observation rows containing queue_seconds and party_size fields.

Analyzes supplied material library records to produce two reports: adjacent row-to-row changes and a date-by-category pivot, for up to 200 rows.

Computes adjacent row-over-row changes and secondary-measure weighted mean analytics for supplied material library records (material_count, texture_mb) across up to 200 rows.

Computes a numeric distribution and applies a numeric interval filter on material_count or texture_mb fields from up to 200 material library records, returning 2 analytical reports.

Sorts material library records by a numeric field and computes a secondary-measure weighted mean across up to 200 supplied rows, returning two analytical reports.

Submits an action and capsule payload to receive a protocol-level decision verdict from the SML gate

Normalises string fields and filters meeting load records (meeting_minutes, participant_count) by a numeric interval, returning two analytical reports for up to 200 rows.

Analyzes up to 200 metadata completeness records to produce a duplicate key report and fill missing values (present_fields or expected_fields) using zero, mean, or median imputation.

Computes grouped numeric summaries and numeric row ordering for metadata completeness records (present_fields, expected_fields) across up to 200 rows.

Compares two keyed datasets of metadata completeness records (present_fields vs expected_fields) and fills missing values, producing 2 analytical reports for up to 200 rows.

Analyzes metadata completeness records by computing numeric row ordering and adjacent row changes for up to 200 rows, returning two analytical reports.

Processes game top-up or in-game currency purchase requests via a pay-per-call USDC payment model on Base Mainnet

Normalises component/label strings and computes a weighted mean for a secondary numeric measure across supplied migration batch records (records_migrated, failed_records) for up to 200 rows, returning two analytical reports.

Returns metadata and information about an ERC-1155 multi-token smart contract standard

Normalises string fields and filters rows by a numeric interval for moderation queue data (reported_items, reviewed_items) across up to 200 rows, returning two analytical reports.

Runs three local analytical reports on motion capture records: record quality audit, string normalisation, and secondary-measure weighted mean for frame_count or missing_frames fields.

Analyzes up to 200 navigation path records to produce two reports: a duplicate key detection report and a trailing moving average series for path_length or search_ms.

Analyzes up to 200 network link records to produce a duplicate key report and numeric row ordering for transferred_mb or duration_seconds fields.

Enumerates owner, subject, revision, content, and scope pin changes between two supplied revisions of a synthetic neural-interface model/calibration/pipeline record by stable record ID.

Analyzes news archive completeness records by computing category frequencies for channel groups and filtering rows by a numeric interval on indexed_items or expected_items, returning two analytical reports for up to 200 rows.

Runs string normalisation and daily sum series analysis on up to 200 news archive completeness records (indexed_items, expected_items), returning two analytical reports per call.

Extracts or generates relevant keywords from a given query or text input using AI

Generates a personalized meal plan based on a natural language query describing dietary preferences, goals, or constraints

Calculates recommended tip amounts for a given financial transaction or bill

Calls a specific micro-service endpoint in the CIEL M2M marketplace, likely a Hugging Face model inference or data transformation task, billed per call via USDC on Base.

Executes a paid AI inference request over the x402 micropayment protocol on the /lanes/live endpoint, returning a JSON result with an associated audit trail

Solves mathematical expressions or equations submitted as a natural language or symbolic query string

Performs tier-4 text analysis on a given string, returning a structured result via a pay-per-call x402-gated API on Base.

Applies a tier-2 text transformation to a given input string, returning a processed result via a low-cost pay-per-call API on Base.

Runs a tier-3 depth text analysis on a given string, returning a structured result via pay-per-call x402 API on Base.

Encodes text using a tier-3 encoding/transformation algorithm via a low-cost pay-per-call API on Base blockchain.

Segments and packs input text into structured tier-10 output chunks for use by autonomous agents.

Segments and packs input text into structured chunks at the Tier 2 processing level, optimized for autonomous agent pipelines.

Applies a tier-5 text transformation to input text, returning a transformed result via a pay-per-call x402 API on Base.

Segments and processes input text using a tier-7 algorithm via a pay-per-call x402 API on Base.

Transforms input text using a tier-3 processing level via a low-cost pay-per-call API on Base using x402 micropayments.

Binds optical measurement rows to a supplied dataset/material/lot/revision record to verify reference integrity, without performing independent certification.

Binds optical measurement records to owner, subject, revision, content, and source frames to produce a coverage map over supplied record sets

Generates a styled content snippet from input text using a specified writing style

Publishes or processes a bulletin/content item from a text input via the Orbonomy content API

Audits ownership record completeness data (documented_links vs required_links) with record quality checks, string normalisation, and numeric row ordering across up to 200 rows, returning 3 independent analytical reports.

Normalises company/group strings and sorts ownership completeness rows numerically for up to 200 records, producing two analytical reports on documented_links and required_links fields.

Computes a two-measure Pearson/Spearman correlation and a secondary-measure weighted mean for ownership record completeness data (documented_links vs required_links) across up to 200 rows.

Runs a data quality audit and secondary-measure weighted mean on packaging usage records (packages_sent, material_grams) for up to 200 rows, returning two analytical reports.

Computes trailing moving-average time series and Pearson/rank correlation between changed_blocks and total_blocks for up to 200 page-change observation rows.

Runs three analytical reports (record quality audit, string normalisation, and date-by-category pivot) on page extraction coverage data containing extracted_fields and expected_fields counts.

Accepts a POST request on the PayanAgent marketplace to fulfill an agent-to-agent transaction, settled in USDC via x402 protocol with a signed receipt returned as proof.

Posts an offer, request, or bespoke work listing to the PayanAgent agent-to-agent marketplace, enabling AI agents to buy and sell services in USDC on Base via x402 micropayments.

Normalises strings and produces a date-by-category pivot table from peer feedback records containing review counts and actioned comments (up to 200 rows, 2 reports per call).

Fetches current weather conditions via a paid x402 micropayment settlement endpoint on PennyRail's network

Validates whether a given string is a properly formatted UUID

Looks up the MIME type for a given file extension or filename via a paid micro-settlement API

Runs a mini LLM inference job via PennyRail's pay-per-call settlement layer for $0.01 USDC per request

Compares two keyed physics simulation datasets (body_count or step_ms) row-by-row and fills in missing values, returning two analytical reports.

Runs two analytical reports on physics scene records: a record quality audit and a date-by-category pivot, using body_count or step_ms as the metric field.

Runs a record quality audit and a secondary-measure weighted mean analysis on up to 200 physics scene rows (body_count, step_ms), returning two independent analytical reports.

Enumerates owner, subject, revision, content, and scope pin changes between two supplied revisions of planetary measurement records, identified by stable record ID.

Runs string normalisation and trailing mean series analytics on user-supplied podcast observation records (download_count, duration_minutes) for up to 200 rows.

Computes adjacent row changes and secondary-measure weighted mean analytics for point cloud datasets (point_count, file_mb) — up to 200 rows, two reports per call.

Audits one-to-one identifier alias mappings against typed polymer lot/method-pinned measurement records to detect crosswalk inconsistencies

Computes adjacent-row delta changes and elevation-weighted mean statistics for up to 200 supplied pressure observation records

Audits data quality and normalises strings for up to 200 rows of atmospheric pressure observation records containing pressure_hpa and elevation_m fields, returning two independent analytical reports.

Solves mathematical expressions, equations, or problems given a natural language or symbolic query

Deduplicates procurement research rows and generates a Base-100 index series for quoted_amount or quoted_units fields across up to 200 supplied records.

Normalises company group strings and orders rows numerically by quoted_amount or quoted_units for up to 200 procurement research records, producing 2 analytical reports per call.

Computes Pearson/rank correlation between quoted_amount and quoted_units, plus a weighted mean of the secondary measure, for up to 200 procurement research rows in two bundled analytical reports.

Normalises string fields and produces grouped numeric summaries for product photography records (required_images, completed_images) across up to 200 rows.

Deduplicates exact rows and numerically orders records from promotion observation data (discount_amount, units_sold) across up to 200 rows, producing 2 analytical reports.

Runs two local analytical reports on proposal preparation data: string normalisation and daily sum series aggregation, for up to 200 rows of completed/planned sections.

Validates that protein/isoform/sequence-pinned measurement records conform to declared owner, subject, revision, and allowed scope labels without granting permissions or certifying data.

Compares two sets of typed provenance manifest records for semantic parity by checking parsed field projections, preserving pins and scope, while ignoring record ordering.

Checks parent existence and detects cycles in owner and subject relationships within supplied publication record rows, reporting referential integrity issues without certifying the data independently.

Audits the declared chronological order of issue, update, and retrieval timestamps in a publication record against a specified assessment instant.

Compares supplied qubit, topology, gate-set, and configuration-revision declarations against a pinned snapshot digest offline, without querying live hardware.

Sends a message to a Questflow swarm agent instance and returns the agent's response

Returns current atomic swap market information for RADH↔BTC pairs on RadhikaChain, including open offers, locked totals, and protocol mechanics.

Returns a live snapshot of blockchain telemetry, network threat intelligence (port scans, TCP flag anomalies), and atomic swap status for the RadhikaChain federation

Returns blockchain telemetry, defense intelligence, and verifiable computation resources (Halo2, Nova, Plonky3) via a pay-per-request x402 USDC micropayment gateway.

Compares closed export-field schema directionality for supplied reaction records, identifying breaking vs. non-breaking field changes without independent certification.

Binds reaction record references to an exact owner/subject/revision/content/source frame to verify declared source coverage metadata against supplied rows and sources.

Analyzes up to 200 reading activity records (pages_read, reading_minutes) to produce two local analytical reports: a duplicate key report and an adjacent row changes series.

Computes numeric distribution and row ordering statistics for accepted_records and rejected_records fields across up to 200 supplied routing records, returning two analytical reports per call.

Filters record routing data (accepted/rejected records) by a numeric interval and produces a date-by-category pivot table, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on record routing data: a quality audit of accepted/rejected records and a secondary-measure weighted mean, for up to 200 rows.

Runs three local analytical reports on record routing data — quality audit, string normalisation, and secondary-measure weighted mean — for up to 200 rows of accepted/rejected record counts.

Computes string normalisation and base-100 index series for accepted_records and rejected_records fields across up to 200 supplied record routing rows, returning two independent analytical reports.

Computes adjacent-row delta changes and fills missing values for recovery objective records containing target and observed minutes, returning two analytical reports for up to 200 rows.

Applies a numeric interval filter and computes a trailing mean series on recovery objective records (target_minutes and observed_minutes) for up to 200 rows, returning two analytical reports.

Computes numeric row ordering and adjacent row changes for recovery objective records (target_minutes, observed_minutes) across up to 200 rows, returning two analytical reports.

Orders rows numerically by date and fills missing values (zero, mean, or median) in target_minutes or observed_minutes fields of recovery objectives records, returning 2 analytical reports for up to 200 rows.

Computes numeric row ordering and a trailing mean series for recovery objective records (target_minutes vs observed_minutes) across up to 200 rows, returning two analytical reports.

Analyzes redirect observation records by computing numeric row ordering and adjacent row changes for redirect_count or final_status_code fields across up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on redirect observation data containing redirect counts and final HTTP status codes, for up to 200 rows.

Deduplicates release note coverage rows exactly and filters them by a numeric interval across documented_changes or released_changes fields, returning two analytical reports for up to 200 rows.

Deduplicates release note coverage rows exactly and computes a secondary-measure weighted mean across documented_changes and released_changes fields, producing two analytical reports from supplied data.

Applies a numeric interval filter and adjacent row change analysis to release note coverage records (documented_changes, released_changes), returning 2 analytical reports for up to 200 rows.

Filters release note coverage records by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.